Paul Pharoah

Paul Pharoah

University of Cambridge

H-index: 160

Europe-United Kingdom

Paul Pharoah Information

University

University of Cambridge

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Citations(all)

109209

Citations(since 2020)

46821

Cited By

82602

hIndex(all)

160

hIndex(since 2020)

99

i10Index(all)

729

i10Index(since 2020)

581

Email

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University of Cambridge

Paul Pharoah Skills & Research Interests

Cancer

genetics

public health

Top articles of Paul Pharoah

Exome sequencing identifies HELB as a novel susceptibility gene for non-mucinous, non-high-grade-serous epithelial ovarian cancer

Authors

Ed M Dicks,Jonthan P Tyrer,Suzana Ezquina,Michelle Jones,John Baierl,Pei-Chen Peng,Michael Diaz,Ellen Goode,Stacey J Winham,Thilo Doerk,Toon Van Gorp,Anna De Fazio,David Bowtell,Kunle Odunsi,Kirsten Moysich,Marina Pavanello,Ian Campbell,James D Brenton,Susan J Ramus,Simon A Gayther,Paul DP Pharoah

Journal

medRxiv

Published Date

2024

Rare, germline loss-of-function variants in a handful of genes that encode DNA repair proteins have been shown to be associated with epithelial ovarian cancer with a stronger association for the high-grade serous hiostotype. The aim of this study was to collate exome sequencing data from multiple epithelial ovarian cancer case cohorts and controls in order to systematically evaluate the role of coding, loss-of-function variants across the genome in epithelial ovarian cancer risk. We assembled exome data for a total of 2,573 non-mucinous cases (1,876 high-grade serous and 697 non-high grade serous) and 13,925 controls. Harmonised variant calling and quality control filtering was applied across the different data sets. We carried out a gene-by-gene simple burden test for association of rare loss-of-function variants (minor allele frequency < 0.1%) with all non-mucinous ovarian cancer, high grade serous ovarian cancer and non-high grade serous ovarian cancer using logistic regression adjusted for the top four principal components to account for cryptic population structure and genetic ancestry. Seven of the top 10 associated genes were associations of the known ovarian cancer susceptibility genes BRCA1, BRCA2, BRIP1, RAD51C, RAD51D, MSH6 and PALB2 (false discovery probability < 0.1). A further four genes (HELB, OR2T35, NBN and MYO1A) had a false discovery rate of less than 0.1. Of these, HELB was most strongly associated with the non-high grade serous histotype (P = 1.3x10-6, FDR = 9.1x10-4). Further support for this association comes from the observation that loss of function variants in this gene are also associated …

Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis

Authors

Marina O Rontogianni,Emmanouil Bouras,Elom Kouassivi Aglago,Heinz Freisling,Neil Murphy,Michelle Cotterchio,Jochen Hampe,Annika Lindblom,Rish K Pai,Paul DP Pharoah,Amanda I Phipps,Franzel JB van Duijnhoven,Kala Visvanathan,Bethany van Guelpen,Christopher I Li,Hermann Brenner,Andrew J Pellatt,Shuji Ogino,Marc J Gunter,Ulrike Peters,Sofia Christakoudi,Konstantinos K Tsilidis

Journal

International Journal of Obesity

Published Date

2024/1/31

BackgroundTraditional body-shape indices such as Waist Circumference (WC), Hip Circumference (HC), and Waist-to-Hip Ratio (WHR) are associated with colorectal cancer (CRC) risk, but are correlated with Body Mass Index (BMI), and adjustment for BMI introduces a strong correlation with height. Thus, new allometric indices have been developed, namely A Body Shape Index (ABSI), Hip Index (HI), and Waist-to-Hip Index (WHI), which are uncorrelated with weight and height; these have also been associated with CRC risk in observational studies, but information from Mendelian randomization (MR) studies is missing.MethodsWe used two-sample MR to examine potential causal cancer site- and sex-specific associations of the genetically-predicted allometric body-shape indices with CRC risk, and compared them with BMI-adjusted traditional body-shape indices, and BMI. Data were obtained from UK Biobank …

Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Authors

Zhishan Chen,Xingyi Guo,Ran Tao,Jeroen R Huyghe,Philip J Law,Ceres Fernandez-Rozadilla,Jie Ping,Guochong Jia,Jirong Long,Chao Li,Quanhu Shen,Yuhan Xie,Maria N Timofeeva,Minta Thomas,Stephanie L Schmit,Virginia Díez-Obrero,Matthew Devall,Ferran Moratalla-Navarro,Juan Fernandez-Tajes,Claire Palles,Kitty Sherwood,Sarah EW Briggs,Victoria Svinti,Kevin Donnelly,Susan M Farrington,James Blackmur,Peter G Vaughan-Shaw,Xiao-Ou Shu,Yingchang Lu,Peter Broderick,James Studd,Tabitha A Harrison,David V Conti,Fredrick R Schumacher,Marilena Melas,Gad Rennert,Mireia Obón-Santacana,Vicente Martín-Sánchez,Jae Hwan Oh,Jeongseon Kim,Sun Ha Jee,Keum Ji Jung,Sun-Seog Kweon,Min-Ho Shin,Aesun Shin,Yoon-Ok Ahn,Dong-Hyun Kim,Isao Oze,Wanqing Wen,Keitaro Matsuo,Koichi Matsuda,Chizu Tanikawa,Zefang Ren,Yu-Tang Gao,Wei-Hua Jia,John L Hopper,Mark A Jenkins,Aung Ko Win,Rish K Pai,Jane C Figueiredo,Robert W Haile,Steven Gallinger,Michael O Woods,Polly A Newcomb,David Duggan,Jeremy P Cheadle,Richard Kaplan,Rachel Kerr,David Kerr,Iva Kirac,Jan Böhm,Jukka-Pekka Mecklin,Pekka Jousilahti,Paul Knekt,Lauri A Aaltonen,Harri Rissanen,Eero Pukkala,Johan G Eriksson,Tatiana Cajuso,Ulrika Hänninen,Johanna Kondelin,Kimmo Palin,Tomas Tanskanen,Laura Renkonen-Sinisalo,Satu Männistö,Demetrius Albanes,Stephanie J Weinstein,Edward Ruiz-Narvaez,Julie R Palmer,Daniel D Buchanan,Elizabeth A Platz,Kala Visvanathan,Cornelia M Ulrich,Erin Siegel,Stefanie Brezina,Andrea Gsur,Peter T Campbell,Jenny Chang-Claude,Michael Hoffmeister,Hermann Brenner,Martha L Slattery,John D Potter,Kostas K Tsilidis,Matthias B Schulze,Marc J Gunter,Neil Murphy,Antoni Castells,Sergi Castellví-Bel,Leticia Moreira,Volker Arndt,Anna Shcherbina,D Timothy Bishop,Graham G Giles,Melissa C Southey,Gregory E Idos,Kevin J McDonnell,Zomoroda Abu-Ful,Joel K Greenson,Katerina Shulman,Flavio Lejbkowicz,Kenneth Offit,Yu-Ru Su,Robert Steinfelder,Temitope O Keku,Bethany van Guelpen,Thomas J Hudson,Heather Hampel,Rachel Pearlman,Sonja I Berndt,Richard B Hayes,Marie Elena Martinez,Sushma S Thomas,Paul DP Pharoah,Susanna C Larsson,Yun Yen,Heinz-Josef Lenz,Emily White,Li Li,Kimberly F Doheny,Elizabeth Pugh,Tameka Shelford,Andrew T Chan,Marcia Cruz-Correa,Annika Lindblom,David J Hunter,Amit D Joshi,Clemens Schafmayer,Peter C Scacheri,Anshul Kundaje,Robert E Schoen

Journal

Nature Communications

Published Date

2024/4/26

Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 …

Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction

Authors

Kristia Yiangou,Nasim Mavaddat,Joe Dennis,Maria Zanti,Qin Wang,Manjeet K Bolla,Mustapha Abubakar,Thomas U Ahearn,Irene L Andrulis,Hoda Anton-Culver,Natalia N Antonenkova,Volker Arndt,Kristan J Aronson,Annelie Augustinsson,Adinda Baten,Sabine Behrens,Marina Bermisheva,Amy Berrington de Gonzalez,Katarzyna Bialkowska,Nicholas Boddicker,Clara Bodelon,Natalia V Bogdanova,Stig E Bojesen,Kristen D Brantley,Hiltrud Brauch,Hermann Brenner,Nicola J Camp,Federico Canzian,Jose E Castelao,Melissa H Cessna,Jenny Chang-Claude,Georgia Chenevix-Trench,Wendy K Chung,NBCS Collaborators,Sarah V Colonna,Fergus J Couch,Angela Cox,Simon S Cross,Kamila Czene,Mary B Daly,Peter Devilee,Thilo Dork,Alison M Dunning,Diana M Eccles,A Heather Eliassen,Christoph Engel,Mikael Eriksson,D Gareth Evans,Peter A Fasching,Olivia Fletcher,Henrik Flyger,Lin Fritschi,Manuela Gago-Dominguez,Aleksandra Gentry-Maharaj,Anna Gonzalez-Neira,Pascal Guenel,Eric Hahnen,Christopher A Haiman,Ute Hamann,Jaana M Hartikainen,Vikki Ho,James Hodge,Antoinette Hollestelle,Ellen Honisch,Maartje J Hooning,Reiner Hoppe,John L Hopper,Sacha Howell,Anthony Howell,ABCTB Investigators,kConFab Investigators,Simona Jakovchevska,Anna Jakubowska,Helena Jernstrom,Nichola Johnson,Rudolf Kaaks,Elza K Khusnutdinova,Cari M Kitahara,Stella Koutros,Vessela N Kristensen,James V Lacey,Diether Lambrechts,Flavio Lejbkowicz,Annika Lindblom,Michael Lush,Arto Mannermaa,Dimitrios Mavroudis,Usha Menon,Rachel A Murphy,Heli Nevanlinna,Nadia Obi,Kenneth Offit,Tjoung-Won Park-Simon,Alpa V Patel,Cheng Peng,Paolo Peterlongo,Guillermo Pita,Dijana Plaseska-Karanfilska,Katri Pylkas,Paolo Radice,Muhammad U Rashid,Gad Rennert,Eleanor Roberts,Juan Rodriguez,Atocha Romero,Efraim H Rosenberg,Emmanouil Saloustros,Dale P Sandler,Elinor J Sawyer,Rita K Schmutzler,Christopher G Scott,Xiao-Ou Shu,Melissa C Southey,Jennifer Stone,Jack A Taylor,Lauren R Teras,Irma van de Beek,Walter Willett,Robert Winqvist,Wei Zheng,Celine M Vachon,Marjanka K Schmidt,Per Hall,Robert J MacInnis,Roger L Milne,Paul DP Pharoah,Jacques Simard,Antonis C Antoniou,Douglas F Easton,Kyriaki Michailidou

Journal

medRxiv

Published Date

2024

The 313-variant polygenic risk score (PRS313) provides a promising tool for breast cancer risk prediction. However, evaluation of the PRS313 across different European populations which could influence risk estimation has not been performed. Here, we explored the distribution of PRS313 across European populations using genotype data from 94,072 females without breast cancer, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 225,105 female participants from the UK Biobank. The mean PRS313 differed markedly across European countries, being highest in south-eastern Europe and lowest in north-western Europe. Using the overall European PRS313 distribution to categorise individuals leads to overestimation and underestimation of risk in some individuals from south-eastern and north-western countries, respectively. Adjustment for principal components explained most of the observed heterogeneity in mean PRS. Country-specific PRS distributions may be used to calibrate risk categories in individuals from different countries.

Expression of transglutaminase-2 (TGM2) in the prognosis of female invasive breast cancer

Authors

Fiona M Blows,H Raza Ali,Wei Cope,Paul DP Pharoah,Claire VS Pike,Elena Provenzano,Peter Coussons

Journal

BJC Reports

Published Date

2024/1/24

BackgroundTransglutaminase 2 (TGM2) is a protein expressed in several isoforms in both intra- and extra-cellular tissue compartments. It has multiple functions that are important in cancer biology and several small studies have suggested expression of TGM2 in breast cancers is associated with a poorer prognosis. The aim of this study was to evaluate the role of intra-cellular and extra-cellular TGM2 expression in breast cancer and to determine whether there were any differences by hormone receptor status.MethodsWe carried out TGM2 immunostaining of tissue micro-arrays comprising 2169 tumour cores and scored these for both intra- and extra-cellular and expression.ResultsIntra-cellular (tumour cell) TGM2 positivity was associated with a better prognosis (HR = 0.74, 95% CI 0.59–0.92) with a larger effect stronger in hormone-receptor-negative cases (HR = 0.56, 95% CI 0.37–0.85). Extra-cellular (stromal …

Abstract A004: Patterns of lncRNA-regulated gene expression in high-grade serous ovarian carcinomas

Authors

Brett M Reid,Ann Chen,Zhihua Chen,Florian A Karreth,Peter Kanetsky,Jennifer B Permuth,Ozlen Saglam,Jamie K Teer,Xiaoqing Yu,Simon Gayther,Ellen Goode,Paul Pharoah,Thomas A Sellers,Kate Lawrenson,Jonathan Tyrer

Journal

Cancer Research

Published Date

2024/3/4

Introduction: Identifying dysregulated gene expression in ovarian cancers has been limited by a deficit of available normal tissues. Here, we generated the largest set of high-grade serous ovarian cancer (HGSOC) tumors with normal precursor tissues for transcriptome analyses to identify lncRNA expression patterns, provide insight into their cellular contexts and functions, and assess their relevance to HGSOC pathogenesis and genetic susceptibility. Methods: We performed RNA sequencing on 220 primary HGSOCs and 116 benign epithelia (micro-dissected fallopian tube, ovarian surface, and inclusion cyst epithelia), and combined samples with 428 HGSOCs from TCGA, 60 HGSOCs from a prior study, and 180 bulk ovary tissues from GTEx. Reads were processed with a uniform bioinformatic and quality control pipeline, combined and batch corrected. Normalized TPM expression values were compared using …

Risks of second primary cancers among 584,965 female and male breast cancer survivors in England: a 25-year retrospective cohort study

Authors

Isaac Allen,Hend Hassan,Walburga Yvonne Joko-Fru,Catherine Huntley,Lucy Loong,Tameera Rahman,Bethany Torr,Andrew Bacon,Craig Knott,Sophie Jose,Sally Vernon,Margreet Lüchtenborg,Joanna Pethick,Katrina Lavelle,Fiona McRonald,Diana Eccles,Eva JA Morris,Steven Hardy,Clare Turnbull,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Journal

The Lancet Regional Health–Europe

Published Date

2024/3/27

BackgroundSecond primary cancers (SPCs) after breast cancer (BC) present an increasing public health burden, with little existing research on socio-demographic, tumour, and treatment effects. We addressed this in the largest BC survivor cohort to date, using a novel linkage of National Disease Registration Service datasets.MethodsThe cohort included 581,403 female and 3562 male BC survivors diagnosed between 1995 and 2019. We estimated standardized incidence ratios (SIRs) for combined and site-specific SPCs using incidences for England, overall and by age at BC and socioeconomic status. We estimated incidences and Kaplan–Meier cumulative risks stratified by age at BC, and assessed risk variation by socio-demographic, tumour, and treatment characteristics using Cox regression.FindingsBoth genders were at elevated contralateral breast (SIR: 2.02 (95% CI: 1.99–2.06) females; 55.4 (35.5–82.4 …

Novel breast cancer susceptibility loci under linkage peaks identified in African ancestry consortia

Authors

Heather M Ochs-Balcom,Leah Preus,Zhaohui Du,Robert C Elston,Craig C Teerlink,Guochong Jia,Xingyi Guo,Qiuyin Cai,Jirong Long,Jie Ping,Bingshan Li,Daniel O Stram,Xiao-Ou Shu,Maureen Sanderson,Guimin Gao,Thomas Ahearn,Kathryn L Lunetta,Gary Zirpoli,Melissa A Troester,Edward A Ruiz-Narváez,Stephen A Haddad,Jonine Figueroa,Esther M John,Leslie Bernstein,Jennifer J Hu,Regina G Ziegler,Sarah Nyante,Elisa V Bandera,Sue A Ingles,Nicholas Mancuso,Michael F Press,Sandra L Deming,Jorge L Rodriguez-Gil,Song Yao,Temidayo O Ogundiran,Oladosu Ojengbede,Manjeet K Bolla,Joe Dennis,Alison M Dunning,Douglas F Easton,Kyriaki Michailidou,Paul DP Pharoah,Dale P Sandler,Jack A Taylor,Qin Wang,Katie M O’Brien,Clarice R Weinberg,Cari M Kitahara,William Blot,Katherine L Nathanson,Anselm Hennis,Barbara Nemesure,Stefan Ambs,Lara E Sucheston-Campbell,Jeannette T Bensen,Stephen J Chanock,Andrew F Olshan,Christine B Ambrosone,Olufunmilayo I Olopade,Ghana Breast Health Study Team,David V Conti,Julie Palmer,Montserrat García-Closas,Dezheng Huo,Wei Zheng,Christopher Haiman

Journal

Human molecular genetics

Published Date

2024/1/23

Background Expansion of genome-wide association studies across population groups is needed to improve our understanding of shared and unique genetic contributions to breast cancer. We performed association and replication studies guided by a priori linkage findings from African ancestry (AA) relative pairs. Methods We performed fixed-effect inverse-variance weighted meta-analysis under three significant AA breast cancer linkage peaks (3q26-27, 12q22-23, and 16q21-22) in 9241 AA cases and 10 193 AA controls. We examined associations with overall breast cancer as well as estrogen receptor (ER)-positive and negative subtypes (193,132 SNPs). We replicated associations in the African-ancestry Breast Cancer Genetic Consortium (AABCG). Results In AA women, we identified two associations on chr12q for overall breast cancer (rs1420647 …

Abstract B047: Development and validation of an improved risk stratification model for ovarian cancer

Authors

Minh Tung Phung,Alice W Lee,Karen McLean,Lilah Khoja,Hoda Anton-Culver,Elisa V Bandera,Jennifer Anne Doherty,Renee T Fortner,Marc T Goodman,Francesmary Modugno,Paul DP Pharoah,Kathryn L Terry,Penelope M Webb,Anna H Wu,Andrew Berchuck,Gillian E Hanley,Bhramar Mukherjee,Malcolm C Pike,Celeste Leigh Pearce,Britton Trabert

Journal

Cancer Research

Published Date

2024/3/4

Based on previous models, among individuals who are not known to carry a pathogenic variant, lifetime risk of ovarian cancer ranges between ~0.1% and ~11%. Risk stratification to identify the people at the higher end of this lifetime risk range is of paramount importance for prevention efforts. Previous risk stratification models for ovarian cancer were based on a limited number of risk/protective factors. Further, we have also shown that risk estimates differ by menopausal status which most models have not considered. We aimed to develop and internally validate a risk stratification model for ovarian cancer that considers 15 unequivocal risk/protective factors and properly accounts for effect modification by menopausal status. We used data from nine studies (7,984 cases, 12,260 controls) participating in the Ovarian Cancer Association Consortium (OCAC). The data were split into a training set and a test set that …

Second primary cancer risks following breast cancer in BRCA1/2 pathogenic variant carriers

Authors

Isaac Allen,Hend Hassan,Yvonne Walburga,Catherine Huntley,Lucy Loong,Tameera Rahman,Beth Torr,Andrew Bacon,Craig Knott,Sophie Jose,Sally Vernon,Margreet Lüchtenborg,Joanna Pethick,Francesco Santaniello,Shilpi Goel,Sophie Allen,Katrina Lavelle,Fiona McRonald,Diana M Eccles,Eva Morris,Steven Hardy,Clare Turnbull,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Journal

Cancer Research

Published Date

2024/3/22

Background: Second primary cancer (SPC) risk estimates in breast cancer (BC) survivors carrying germline BRCA1/2 pathogenic variants (PVs) remain uncertain. We estimated relative and absolute SPC risks following BC in BRCA1/2 PV carriers using genetic testing laboratory data in England, linked for the first time to population-scale electronic health records data from the National Disease Registration Service and Hospital Episode Statistics. Material and methods: The cohort contained 27,154 women diagnosed with primary BC and tested for germline BRCA1/2 PVs between 1995-2019. Follow-up began at the latest of the genetic test dates and one year following the BC diagnosis and continued until the first SPC diagnosis, death, migration, relevant surgery, and the end of 2020, whichever came first. We estimated overall and site-specific standardized incidence ratios (SIRs) by comparing observed and …

An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy

Authors

Isabelle Grootes,Gordon C Wishart,Paul David Peter Pharoah

Journal

NPJ Breast Cancer

Published Date

2024/1/15

PREDICT Breast (www.breast .predict.nhs.uk) is a prognostication tool for early invasive breast cancer. The current version was based on cases diagnosed in 1999–2003 and did not incorporate the benefits of radiotherapy or the harms associated with therapy. Since then, there has been a substantial improvement in the outcomes for breast cancer cases. The aim of this study was to update PREDICT Breast to ensure that the underlying model is appropriate for contemporary patients. Data from the England National Cancer Registration and Advisory Service for invasive breast cancer cases diagnosed 2000–17 were used for model development and validation. Model development was based on 35,474 cases diagnosed and registered by the Eastern Cancer Registry. A Cox model was used to estimate the prognostic effects of the year of diagnosis, age at diagnosis, tumour size, tumour grade and number of positive …

Risk Factors for Ovarian Cancer by BRCA Status: A Collaborative Case-Only Analysis

Authors

Kate Gersekowski,Renhua Na,Kathryn Alsop,Rachel Delahunty,Ellen L Goode,Julie M Cunningham,Stacey J Winham,Paul DP Pharoah,Honglin Song,Penelope M Webb

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2024/2/21

Background Women with an inherited pathogenic variant in BRCA1 or BRCA2 have a greatly increased risk of developing ovarian cancer, but the importance of behavioral factors is less clear. We used a case-only design to compare the magnitude of associations with established reproductive, hormonal, and lifestyle risk factors between BRCA mutation carriers and noncarriers. Methods We pooled data from five studies from the Ovarian Cancer Association Consortium including 637 BRCA carriers and 4,289 noncarriers. Covariate-adjusted generalized linear mixed models were used to estimate interaction risk ratios (IRR) and 95% confidence intervals (CI), with BRCA (carrier vs. noncarrier) as the response variable. Results IRRs were above 1.0 for known protective factors including ever being pregnant (IRR = 1.29, 95% CI; 1.00–1.67) and ever using the …

Estimation of age of onset and progression of breast cancer by absolute risk dependent on polygenic risk score and other risk factors

Authors

Rikesh Bhatt,Ardo van den Hout,Antonis C Antoniou,Mitul Shah,Lorenzo Ficorella,Emily Steggall,Douglas F Easton,Paul DP Pharoah,Nora Pashayan

Journal

Cancer

Published Date

2024/1/4

The age at which individuals with breast cancer enter a screen‐detectable state, as opposed to the length of time spent in that state, varied by absolute risk group.

GRAIL-Galleri: why the special treatment?

Authors

Clare Turnbull,Nicholas Wald,Richard Sullivan,Paul Pharoah,Richard S Houlston,Ajay Aggarwal,Stuart Hogarth,Margaret McCartney

Journal

The Lancet

Published Date

2024/2/3

(Galleri-MCED test), which claims to identify more than 50 different cancers and their location with the use of a blood test that captures circulating tumour DNA linked to aberrant methylation.A screening test for cancer must have high sensitivity for early-stage disease, for which intervention is more likely to lead to cure than for late-stage cancers. In its current incarnation, the Galleri-MCED test has shown overall sensitivity of only 27· 5% for early-stage cancer (stage 1–2).

Genome-wide association analyses of ovarian cancer patients undergoing primary debulking surgery identify candidate genes for residual disease

Authors

Dhanya Ramachandran,Jonathan P Tyrer,Stefan Kommoss,Anna DeFazio,Marjorie J Riggan,AOCS Group Bowtell David 9 Fereday Sian 9 Traficante Nadia 9 Hung Jillian 10,Penelope M Webb,Peter A Fasching,Diether Lambrechts,María J García,Cristina Rodríguez-Antona,Marc T Goodman,Francesmary Modugno,Kirsten B Moysich,Beth Y Karlan,Jenny Lester,Susanne K Kjaer,Allan Jensen,Estrid Høgdall,Ellen L Goode,William A Cliby,Amanika Kumar,Chen Wang,Julie M Cunningham,Stacey J Winham,Alvaro N Monteiro,Joellen M Schildkraut,Daniel W Cramer,Kathryn L Terry,Linda Titus,Line Bjorge,Liv Cecilie Vestrheim Thomsen,OPAL Study Group Friedlander Michael 38 Obermair Andreas 11 Grant Peter 9 Beesley Vanessa 11 Blomfield Penelope 11 Brand Alison 6 Davis Alison 11 Leung Yee 11 Nicklin James 11 Quinn Michael 11 Livingstone Karen 11 O’Neill Helen 11 Williams Merran 11,Tanja Pejovic,Claus K Høgdall,Iain A McNeish,Taymaa May,David G Huntsman,Jacobus Pfisterer,Ulrich Canzler,Tjoung-Won Park-Simon,Willibald Schröder,Antje Belau,Lars Hanker,Philipp Harter,Jalid Sehouli,Rainer Kimmig,Nikolaus de Gregorio,Barbara Schmalfeldt,Klaus Baumann,Felix Hilpert,Alexander Burges,Boris Winterhoff,Peter Schürmann,Lisa-Marie Speith,Peter Hillemanns,Andrew Berchuck,Sharon E Johnatty,Susan J Ramus,Georgia Chenevix-Trench,Paul DP Pharoah,Thilo Dörk,Florian Heitz

Journal

NPJ genomic medicine

Published Date

2024/3/5

Survival from ovarian cancer depends on the resection status after primary surgery. We performed genome-wide association analyses for resection status of 7705 ovarian cancer patients, including 4954 with high-grade serous carcinoma (HGSOC), to identify variants associated with residual disease. The most significant association with resection status was observed for rs72845444, upstream of MGMT, in HGSOC (p = 3.9 × 10−8). In gene-based analyses, PPP2R5C was the most strongly associated gene in HGSOC after stage adjustment. In an independent set of 378 ovarian tumours from the AGO-OVAR 11 study, variants near MGMT and PPP2R5C correlated with methylation and transcript levels, and PPP2R5C mRNA levels predicted progression-free survival in patients with residual disease. MGMT encodes a DNA repair enzyme, and PPP2R5C encodes the B56γ subunit of the PP2A tumour suppressor …

Discussing Validation of the PREDICT Prognostication Tool in Patients With Breast Cancer

Authors

Paul DP Pharoah

Journal

Journal of the National Comprehensive Cancer Network

Published Date

2023/10/1

It is a clinical truism that decisions about disease management (treatment) in individuals should be based on absolute rather than relative benefits and harms. A key decision for patients with early breast cancer, made in discussion with their clinicians, is whether to undergo a course of neoadjuvant or adjuvant systemic chemotherapy. Meta-analyses of data from multiple randomized controlled trials by the Early Breast Cancer Trialists’ Collaborative Group have provided robust estimates of the relative risk reduction associated with the major systemic chemotherapy regimen and have shown that the efficacies of neoadjuvant and adjuvant chemotherapy are similar. 1 These studies have also shown that the relative risk reduction is similar over all the major clinical features known to be associated with prognosis. Consequently, the absolute benefit of adjuvant chemotherapy will vary substantially according to prior risk …

Concurrent RB1 loss and BRCA-deficiency predicts enhanced immunological response and long-term survival in tubo-ovarian high-grade serous carcinoma

Authors

Flurina AM Saner,Kazuaki Takahashi,Timothy Budden,Ahwan Pandey,Dinuka Ariyaratne,Tibor A Zwimpfer,Nicola S Meagher,Sian Fereday,Laura Twomey,Kathleen I Pishas,Therese Hoang,Adelyn Bolithon,Nadia Traficante,Kathryn Alsop,Elizabeth L Christie,Eun-Young Kang,Gregg S Nelson,Prafull Ghatage,Cheng-Han Lee,Marjorie J Riggan,Jennifer Alsop,Matthias W Beckmann,Jessica Boros,Alison H Brand,Angela Brooks-Wilson,Michael E Carney,Penny Coulson,Madeleine Courtney-Brooks,Kara L Cushing-Haugen,Cezary Cybulski,Mona A El-Bahrawy,Esther Elishaev,Ramona Erber,Simon A Gayther,Aleksandra Gentry-Maharaj,C Blake Gilks,Paul R Harnett,Holly R Harris,Arndt Hartmann,Alexander Hein,Joy Hendley,Brenda Y Hernandez,Anna Jakubowska,Mercedes Jimenez-Linan,Michael E Jones,Scott H Kaufmann,Catherine J Kennedy,Tomasz Kluz,Jennifer M Koziak,Björg Kristjansdottir,Nhu D Le,Marcin Lener,Jenny Lester,Jan Lubiński,Constantina Mateoiu,Sandra Orsulic,Matthias Ruebner,Minouk J Schoemaker,Mitul Shah,Raghwa Sharma,Mark E Sherman,Yurii B Shvetsov,Naveena Singh,T Rinda Soong,Helen Steed,Paniti Sukumvanich,Aline Talhouk,Sarah E Taylor,Robert A Vierkant,Chen Wang,Martin Widschwendter,Lynne R Wilkens,Stacey J Winham,Michael S Anglesio,Andrew Berchuck,James D Brenton,Ian Campbell,Linda S Cook,Jennifer A Doherty,Peter A Fasching,Renee T Fortner,Marc T Goodman,Jacek Gronwald,David G Huntsman,Beth Y Karlan,Linda E Kelemen,Usha Menon,Francesmary Modugno,Paul DP Pharoah,Joellen M Schildkraut,Karin Sundfeldt,Anthony J Swerdlow,Ellen L Goode,Anna DeFazio,Martin Köbel,Susan J Ramus,David DL Bowtell,Dale W Garsed,AOCS Group

Journal

medRxiv

Published Date

2023/11/10

Background:Somatic loss of the tumour suppressor RB1 is a common event in tubo-ovarian high-grade serous carcinoma (HGSC), which frequently co-occurs with alterations in homologous recombination DNA repair genes including BRCA1 and BRCA2 (BRCA). We examined whether tumour expression of RB1 was associated with survival across ovarian cancer histotypes (HGSC, endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous carcinoma (LGSC)), and how co-occurrence of germline BRCA pathogenic variants and RB1 loss influences long-term survival in a large series of HGSC.Patients and methods:RB1 protein expression patterns were classified by immunohistochemistry in epithelial ovarian carcinomas of 7436 patients from 20 studies participating in the Ovarian Tumor Tissue Analysis consortium and assessed for associations with overall survival (OS), accounting for patient …

Probing the diabetes and colorectal cancer relationship using gene–environment interaction analyses

Authors

Niki Dimou,Andre E Kim,Orlagh Flanagan,Neil Murphy,Virginia Diez-Obrero,Anna Shcherbina,Elom K Aglago,Emmanouil Bouras,Peter T Campbell,Graham Casey,Steven Gallinger,Stephen B Gruber,Mark A Jenkins,Yi Lin,Victor Moreno,Edward Ruiz-Narvaez,Mariana C Stern,Yu Tian,Kostas K Tsilidis,Volker Arndt,Elizabeth L Barry,James W Baurley,Sonja I Berndt,Stéphane Bézieau,Stephanie A Bien,D Timothy Bishop,Hermann Brenner,Arif Budiarto,Robert Carreras-Torres,Tjeng Wawan Cenggoro,Andrew T Chan,Jenny Chang-Claude,Stephen J Chanock,Xuechen Chen,David V Conti,Christopher H Dampier,Matthew Devall,David A Drew,Jane C Figueiredo,Graham G Giles,Andrea Gsur,Tabitha A Harrison,Akihisa Hidaka,Michael Hoffmeister,Jeroen R Huyghe,Kristina Jordahl,Eric Kawaguchi,Temitope O Keku,Susanna C Larsson,Loic Le Marchand,Juan Pablo Lewinger,Li Li,Bharuno Mahesworo,John Morrison,Polly A Newcomb,Christina C Newton,Mireia Obon-Santacana,Jennifer Ose,Rish K Pai,Julie R Palmer,Nikos Papadimitriou,Bens Pardamean,Anita R Peoples,Paul DP Pharoah,Elizabeth A Platz,John D Potter,Gad Rennert,Peter C Scacheri,Robert E Schoen,Yu-Ru Su,Catherine M Tangen,Stephen N Thibodeau,Duncan C Thomas,Cornelia M Ulrich,Caroline Y Um,Franzel JB Van Duijnhoven,Kala Visvanathan,Pavel Vodicka,Ludmila Vodickova,Emily White,Alicja Wolk,Michael O Woods,Conghui Qu,Anshul Kundaje,Li Hsu,W James Gauderman,Marc J Gunter,Ulrike Peters

Journal

British journal of cancer

Published Date

2023/8/24

BackgroundDiabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis.MethodsWe used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test).ResultsBased on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 – ORAA: 1.62 …

Association of Frequent Aspirin Use with Ovarian Cancer Risk According to Genetic Susceptibility

Authors

Lauren M Hurwitz,Penelope M Webb,Susan J Jordan,Jennifer A Doherty,Holly R Harris,Marc T Goodman,Yurii B Shvetsov,Francesmary Modugno,Kirsten B Moysich,Joellen M Schildkraut,Andrew Berchuck,Hoda Anton-Culver,Argyrios Ziogas,Usha Menon,Susan J Ramus,Anna H Wu,Celeste Leigh Pearce,Nicolas Wentzensen,Shelley S Tworoger,Paul DP Pharoah,Britton Trabert

Journal

JAMA Network Open

Published Date

2023/2/1

ImportanceFrequent aspirin use is associated with reduced ovarian cancer risk, but it is unknown whether genetic factors modify this association. Understanding effect modifiers is important given that any use of aspirin for ovarian cancer chemoprevention will likely need to focus on specific higher-risk subgroups.ObjectiveTo evaluate whether the association between frequent aspirin use and ovarian cancer is modified by a polygenic score (PGS) for nonmucinous ovarian cancer.Design, Setting, and ParticipantsWe pooled individual-level data from 8 population-based case-control studies from the Ovarian Cancer Association Consortium conducted in the US, UK, and Australia between 1995 and 2009. We included case patients and control participants with both genetic data and data on frequent aspirin use. Case patients with mucinous ovarian cancer were excluded. Data were analyzed between November 1 …

Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2

Authors

Denise G O’Mahony,Susan J Ramus,Melissa C Southey,Nicola S Meagher,Andreas Hadjisavvas,Esther M John,Ute Hamann,Evgeny N Imyanitov,Irene L Andrulis,Priyanka Sharma,Mary B Daly,Christopher R Hake,Jeffrey N Weitzel,Anna Jakubowska,Andrew K Godwin,Adalgeir Arason,Anita Bane,Jacques Simard,Penny Soucy,Maria A Caligo,Phuong L Mai,Kathleen BM Claes,Manuel R Teixeira,Wendy K Chung,Conxi Lazaro,Peter J Hulick,Amanda E Toland,Inge Sokilde Pedersen,HEBON Investigators Mourits Marian JE 103 104,Susan L Neuhausen,Ana Vega,Miguel de la Hoya,Heli Nevanlinna,Mallika Dhawan,Valentina Zampiga,Rita Danesi,Liliana Varesco,Viviana Gismondi,Valerio Gaetano Vellone,Paul A James,Ramunas Janavicius,Liene Nikitina-Zake,Finn Cilius Nielsen,Thomas van Overeem Hansen,Tanja Pejovic,Ake Borg,Johanna Rantala,Kenneth Offit,Marco Montagna,Katherine L Nathanson,Susan M Domchek,Ana Osorio,María J García,Beth Y Karlan,GEMO Study Collaborators Lesueur Fabienne 105 106 107,Anna De Fazio,David Bowtell,AOCS Group De Fazio Anna 8 70 71 72,Lesley McGuffog,Goska Leslie,Michael T Parsons,Thilo Dörk,Lisa-Marie Speith,Elizabeth Santana dos Santos,Alexandre André BA da Costa,Paolo Radice,Paolo Peterlongo,Laura Papi,Christoph Engel,Eric Hahnen,Rita K Schmutzler,Barbara Wappenschmidt,Douglas F Easton,Marc Tischkowitz,Christian F Singer,Yen Yen Tan,Alice S Whittemore,Weiva Sieh,James D Brenton,Drakoulis Yannoukakos,Florentia Fostira,Irene Konstantopoulou,Jana Soukupova,Michal Vocka,CZECANCA Consortium,Georgia Chenevix-Trench,Paul DP Pharoah,Antonis C Antoniou,David E Goldgar,Amanda B Spurdle,Kyriaki Michailidou,Consortium of Investigators of Modifiers of BRCA1/2 de la Hoya Miguel 43 van Overeem Hansen Thomas 55 56 dos Santos Elizabeth Santana 78 79 80,Evidence-based Network for the Interpretation of Germline Mutant Alleles Consortium

Journal

British journal of cancer

Published Date

2023/6/29

BackgroundThe distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system.MethodsData for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong).ResultsNo histological …

Patterns of dysregulated coding and noncoding gene expression in high-grade serous ovarian carcinomas

Authors

Brett M Reid,Ann Chen,Zhihua Chen,Florian A Karreth,Peter Kanetsky,Jennifer B Permuth,Ozlen Saglam,Jamie Teer,Xiaoqing Yu,Simon Gayther,Ellen Goode,Paul Pharoah,Thomas A Sellers,Kate Lawrenson

Journal

Cancer Research

Published Date

2023/4/4

Purpose: Identifying dysregulated gene expression in ovarian cancers has been limited by a deficit of available normal tissues. Here, we generated the largest set of high-grade serous ovarian cancer (HGSOC) tumors with normal precursor tissues for transcriptome analyses. Methods: We performed RNA sequencing on 220 primary HGSOCs and 116 benign epithelia (micro-dissected fallopian tube, ovarian surface, and inclusion cysts), and combined samples with 428 HGSOCs from TCGA, 60 HGSOCs from a prior study, and 180 bulk ovary tissues from GTEx. Raw reads were processed with a uniform bioinformatic and quality control pipeline; combined data were batch corrected. We tested for differences in median normalized CPM expression values using the Wilcoxon rank sum test with >2-fold change and a false discovery rate <1% considered statistically significant. We also conducted weighted gene co …

The impact of coding germline variants on contralateral breast cancer risk and survival

Authors

Anna Morra,Nasim Mavaddat,Taru A Muranen,Thomas U Ahearn,Jamie Allen,Irene L Andrulis,Päivi Auvinen,Heiko Becher,Sabine Behrens,Carl Blomqvist,Stig E Bojesen,Manjeet K Bolla,Hiltrud Brauch,Nicola J Camp,Sara Carvalho,Jose E Castelao,Melissa H Cessna,Jenny Chang-Claude,Georgia Chenevix-Trench,Kristine K Sahlberg,Anne-Lise Børresen-Dale,Inger Torhild Gram,Karina Standahl Olsen,Olav Engebråten,Bjørn Naume,Jürgen Geisler,Grethe I Grenaker Alnæs,Kamila Czene,Brennan Decker,Joe Dennis,Thilo Dörk,Leila Dorling,Alison M Dunning,Arif B Ekici,Mikael Eriksson,D Gareth Evans,Peter A Fasching,Jonine D Figueroa,Henrik Flyger,Manuela Gago-Dominguez,Montserrat García-Closas,Willemina RR Geurts-Giele,Graham G Giles,Pascal Guénel,Melanie Gündert,Eric Hahnen,Per Hall,Ute Hamann,Patricia A Harrington,Wei He,Päivi Heikkilä,Maartje J Hooning,Reiner Hoppe,Anthony Howell,Keith Humphreys,David Amor,Lesley Andrews,Yoland Antill,Rosemary Balleine,Jonathan Beesley,Ian Bennett,Michael Bogwitz,Leon Botes,Meagan Brennan,Melissa Brown,Michael Buckley,Jo Burke,Phyllis Butow,Liz Caldon,Ian Campbell,Michelle Cao,Anannya Chakrabarti,Deepa Chauhan,Manisha Chauhan,Alice Christian,Paul Cohen,Alison Colley,Ashley Crook,James Cui,Eliza Courtney,Margaret Cummings,Sarah-Jane Dawson,Anna DeFazio,Martin Delatycki,Rebecca Dickson,Joanne Dixon,Ted Edkins,Stacey Edwards,Gelareh Farshid,Andrew Fellows,Georgina Fenton,Michael Field,James Flanagan,Peter Fong,Laura Forrest,Stephen Fox,Juliet French,Michael Friedlander,Clara Gaff,Mike Gattas,Peter George,Sian Greening,Marion Harris,Stewart Hart,Nick Hayward,John Hopper,Cass Hoskins,Clare Hunt,Paul James,Mark Jenkins,Alexa Kidd,Judy Kirk,Jessica Koehler,James Kollias,Sunil Lakhani,Mitchell Lawrence,Jason Lee,Shuai Li,Geoff Lindeman,Lara Lipton,Liz Lobb,Sherene Loi,Graham Mann,Deborah Marsh,Sue Anne McLachlan,Bettina Meiser,Roger Milne,Sophie Nightingale,Shona O'Connell,Sarah O'Sullivan,David Gallego Ortega,Nick Pachter,Jia-Min Pang,Gargi Pathak,Briony Patterson,Amy Pearn,Kelly Phillips,Ellen Pieper,Susan Ramus,Edwina Rickard,Bridget Robinson,Mona Saleh,Anita Skandarajah,Elizabeth Salisbury,Christobel Saunders,Jodi Saunus,Rodney Scott,Clare Scott,Adrienne Sexton,Andrew Shelling

Journal

The American Journal of Human Genetics

Published Date

2023/3/2

Evidence linking coding germline variants in breast cancer (BC)-susceptibility genes other than BRCA1, BRCA2, and CHEK2 with contralateral breast cancer (CBC) risk and breast cancer-specific survival (BCSS) is scarce. The aim of this study was to assess the association of protein-truncating variants (PTVs) and rare missense variants (MSVs) in nine known (ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, RAD51D, and TP53) and 25 suspected BC-susceptibility genes with CBC risk and BCSS. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated with Cox regression models. Analyses included 34,401 women of European ancestry diagnosed with BC, including 676 CBCs and 3,449 BC deaths; the median follow-up was 10.9 years. Subtype analyses were based on estrogen receptor (ER) status of the first BC. Combined PTVs and pathogenic/likely pathogenic MSVs in BRCA1 …

PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants

Authors

Taru A Muranen,Anna Morra,Sofia Khan,Daniel R Barnes,Manjeet K Bolla,Joe Dennis,Renske Keeman,Goska Leslie,Michael T Parsons,Qin Wang,Thomas U Ahearn,Kristiina Aittomäki,Irene L Andrulis,Banu K Arun,Sabine Behrens,Katarzyna Bialkowska,Stig E Bojesen,Nicola J Camp,Jenny Chang-Claude,Kamila Czene,Peter Devilee,HEBON investigators,Susan M Domchek,Alison M Dunning,Christoph Engel,D Gareth Evans,Manuela Gago-Dominguez,Montserrat García-Closas,Anne-Marie Gerdes,Gord Glendon,Pascal Guénel,Eric Hahnen,Ute Hamann,Helen Hanson,Maartje J Hooning,Reiner Hoppe,Louise Izatt,Anna Jakubowska,Paul A James,Vessela N Kristensen,Fiona Lalloo,Geoffrey J Lindeman,Arto Mannermaa,Sara Margolin,Susan L Neuhausen,William G Newman,Paolo Peterlongo,Kelly-Anne Phillips,Miquel Angel Pujana,Johanna Rantala,Karina Rønlund,Emmanouil Saloustros,Rita K Schmutzler,Andreas Schneeweiss,Christian F Singer,Maija Suvanto,Yen Yen Tan,Manuel R Teixeira,Mads Thomassen,Marc Tischkowitz,Vishakha Tripathi,Barbara Wappenschmidt,Emily Zhao,Douglas F Easton,Antonis C Antoniou,Georgia Chenevix-Trench,Paul DP Pharoah,Marjanka K Schmidt,Carl Blomqvist,Heli Nevanlinna

Journal

NPJ Breast Cancer

Published Date

2023/5/12

We assessed the PREDICT v 2.2 for prognosis of breast cancer patients with pathogenic germline BRCA1 and BRCA2 variants, using follow-up data from 5453 BRCA1/2 carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC). PREDICT for estrogen receptor (ER)-negative breast cancer had modest discrimination for BRCA1 carrier patients overall (Gönen & Heller unbiased concordance 0.65 in CIMBA, 0.64 in BCAC), but it distinguished clearly the high-mortality group from lower risk categories. In an analysis of low to high risk categories by PREDICT score percentiles, the observed mortality was consistently lower than the expected mortality, but the confidence intervals always included the calibration slope. Altogether, our results encourage the use of the PREDICT ER-negative model in management of breast cancer patients with …

Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk (vol 55, pg 1435, 2023)

Authors

Naomi Wilcox,Martine Dumont,Anna Gonzalez-Neira,Sara Carvalho,Charles Joly Beauparlant,Marco Crotti,Craig Luccarini,Penny Soucy,Stephane Dubois,Rocio Nunez-Torres,Guillermo Pita,Eugene J Gardner,Joe Dennis,M Rosario Alonso,Nuria Alvarez,Caroline Baynes,Annie Claude Collin-Deschesnes,Sylvie Desjardins,Heiko Becher,Sabine Behrens,Manjeet K Bolla,Jose E Castelao,Jenny Chang-Claude,Sten Cornelissen,Thilo Dork,Christoph Engel,Manuela Gago-Dominguez,Pascal Guenel,Andreas Hadjisavvas,Eric Hahnen,Mikael Hartman,Belen Herraez,Audrey Jung,Renske Keeman,Marion Kiechle,Jingmei Li,Maria A Loizidou,Michael Lush,Kyriaki Michailidou,Mihalis I Panayiotidis,Xueling Sim,Soo Hwang Teo,Jonathan P Tyrer,Lizet E van der Kolk,Cecilia Wahlstrom,Qin Wang,John RB Perry,Javier Benitez,Marjanka K Schmidt,Rita K Schmutzler,Paul DP Pharoah,Arnaud Droit,Alison M Dunning,Anders Kvist,Peter Devilee,Douglas F Easton,Jacques Simard

Published Date

2023/11/1

Correction to: Nature Genetics, published online 17 August 2023. In the version of the article initially published, in the sentence in the Abstract now reading “Associations were also observed for LZTR1, ATRIP and BARD1 with P < 1 × 10−4”, “ATRIP” appeared incorrectly as “ATR”. This has now been corrected in the PDF and HTML versions of the article.

Polymorphisms in genes of melatonin biosynthesis and signaling support the light-at-night hypothesis for breast cancer

Authors

Katharina Wichert,Reiner Hoppe,Katja Ickstadt,Thomas Behrens,Stefan Winter,Robert Herold,Claudia Terschüren,Wing-Yee Lo,Pascal Guénel,Thérèse Truong,Manjeet K Bolla,Qin Wang,Joe Dennis,Kyriaki Michailidou,Michael Lush,Irene L Andrulis,Hermann Brenner,Jenny Chang-Claude,Angela Cox,Simon S Cross,Kamila Czene,Mikael Eriksson,Jonine D Figueroa,Montserrat García-Closas,Mark S Goldberg,Ute Hamann,Wei He,Bernd Holleczek,John L Hopper,Anna Jakubowska,Yon-Dschun Ko,Jan Lubiński,Anna Marie Mulligan,Nadia Obi,Valerie Rhenius,Mitul Shah,Xiao-Ou Shu,Jacques Simard,Melissa C Southey,Wei Zheng,Alison M Dunning,Paul DP Pharoah,Per Hall,Douglas F Easton,Thomas Brüning,Hiltrud Brauch,Volker Harth,Sylvia Rabstein

Journal

European journal of epidemiology

Published Date

2023/10

Light-at-night triggers the decline of pineal gland melatonin biosynthesis and secretion and is an IARC-classified probable breast-cancer risk factor. We applied a large-scale molecular epidemiology approach to shed light on the putative role of melatonin in breast cancer. We investigated associations between breast-cancer risk and polymorphisms at genes of melatonin biosynthesis/signaling using a study population of 44,405 women from the Breast Cancer Association Consortium (22,992 cases, 21,413 population-based controls). Genotype data of 97 candidate single nucleotide polymorphisms (SNPs) at 18 defined gene regions were investigated for breast-cancer risk effects. We calculated adjusted odds ratios (ORs) and 95% confidence intervals (CI) by logistic regression for the main-effect analysis as well as stratified analyses by estrogen- and progesterone-receptor (ER, PR) status. SNP-SNP interactions …

A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Authors

Pooja Middha,Xiaoliang Wang,Sabine Behrens,Manjeet K Bolla,Qin Wang,Joe Dennis,Kyriaki Michailidou,Thomas U Ahearn,Irene L Andrulis,Hoda Anton-Culver,Volker Arndt,Kristan J Aronson,Paul L Auer,Annelie Augustinsson,Thaïs Baert,Laura E Beane Freeman,Heiko Becher,Matthias W Beckmann,Javier Benitez,Stig E Bojesen,Hiltrud Brauch,Hermann Brenner,Angela Brooks-Wilson,Daniele Campa,Federico Canzian,Angel Carracedo,Jose E Castelao,Stephen J Chanock,Georgia Chenevix-Trench,CTS Consortium,Emilie Cordina-Duverger,Fergus J Couch,Angela Cox,Simon S Cross,Kamila Czene,Laure Dossus,Pierre-Antoine Dugué,A Heather Eliassen,Mikael Eriksson,D Gareth Evans,Peter A Fasching,Jonine D Figueroa,Olivia Fletcher,Henrik Flyger,Marike Gabrielson,Manuela Gago-Dominguez,Graham G Giles,Anna González-Neira,Felix Grassmann,Anne Grundy,Pascal Guénel,Christopher A Haiman,Niclas Håkansson,Per Hall,Ute Hamann,Susan E Hankinson,Elaine F Harkness,Bernd Holleczek,Reiner Hoppe,John L Hopper,Richard S Houlston,Anthony Howell,David J Hunter,Christian Ingvar,ABCTB Investigators,kConFab Investigators,Karolin Isaksson,Helena Jernström,Esther M John,Michael E Jones,Rudolf Kaaks,Renske Keeman,Cari M Kitahara,Yon-Dschun Ko,Stella Koutros,Allison W Kurian,James V Lacey,Diether Lambrechts,Nicole L Larson,Susanna Larsson,Loic Le Marchand,Flavio Lejbkowicz,Shuai Li,Martha Linet,Jolanta Lissowska,Maria Elena Martinez,Tabea Maurer,Anna Marie Mulligan,Claire Mulot,Rachel A Murphy,William G Newman,Sune F Nielsen,Børge G Nordestgaard,Aaron Norman,Katie M O’Brien,Janet E Olson,Alpa V Patel,Ross Prentice,Erika Rees-Punia,Gad Rennert,Valerie Rhenius,Kathryn J Ruddy,Dale P Sandler,Christopher G Scott,Mitul Shah,Xiao-Ou Shu,Ann Smeets,Melissa C Southey,Jennifer Stone,Rulla M Tamimi,Jack A Taylor,Lauren R Teras,Katarzyna Tomczyk,Melissa A Troester,Thérèse Truong,Celine M Vachon,Sophia S Wang,Clarice R Weinberg,Hans Wildiers,Walter Willett,Stacey J Winham,Alicja Wolk,Xiaohong R Yang,M Pilar Zamora,Wei Zheng,Argyrios Ziogas,Alison M Dunning,Paul DP Pharoah,Montserrat García-Closas,Marjanka K Schmidt,Peter Kraft,Roger L Milne,Sara Lindström,Douglas F Easton,Jenny Chang-Claude

Journal

Breast Cancer Research

Published Date

2023/8/9

BackgroundGenome-wide studies of gene–environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.MethodsAnalyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene–environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.ResultsAssuming a 1 × 10–5 prior probability of a true association …

Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Authors

Stefanie H Mueller,Alvina G Lai,Maria Valkovskaya,Kyriaki Michailidou,Manjeet K Bolla,Qin Wang,Joe Dennis,Michael Lush,Zomoruda Abu-Ful,Thomas U Ahearn,Irene L Andrulis,Hoda Anton-Culver,Natalia N Antonenkova,Volker Arndt,Kristan J Aronson,Annelie Augustinsson,Thais Baert,Laura E Beane Freeman,Matthias W Beckmann,Sabine Behrens,Javier Benitez,Marina Bermisheva,Carl Blomqvist,Natalia V Bogdanova,Stig E Bojesen,Bernardo Bonanni,Hermann Brenner,Sara Y Brucker,Saundra S Buys,Jose E Castelao,Tsun L Chan,Jenny Chang-Claude,Stephen J Chanock,Ji-Yeob Choi,Wendy K Chung,Grethe I Grenaker Alnaes,Deborah Marsh,Rodney Scott,Robert Baxter,Desmond Yip,Jane Carpenter,Alison Davis,Nirmala Pathmanathan,Peter Simpson,Dinny Graham,Mythily Sachchithananthan

Journal

Genome medicine

Published Date

2023/1/26

BackgroundLow-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes.MethodsWe evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry.ResultsIn European ancestry samples, 14 genes were significantly associated (q < 0.05) with BC. Of those, two genes, FMNL3 (P = 6.11 × 10−6) and AC058822.1 …

Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Authors

Ceres Fernandez-Rozadilla,Maria Timofeeva,Zhishan Chen,Philip Law,Minta Thomas,Stephanie Schmit,Virginia Díez-Obrero,Li Hsu,Juan Fernandez-Tajes,Claire Palles,Kitty Sherwood,Sarah Briggs,Victoria Svinti,Kevin Donnelly,Susan Farrington,James Blackmur,Peter Vaughan-Shaw,Xiao-ou Shu,Jirong Long,Qiuyin Cai,Xingyi Guo,Yingchang Lu,Peter Broderick,James Studd,Jeroen Huyghe,Tabitha Harrison,David Conti,Christopher Dampier,Mathew Devall,Fredrick Schumacher,Marilena Melas,Gad Rennert,Mireia Obón-Santacana,Vicente Martín-Sánchez,Ferran Moratalla-Navarro,Jae Hwan Oh,Jeongseon Kim,Sun Ha Jee,Keum Ji Jung,Sun-Seog Kweon,Min-Ho Shin,Aesun Shin,Yoon-Ok Ahn,Dong-Hyun Kim,Isao Oze,Wanqing Wen,Keitaro Matsuo,Koichi Matsuda,Chizu Tanikawa,Zefang Ren,Yu-Tang Gao,Wei-Hua Jia,John Hopper,Mark Jenkins,Aung Ko Win,Rish Pai,Jane Figueiredo,Robert Haile,Steven Gallinger,Michael Woods,Polly Newcomb,David Duggan,Jeremy Cheadle,Richard Kaplan,Timothy Maughan,Rachel Kerr,David Kerr,Iva Kirac,Jan Böhm,Lukka-Pekka Mecklin,Pekka Jousilahti,Paul Knekt,Lauri Aaltonen,Harri Rissanen,Eero Pukkala,Johan Eriksson,Tatiana Cajuso,Ulrika Hänninen,Johanna Kondelin,Kimmo Palin,Tomas Tanskanen,Laura Renkonen-Sinisalo,Brent Zanke,Satu Männistö,Demetrius Albanes,Stephanie Weinstein,Edward Ruiz-Narvaez,Julie Palmer,Daniel Buchanan,Elizabeth Platz,Kala Visvanathan,Cornelia Ulrich,Erin Siegel,Stefanie Brezina,Andrea Gsur,Peter Campbell,Jenny Chang-Claude,Michael Hoffmeister,Hermann Brenner,Martha Slattery,John Potter,Konstantinos Tsilidis,Matthias Schulze,Marc Gunter,Neil Murphy,Antoni Castells,Sergi Castellví-Bel,Leticia Moreira,Volker Arndt,Anna Shcherbina,Mariana Stern,Bens Pardamean,Timothy Bishop,Graham Giles,Melissa Southey,Gregory Idos,Kevin McDonnell,Zomoroda Abu-Ful,Joel Greenson,Katerina Shulman,Flavio Lejbkowicz,Kenneth Offit,Yu-Ru Su,Robert Steinfelder,Temitope Keku,Bethany van Guelpen,Thomas Hudson,Heather Hampel,Rachel Pearlman,Sonja Berndt,Richard Hayes,Marie Elena Martinez,Sushma Thomas,Douglas Corley,Paul Pharoah,Susanna Larsson,Yun Yen,Heinz-Josef Lenz,Emily White,Li Li,Kimberly Doheny,Elizabeth Pugh,Tameka Shelford,Andrew Chan,Marcia Cruz-Correa,Annika Lindblom,David Hunter,Amit Joshi,Clemens Schafmayer,Peter Scacheri

Journal

nature genetics

Published Date

2023/3

In the version of this article initially published, the author affiliations incorrectly listed “Candiolo Cancer Institute FPO-IRCCS, Candiolo (TO), Italy” as “Candiolo Cancer Institute, Candiolo, Italy.” The change has been made to the HTML and PDF versions of the article.

Associations of a breast cancer polygenic risk score with tumor characteristics and survival

Authors

Josephine Lopes Cardozo,Irene L Andrulis,Stig E Bojesen,Thilo Dörk,Diana M Eccles,Peter A Fasching,Maartje J Hooning,Renske Keeman,Heli Nevanlinna,Emiel JT Rutgers,Douglas F Easton,Per Hall,Paul DP Pharoah,Laura J Van't Veer,Marjanka K Schmidt,Thomas U Ahearn,Hoda Anton-Culver,Volker Arndt,Paul L Auer,Annelie Augustinsson,Laura E Beane Freeman,Heiko Becher,Matthias W Beckmann,Sabine Behrens,Javier Benitez,Marina Bermisheva,Carl Blomqvist,Manjeet K Bolla,Bernardo Bonanni,Terry Boyle,Hermann Brenner,Sara Y Brucker,Thomas Brüning,Barbara Burwinkel,Saundra S Buys,Nicola J Camp,Federico Canzian,Fatima Cardoso,Jose E Castelao,Melissa H Cessna,Tsun L Chan,Jenny Chang-Claude,Georgia Chenevix-Trench,Ji-Yeob Choi,Sarah V Colonna,Ellen Copson,Fergus J Couch,Angela Cox,Simon S Cross,Kamila Czene,Mary B Daly,Joe Dennis,Peter Devilee,Caroline A Drukker,Alison M Dunning,Miriam Dwek,A Heather Eliassen,Christoph Engel,D Gareth Evans,Jonine D Figueroa,Olivia Fletcher,Henrik Flyger,Manuela Gago-Dominguez,Montserrat García-Closas,José A García-Sáenz,Jeanine Genkinger,Graham G Giles,Anna González-Neira,Pascal Guénel,Melanie Gündert,Eric Hahnen,Christopher A Haiman,Niclas Håkansson,Ute Hamann,Mikael Hartman,Bernadette AM Heemskerk-Gerritsen,Alexander Hein,Weang-Kee Ho,Reiner Hoppe,John L Hopper,Richard S Houlston,Anthony Howell,David J Hunter,Hidemi Ito,Anna Jakubowska,Helena Jernström,Esther M John,Nichola Johnson,Michael E Jones,Vijai Joseph,Rudolf Kaaks,Daehee Kang,Sung-Won Kim,Cari M Kitahara,Linetta B Koppert,Veli-Matti Kosma,Peter Kraft,Vessela N Kristensen,Katerina Kubelka-Sabit,Stella Koutros,Allison W Kurian,Ava Kwong,James V Lacey,Diether Lambrechts,Loic Le Marchand,Jingmei Li,Jan Lubiński,Michael Lush,Arto Mannermaa,Mehdi Manoochehri,Sara Margolin,Keitaro Matsuo,Dimitrios Mavroudis,Kyriaki Michailidou,Roger L Milne,Nur Aishah Mohd Taib,Anna Marie Mulligan,Patrick Neven,William G Newman,Nadia Obi,Kenneth Offit,Andrew F Olshan,Sue K Park,Tjoung-Won Park-Simon,Alpa V Patel,Dijana Plaseska-Karanfilska,Coralie Poncet,Ross L Prentice,Nadege Presneau,Renate Prevos,Katri Pylkäs,Paolo Radice,Gad Rennert,Hedy S Rennert,Atocha Romero,Emmanouil Saloustros,Elinor J Sawyer,Rita K Schmutzler,Lukas Schwentner,Christopher Scott,Mitul Shah,Chen-Yang Shen,Xiao-Ou Shu,Xueling Sim,Melissa C Southey,Jennifer Stone,Daniel O Stram,Rulla M Tamimi,Soo Hwang Teo,Lauren R Teras

Journal

Journal of Clinical Oncology

Published Date

2023/4/1

PURPOSE A polygenic risk score (PRS) consisting of 313 common genetic variants (PRS313) is associated with risk of breast cancer and contralateral breast cancer. This study aimed to evaluate the association of the PRS313 with clinicopathologic characteristics of, and survival following, breast cancer. METHODS Women with invasive breast cancer were included, 98,397 of European ancestry and 12,920 of Asian ancestry, from the Breast Cancer Association Consortium (BCAC), and 683 women from the European MINDACT trial. Associations between PRS313 and clinicopathologic characteristics, including the 70-gene signature for MINDACT, were evaluated using logistic regression analyses. Associations of PRS313 (continuous, per standard deviation) with overall survival (OS) and breast cancer–specific survival (BCSS) were evaluated with Cox regression, adjusted for clinicopathologic characteristics and …

Long-term outcomes of hysterectomy with bilateral salpingo-oophorectomy: a systematic review and meta-analysis

Authors

Hend Hassan,Isaac Allen,Eleni Sofianopoulou,Yvonne Walburga,Clare Turnbull,Diana M Eccles,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Published Date

2023/6/25

Structured abstractObjectiveTo provide an up-to-date systematic review on “the long-term outcomes of bilateral salpingo-oophorectomy (BSO) at the time of hysterectomy” and perform a meta-analysis for the reported associations.Data sourcesWe updated a previous systematic review by searching the literature using PubMed, Web of science and Embase for publications between January 2015 and August 2022.Study eligibility criteriaWe included studies of women who had hysterectomy with BSO compared to hysterectomy with ovarian conservation or no surgery.Study appraisal and Synthesis methodsQuality of the evidence was assessed using Grading of Recommendations, Assessment, Development and Evaluations (GRADE). Adjusted hazard ratios were extracted and combined to obtain fixed effect estimates.ResultsHysterectomy with BSO in young women compared to hysterectomy or no surgery was …

p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study

Authors

Martin Köbel,Eun‐Young Kang,Ashley Weir,Peter F Rambau,Cheng‐Han Lee,Gregg S Nelson,Prafull Ghatage,Nicola S Meagher,Marjorie J Riggan,Jennifer Alsop,Michael S Anglesio,Matthias W Beckmann,Christiani Bisinotto,Michelle Boisen,Jessica Boros,Alison H Brand,Angela Brooks‐Wilson,Michael E Carney,Penny Coulson,Madeleine Courtney‐Brooks,Kara L Cushing‐Haugen,Cezary Cybulski,Suha Deen,Mona A El‐Bahrawy,Esther Elishaev,Ramona Erber,Sian Fereday,AOCS Group,Anna Fischer,Simon A Gayther,Arantzazu Barquin‐Garcia,Aleksandra Gentry‐Maharaj,C Blake Gilks,Helena Gronwald,Marcel Grube,Paul R Harnett,Holly R Harris,Andreas D Hartkopf,Arndt Hartmann,Alexander Hein,Joy Hendley,Brenda Y Hernandez,Yajue Huang,Anna Jakubowska,Mercedes Jimenez‐Linan,Michael E Jones,Catherine J Kennedy,Tomasz Kluz,Jennifer M Koziak,Jaime Lesnock,Jenny Lester,Jan Lubiński,Teri A Longacre,Maria Lycke,Constantina Mateoiu,Bryan M McCauley,Valerie McGuire,Britta Ney,Alexander Olawaiye,Sandra Orsulic,Ana Osorio,Luis Paz‐Ares,Teresa Ramón y Cajal,Joseph H Rothstein,Matthias Ruebner,Minouk J Schoemaker,Mitul Shah,Raghwa Sharma,Mark E Sherman,Yurii B Shvetsov,Naveena Singh,Helen Steed,Sarah J Storr,Aline Talhouk,Nadia Traficante,Chen Wang,Alice S Whittemore,Martin Widschwendter,Lynne R Wilkens,Stacey J Winham,Javier Benitez,Andrew Berchuck,David D Bowtell,Francisco J Candido dos Reis,Ian Campbell,Linda S Cook,Anna DeFazio,Jennifer A Doherty,Peter A Fasching,Renée T Fortner,María J García,Marc T Goodman,Ellen L Goode,Jacek Gronwald,David G Huntsman,Beth Y Karlan,Linda E Kelemen,Stefan Kommoss,Nhu D Le,Stewart G Martin,Usha Menon,Francesmary Modugno,Paul DP Pharoah,Joellen M Schildkraut,Weiva Sieh,Annette Staebler,Karin Sundfeldt,Anthony J Swerdlow,Susan J Ramus,James D Brenton

Journal

The Journal of Pathology: Clinical Research

Published Date

2023/5

Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high‐grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi‐institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC …

Elucidating the risk of colorectal cancer for variants in hereditary colorectal cancer genes

Authors

Khalid Mahmood,Minta Thomas,Conghui Qu,Xiaoliang Wang,Jeroen R Huyghe,Jihoon E Joo,Peter Georgeson,Volker Arndt,Sonja I Berndt,Stéphane Bézieau,Stephanie A Bien,D Timothy Bishop,Hermann Brenner,Stefanie Brezina,Andrea Burnett-Hartman,Peter T Campbell,Graham Casey,Sergi Castellví-Bel,Andrew T Chan,Jenny Chang-Claude,Xuechen Chen,David V Conti,Chiara Cremolini,Brenda Diergaarde,Jane C Figueiredo,Liesel M FitzGerald,Manuela Gago-Dominguez,Steven Gallinger,Graham G Giles,Andrea Gsu,Marc J Gunter,Jochen Hampe,Heather Hampel,Tabitha A Harrison,Michael Hoffmeister,Temitope O Keku,Anshul Kundaje,Loic Le Marchand,Heinz-Josef Lenz,Christopher I Li,Li Li,Yi Lin,Annika Lindblom,Victor Moreno,Neil Murphy,Polly A Newcomb,Christina C Newton,Mireia Obón-Santacana,Shuji Ogino,Rish K Pai,Julie R Palmer,Rachel Pearlman,Paul DP Pharoah,Amanda I Phipps,Elizabeth A Platz,John D Potter,Gad Rennert,Lori C Sakoda,Clemens Schafmayer,Stephanie L Schmit,Robert E Schoen,Martha L Slattery,Zsofia K Stadler,Robert S Steinfelder,Stephen N Thibodeau,Cornelia M Ulrich,Caroline Y Um,Franzel JB van Duijnhoven,Bethany Van Guelpen,Kala Visvanathan,Pavel Vodicka,Ludmila Vodickova,Veronika Vymetalkova,Stephanie J Weinstein,Emily White,Ingrid M Winship,Alicja Wolk,Stephen B Gruber,Mark A Jenkins,Li Hsu,Daniel D Buchanan,Ulrike Peters

Journal

Gastroenterology

Published Date

2023/10/1

The Colon Cancer Family Registry (CCFR, www. coloncfr. org) is supported in part by funding from the National Cancer Institute (NCI), National Institutes of Health (NIH)(award U01 CA167551). Support for case ascertainment was provided in part from the Surveillance, Epidemiology, and End Results (SEER) Program and the following US state cancer registries: AZ, CO, MN, NC, NH; and by the Victoria Cancer Registry (Australia) and Ontario Cancer Registry (Canada). The CCFR Set-1 (Illumina 1M/1M-Duo) and Set-2 (Illumina Omni1-Quad) scans were supported by NIH awards U01 CA122839 and R01 CA143237 (to GC). The CCFR Set-3 (Affymetrix Axiom CORECT Set array) was supported by NIH award U19 CA148107 and R01 CA81488 (to SBG). The CCFR Set-4 (Illumina OncoArray 600K SNP array) was supported by NIH award U19 CA148107 (to SBG) and by the Center for Inherited Disease Research …

Author Correction: Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk

Authors

Naomi Wilcox,Martine Dumont,Anna González-Neira,Sara Carvalho,Charles Joly Beauparlant,Marco Crotti,Craig Luccarini,Penny Soucy,Stéphane Dubois,Rocio Nuñez-Torres,Guillermo Pita,Eugene J Gardner,Joe Dennis,M Rosario Alonso,Nuria Álvarez,Caroline Baynes,Annie Claude Collin-Deschesnes,Sylvie Desjardins,Heiko Becher,Sabine Behrens,Manjeet K Bolla,Jose E Castelao,Jenny Chang-Claude,Sten Cornelissen,Thilo Dörk,Christoph Engel,Manuela Gago-Dominguez,Pascal Guénel,Andreas Hadjisavvas,Eric Hahnen,Mikael Hartman,Belén Herráez,SGBCC Investigators Tan Benita Kiat-Tee 37 38 39 Tan Veronique Kiak Mien 37 38 Tan Su-Ming 40 Lim Geok Hoon 41 Tan Ern Yu 42 43 44 Ho Peh Joo 23 Khng Alexis Jiaying 23,Audrey Jung,Renske Keeman,Marion Kiechle,Jingmei Li,Maria A Loizidou,Michael Lush,Kyriaki Michailidou,Mihalis I Panayiotidis,Xueling Sim,Soo Hwang Teo,Jonathan P Tyrer,Lizet E van der Kolk,Cecilia Wahlström,Qin Wang,John RB Perry,Javier Benitez,Marjanka K Schmidt,Rita K Schmutzler,Paul DP Pharoah,Arnaud Droit,Alison M Dunning,Anders Kvist,Peter Devilee,Douglas F Easton,Jacques Simard

Journal

nature genetics

Published Date

2023/11

In the version of the article initially published, in the sentence in the Abstract now reading “Associations were also observed for LZTR1, ATRIPand BARD1with P< 1× 10− 4”,“ATRIP” appeared incorrectly as “ATR”. This has now been corrected in the PDF and HTML versions of the article.

Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Authors

Ceres Fernandez-Rozadilla,Maria Timofeeva,Zhishan Chen,Philip Law,Minta Thomas,Stephanie Schmit,Virginia Díez-Obrero,Li Hsu,Juan Fernandez-Tajes,Claire Palles,Kitty Sherwood,Sarah Briggs,Victoria Svinti,Kevin Donnelly,Susan Farrington,James Blackmur,Peter Vaughan-Shaw,Xiao-ou Shu,Jirong Long,Qiuyin Cai,Xingyi Guo,Yingchang Lu,Peter Broderick,James Studd,Jeroen Huyghe,Tabitha Harrison,David Conti,Christopher Dampier,Mathew Devall,Fredrick Schumacher,Marilena Melas,Gad Rennert,Mireia Obón-Santacana,Vicente Martín-Sánchez,Ferran Moratalla-Navarro,Jae Hwan Oh,Jeongseon Kim,Sun Ha Jee,Keum Ji Jung,Sun-Seog Kweon,Min-Ho Shin,Aesun Shin,Yoon-Ok Ahn,Dong-Hyun Kim,Isao Oze,Wanqing Wen,Keitaro Matsuo,Koichi Matsuda,Chizu Tanikawa,Zefang Ren,Yu-Tang Gao,Wei-Hua Jia,John Hopper,Mark Jenkins,Aung Ko Win,Rish Pai,Jane Figueiredo,Robert Haile,Steven Gallinger,Michael Woods,Polly Newcomb,David Duggan,Jeremy Cheadle,Richard Kaplan,Timothy Maughan,Rachel Kerr,David Kerr,Iva Kirac,Jan Böhm,Lukka-Pekka Mecklin,Pekka Jousilahti,Paul Knekt,Lauri Aaltonen,Harri Rissanen,Eero Pukkala,Johan Eriksson,Tatiana Cajuso,Ulrika Hänninen,Johanna Kondelin,Kimmo Palin,Tomas Tanskanen,Laura Renkonen-Sinisalo,Brent Zanke,Satu Männistö,Demetrius Albanes,Stephanie Weinstein,Edward Ruiz-Narvaez,Julie Palmer,Daniel Buchanan,Elizabeth Platz,Kala Visvanathan,Cornelia Ulrich,Erin Siegel,Stefanie Brezina,Andrea Gsur,Peter Campbell,Jenny Chang-Claude,Michael Hoffmeister,Hermann Brenner,Martha Slattery,John Potter,Konstantinos Tsilidis,Matthias Schulze,Marc Gunter,Neil Murphy,Antoni Castells,Sergi Castellví-Bel,Leticia Moreira,Volker Arndt,Anna Shcherbina,Mariana Stern,Bens Pardamean,Timothy Bishop,Graham Giles,Melissa Southey,Gregory Idos,Kevin McDonnell,Zomoroda Abu-Ful,Joel Greenson,Katerina Shulman,Flavio Lejbkowicz,Kenneth Offit,Yu-Ru Su,Robert Steinfelder,Temitope Keku,Bethany Van Guelpen,Thomas Hudson,Heather Hampel,Rachel Pearlman,Sonja Berndt,Richard Hayes,Marie Elena Martinez,Sushma Thomas,Douglas Corley,Paul Pharoah,Susanna Larsson,Yun Yen,Heinz-Josef Lenz,Emily White,Li Li,Kimberly Doheny,Elizabeth Pugh,Tameka Shelford,Andrew Chan,Marcia Cruz-Correa,Annika Lindblom,David Hunter,Amit Joshi,Clemens Schafmayer,Peter Scacheri

Journal

Nature genetics

Published Date

2023/1

Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector …

Genetically proxied glucose-lowering drug target perturbation and risk of cancer: a Mendelian randomisation analysis

Authors

James Yarmolinsky,Emmanouil Bouras,Andrei Constantinescu,Kimberley Burrows,Caroline J Bull,Emma E Vincent,Richard M Martin,Olympia Dimopoulou,Sarah J Lewis,Victor Moreno,Marijana Vujkovic,Kyong-Mi Chang,Benjamin F Voight,Philip S Tsao,Marc J Gunter,Jochen Hampe,Andrew J Pellatt,Paul DP Pharoah,Robert E Schoen,Steven Gallinger,Mark A Jenkins,Rish K Pai,Henrik Grönberg,Nora Pashayan,Johanna Schleutker,Demetrius Albanes,Stephanie Weinstein,Alicja Wolk,Catharine ML West,Lorelei A Mucci,Géraldine Cancel-Tassin,Stella Koutros,Karina Dalsgaard Sørensen,Eli Marie Grindedal,David E Neal,Freddie C Hamdy,Jenny L Donovan,Ruth C Travis,Robert J Hamilton,Sue Ann Ingles,Barry S Rosenstein,Yong-Jie Lu,Graham G Giles,Adam S Kibel,Ana Vega,Manolis Kogevinas,Kathryn L Penney,Jong Y Park,Janet L Stanford,Cezary Cybulski,Børge G Nordestgaard,Sune F Nielsen,Hermann Brenner,Christiane Maier,Jeri Kim,Esther M John,Manuel R Teixeira,Susan L Neuhausen,Kim De Ruyck,Azad Razack,Lisa F Newcomb,Davor Lessel,Radka Kaneva,Nawaid Usmani,Frank Claessens,Paul A Townsend,Jose Esteban Castelao,Monique J Roobol,Florence Menegaux,Kay-Tee Khaw,Lisa Cannon-Albright,Hardev Pandha,Stephen N Thibodeau,David J Hunter,Peter Kraft,William J Blot,Elio Riboli

Journal

Diabetologia

Published Date

2023/8

Aims/hypothesisEpidemiological studies have generated conflicting findings on the relationship between glucose-lowering medication use and cancer risk. Naturally occurring variation in genes encoding glucose-lowering drug targets can be used to investigate the effect of their pharmacological perturbation on cancer risk.MethodsWe developed genetic instruments for three glucose-lowering drug targets (peroxisome proliferator activated receptor γ [PPARG]; sulfonylurea receptor 1 [ATP binding cassette subfamily C member 8 (ABCC8)]; glucagon-like peptide 1 receptor [GLP1R]) using summary genetic association data from a genome-wide association study of type 2 diabetes in 148,726 cases and 965,732 controls in the Million Veteran Program. Genetic instruments were constructed using cis-acting genome-wide significant (p<5×10−8) SNPs permitted to be in weak linkage disequilibrium (r2<0.20). Summary …

Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

Authors

Hagai Levi,Shai Carmi,Saharon Rosset,Rinat Yerushalmi,Aviad Zick,Tamar Yablonski-Peretz,Qin Wang,Manjeet K Bolla,Joe Dennis,Kyriaki Michailidou,Michael Lush,Thomas Ahearn,Irene L Andrulis,Hoda Anton-Culver,Antonis C Antoniou,Volker Arndt,Annelie Augustinsson,Päivi Auvinen,Laura Beane Freeman,Matthias Beckmann,Sabine Behrens,Marina Bermisheva,Clara Bodelon,Natalia V Bogdanova,Stig E Bojesen,Hermann Brenner,Helen Byers,Nicola Camp,Jose Castelao,Jenny Chang-Claude,María-Dolores Chirlaque,Wendy Chung,Christine Clarke,Margriet J Collee,Sarah Colonna,Fergus Couch,Angela Cox,Simon S Cross,Kamila Czene,Mary Daly,Peter Devilee,Thilo Dork,Laure Dossus,Diana M Eccles,A Heather Eliassen,Mikael Eriksson,Gareth Evans,Peter Fasching,Olivia Fletcher,Henrik Flyger,Lin Fritschi,Marike Gabrielson,Manuela Gago-Dominguez,Montserrat García-Closas,Jose Angel Garcia-Saenz,Jeanine Genkinger,Graham G Giles,Mark Goldberg,Pascal Guénel,Per Hall,Ute Hamann,Wei He,Peter Hillemanns,Antoinette Hollestelle,Reiner Hoppe,John Hopper,Simona Jakovchevska,Anna Jakubowska,Helena Jernström,Esther John,Nichola Johnson,Michael Jones,Joseph Vijai,Rudolf Kaaks,Elza Khusnutdinova,Cari Kitahara,Stella Koutros,Vessela Kristensen,Allison W Kurian,James Lacey,Diether Lambrechts,Loic Le Marchand,Flavio Lejbkowicz,Annika Lindblom,Sibylle Loibl,Adriana Lori,Jan Lubinski,Arto Mannermaa,Mehdi Manoochehri,Dimitrios Mavroudis,Usha Menon,AnnaMarie Mulligan,Rachel Murphy,Ines Nevelsteen,William G Newman,Nadia Obi,Katie O'Brien,Ken Offit,Andrew Olshan,Dijana Plaseska-Karanfilska,Janet Olson,Salvatore Panico,Tjoung-Won Park-Simon,Alpa Patel,Paolo Peterlongo,Brigitte Rack,Paolo Radice,Gad Rennert,Valerie Rhenius,Atocha Romero,Emmanouil Saloustros,Dale Sandler,Marjanka K Schmidt,Lukas Schwentner,Mitul Shah,Priyanka Sharma,Jacques Simard,Melissa Southey,Jennifer Stone,William J Tapper,Jack Taylor,Lauren Teras,Amanda E Toland,Melissa Troester,Thérèse Truong,Lizet E van der Kolk,Clarice Weinberg,Camilla Wendt,Xiaohong Rose Yang,Wei Zheng,Argyrios Ziogas,Alison M Dunning,Paul Pharoah,Douglas F Easton,Shay Ben-Sachar,Naama Elefant,Ron Shamir,Ran Elkon,BCAC Consortium,NBCS Collaborators,CTS Consortium,ABCTB Investigators

Journal

Journal of medical genetics

Published Date

2023/12/1

BackgroundPolygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women.MethodsWe generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center …

Increased FOXJ1 protein expression is associated with improved overall survival in high-grade serous ovarian carcinoma: an Ovarian Tumor Tissue Analysis Consortium Study

Authors

Ashley Weir,Eun-Young Kang,Nicola S Meagher,Gregg S Nelson,Prafull Ghatage,Cheng-Han Lee,Marjorie J Riggan,Aleksandra Gentry-Maharaj,Andy Ryan,Naveena Singh,Martin Widschwendter,Jennifer Alsop,Michael S Anglesio,Matthias W Beckmann,Jessica Berger,Christiani Bisinotto,Jessica Boros,Alison H Brand,James D Brenton,Angela Brooks-Wilson,Michael E Carney,Julie M Cunningham,Kara L Cushing-Haugen,Cezary Cybulski,Esther Elishaev,Ramona Erber,Sian Fereday,Anna Fischer,Luis Paz-Ares,Javier Gayarre,Blake C Gilks,Marcel Grube,Paul R Harnett,Holly R Harris,Arndt Hartmann,Alexander Hein,Joy Hendley,Brenda Y Hernandez,Sabine Heublein,Yajue Huang,Tomasz Huzarski,Anna Jakubowska,Mercedes Jimenez-Linan,Catherine J Kennedy,Felix KF Kommoss,Jennifer M Koziak,Bernhard Kraemer,Nhu D Le,Jaime Lesnock,Jenny Lester,Jan Lubiński,Janusz Menkiszak,Britta Ney,Alexander Olawaiye,Sandra Orsulic,Ana Osorio,Luis Robles-Díaz,Matthias Ruebner,Mitul Shah,Raghwa Sharma,Yurii B Shvetsov,Helen Steed,Aline Talhouk,Sarah E Taylor,Nadia Traficante,Robert A Vierkant,Chen Wang,Lynne R Wilkens,Stacey J Winham,Javier Benitez,Andrew Berchuck,David D Bowtell,Francisco J Candido dos Reis,Linda S Cook,Anna DeFazio,AOCs group Bowtell D. 30 31 DeFazio A. 5 19 20 21 Traficante N. 30 31 Fereday S. 30 31 Brand A. 20 21 Harnett P. 21 38 Sharma R. 52,Jennifer A Doherty,Peter A Fasching,María J García,Ellen L Goode,Marc T Goodman,Jacek Gronwald,David G Huntsman,Beth Y Karlan,Stefan Kommoss,Francesmary Modugno,Joellen M Schildkraut,Hans-Peter Sinn,Annette Staebler,Linda E Kelemen,Caroline E Ford,Usha Menon,Paul DP Pharoah,Martin Köbel,Susan J Ramus

Journal

British journal of cancer

Published Date

2023/1/26

BackgroundRecently, we showed a >60% difference in 5-year survival for patients with tubo-ovarian high-grade serous carcinoma (HGSC) when stratified by a 101-gene mRNA expression prognostic signature. Given the varied patient outcomes, this study aimed to translate prognostic mRNA markers into protein expression assays by immunohistochemistry and validate their survival association in HGSC.MethodsTwo prognostic genes, FOXJ1 and GMNN, were selected based on high-quality antibodies, correlation with protein expression and variation in immunohistochemical scores in a preliminary cohort (n = 134 and n = 80, respectively). Six thousand four hundred and thirty-four (FOXJ1) and 5470 (GMNN) formalin-fixed, paraffin-embedded ovarian neoplasms (4634 and 4185 HGSC, respectively) represented on tissue microarrays from the Ovarian Tumor Tissue Analysis consortium underwent …

Spectrum and Frequency of Germline FANCM Protein-Truncating Variants in 44,803 European Female Breast Cancer Cases

Authors

Gisella Figlioli,Amandine Billaud,Qin Wang,Manjeet K Bolla,Joe Dennis,Michael Lush,Anders Kvist,Muriel A Adank,Thomas U Ahearn,Natalia N Antonenkova,Päivi Auvinen,Sabine Behrens,Marina Bermisheva,Natalia V Bogdanova,Stig E Bojesen,Bernardo Bonanni,Thomas Brüning,Nicola J Camp,Archie Campbell,Jose E Castelao,Melissa H Cessna,NBCS Collaborators,Kamila Czene,Peter Devilee,Thilo Dörk,Mikael Eriksson,Peter A Fasching,Henrik Flyger,Marike Gabrielson,Manuela Gago-Dominguez,Montserrat García-Closas,Gord Glendon,Encarna B Gómez Garcia,Anna González-Neira,Felix Grassmann,Pascal Guénel,Eric Hahnen,Ute Hamann,Peter Hillemanns,Maartje J Hooning,Reiner Hoppe,Anthony Howell,Keith Humphreys,kConFab Investigators,Anna Jakubowska,Elza K Khusnutdinova,Vessela N Kristensen,Annika Lindblom,Maria A Loizidou,Jan Lubiński,Arto Mannermaa,Tabea Maurer,Dimitrios Mavroudis,William G Newman,Nadia Obi,Mihalis I Panayiotidis,Paolo Radice,Muhammad U Rashid,Valerie Rhenius,Matthias Ruebner,Emmanouil Saloustros,Elinor J Sawyer,Marjanka K Schmidt,Rita K Schmutzler,Mitul Shah,Melissa C Southey,Ian Tomlinson,Thérèse Truong,Elke M van Veen,Camilla Wendt,Xiaohong R Yang,Kyriaki Michailidou,Alison M Dunning,Paul DP Pharoah,Douglas F Easton,Irene L Andrulis,D Gareth Evans,Antoinette Hollestelle,Jenny Chang-Claude,Roger L Milne,Paolo Peterlongo

Journal

Cancers

Published Date

2023/6/23

Simple Summary Mutations in the FANCM gene may cause a particular type of breast cancer known as ER-negative. In this study, we describe the geographic distribution of 66 different FANCM mutations identified in 44,803 female breast cancer cases from Europe, USA, Canada and Australia. We found that the FANCM:p.Gln1701* mutation is most common in Northern Europe and has lower frequencies in Southern European countries. In contrast, the FANCM:p.Gly1906Alafs*12 mutation is most common in Southern Europe and rarer in Central and Northern Europe. We found that the FANCM:p.Arg658* mutation is most prevalent in Central Europe and that the FANCM:p.Gln498Thrfs*7 mutation originates from Lithuania. Finally, we showed that many and varied FANCM mutations are present in Southwestern and Central Europeans while a much more limited range of mutations is present in Northeastern Europeans. The knowledge of this geographic distribution of FANCM mutations is important to establish more efficient genetic testing strategies in specific populations. Abstract FANCM germline protein truncating variants (PTVs) are moderate-risk factors for ER-negative breast cancer. We previously described the spectrum of FANCM PTVs in 114 European breast cancer cases. In the present, larger cohort, we report the spectrum and frequency of four common and 62 rare FANCM PTVs found in 274 carriers detected among 44,803 breast cancer cases. We confirmed that p.Gln1701* was the most common PTV in Northern Europe with lower frequencies in Southern Europe. In contrast, p.Gly1906Alafs*12 was the …

Rare germline genetic variation in PAX8 transcription factor binding sites and susceptibility to epithelial ovarian cancer

Authors

Suzana AM Ezquina,Michelle Jones,Ed Dicks,Amber de Vries,Pei-Chen Peng,Kate Lawrenson,Rosario I Corona,Jonthan Tyrer,Dennis Hazelett,James Brenton,Antonis Antoniou,Simon A Gayther,Paul DP Pharoah

Journal

medRxiv

Published Date

2023/3/22

Common genetic variation throughout the genome together with rare coding variants identified to date explain about a half of the inherited genetic component of epithelial ovarian cancer risk. It is likely that rare variation in the non-coding genome will explain some of the unexplained heritability, but identifying such variants is challenging. The primary problem is lack of statistical power to identifying individual risk variants by association as power is a function of sample size, effect size and allele frequency. Power can be increased by using burden tests which test for association of carriers of any variant in a specified genomic region. This has the effect of increasing the putative effect allele frequency.PAX8 is a transcription factor that plays a critical role in tumour progression, migration and invasion. Furthermore, regulatory elements proximal to target genes of PAX8 are enriched for common ovarian cancer risk variants. We hypothesised that rare variation in PAX8 binding sites are also associated with ovarian cancer risk, but unlikely to be associated with risk of breast, colorectal or endometrial cancer.We have used publicly-available, whole-genome sequencing data from the UK 100,000 Genomes Project to evaluate the burden of rare variation in PAX8 binding sites across the genome. Data were available for 522 ovarian cancers, 2560 breast cancers, 2465 colorectal cancers and 729 endometrial cancers and 2253 non-cancer controls. Active binding sites were defined using data from multiple PAX8 and H3K27 ChIPseq experiments.We found no association between the burden of rare variation in PAX8 binding sites (defined in several ways) and …

CCNE1 and survival of patients with tubo‐ovarian high‐grade serous carcinoma: An Ovarian Tumor Tissue Analysis consortium study

Authors

Eun‐Young Kang,Ashley Weir,Nicola S Meagher,Kyo Farrington,Gregg S Nelson,Prafull Ghatage,Cheng‐Han Lee,Marjorie J Riggan,Adelyn Bolithon,Gordana Popovic,Betty Leung,Katrina Tang,Neil Lambie,Joshua Millstein,Jennifer Alsop,Michael S Anglesio,Beyhan Ataseven,Ellen Barlow,Matthias W Beckmann,Jessica Berger,Christiani Bisinotto,Hans Bösmüller,Jessica Boros,Alison H Brand,Angela Brooks‐Wilson,Sara Y Brucker,Michael E Carney,Yovanni Casablanca,Alicia Cazorla‐Jiménez,Paul A Cohen,Thomas P Conrads,Linda S Cook,Penny Coulson,Madeleine Courtney‐Brooks,Daniel W Cramer,Philip Crowe,Julie M Cunningham,Cezary Cybulski,Kathleen M Darcy,Mona A El‐Bahrawy,Esther Elishaev,Ramona Erber,Rhonda Farrell,Sian Fereday,Anna Fischer,María J García,Simon A Gayther,Aleksandra Gentry‐Maharaj,C Blake Gilks,AOCS Group,Marcel Grube,Paul R Harnett,Shariska Petersen Harrington,Philipp Harter,Arndt Hartmann,Jonathan L Hecht,Sebastian Heikaus,Alexander Hein,Florian Heitz,Joy Hendley,Brenda Y Hernandez,Susanna Hernando Polo,Sabine Heublein,Akira Hirasawa,Estrid Høgdall,Claus K Høgdall,Hugo M Horlings,David G Huntsman,Tomasz Huzarski,Andrea Jewell,Mercedes Jimenez‐Linan,Michael E Jones,Scott H Kaufmann,Catherine J Kennedy,Dineo Khabele,Felix KF Kommoss,Roy FPM Kruitwagen,Diether Lambrechts,Nhu D Le,Marcin Lener,Jenny Lester,Yee Leung,Anna Linder,Liselore Loverix,Jan Lubiński,Rashna Madan,G Larry Maxwell,Francesmary Modugno,Susan L Neuhausen,Alexander Olawaiye,Siel Olbrecht,Sandra Orsulic,José Palacios,Celeste Leigh Pearce,Malcolm C Pike,Carmel M Quinn,Ganendra Raj Mohan,Cristina Rodríguez‐Antona,Matthias Ruebner,Andy Ryan,Stuart G Salfinger,Naoko Sasamoto,Joellen M Schildkraut,Minouk J Schoemaker,Mitul Shah,Raghwa Sharma,Yurii B Shvetsov,Naveena Singh,Gabe S Sonke,Linda Steele,Colin JR Stewart,Karin Sundfeldt,Anthony J Swerdlow,Aline Talhouk,Adeline Tan,Sarah E Taylor,Kathryn L Terry,Aleksandra Tołoczko,Nadia Traficante,Koen K Van de Vijver,Maaike A van der Aa,Toon Van Gorp,Els Van Nieuwenhuysen,Lilian van‐Wagensveld,Ignace Vergote,Robert A Vierkant,Chen Wang,Lynne R Wilkens,Stacey J Winham,Anna H Wu,Javier Benitez,Andrew Berchuck,Francisco J Candido dos Reis,Anna DeFazio,Peter A Fasching,Ellen L Goode,Marc T Goodman,Jacek Gronwald,Beth Y Karlan,Stefan Kommoss,Usha Menon,Hans‐Peter Sinn,Annette Staebler,James D Brenton,David D Bowtell,Paul DP Pharoah,Susan J Ramus,Martin Köbel

Journal

Cancer

Published Date

2023/3/1

Background Cyclin E1 (CCNE1) is a potential predictive marker and therapeutic target in tubo‐ovarian high‐grade serous carcinoma (HGSC). Smaller studies have revealed unfavorable associations for CCNE1 amplification and CCNE1 overexpression with survival, but to date no large‐scale, histotype‐specific validation has been performed. The hypothesis was that high‐level amplification of CCNE1 and CCNE1 overexpression, as well as a combination of the two, are linked to shorter overall survival in HGSC. Methods Within the Ovarian Tumor Tissue Analysis consortium, amplification status and protein level in 3029 HGSC cases and mRNA expression in 2419 samples were investigated. Results High‐level amplification (>8 copies by chromogenic in situ hybridization) was found in 8.6% of HGSC and overexpression (>60% with at least 5% demonstrating strong intensity by immunohistochemistry) was found …

Cross-trait genome-wide association meta-analyses of clonal hematopoiesis and solid tumor risk

Authors

Victoria Gray,George Richenberg,Pedro Quirós,Matthew Freedman,Paul Pharoah,Simon Gayther,Michelle Jones,George Vassiliou,Kate Lawrenson,Siddhartha Kar

Journal

Cancer Research

Published Date

2023/4/4

Clonal hematopoiesis (CH) is an age-related phenomenon where hematopoietic stem cells and their progeny acquire specific somatic mutations in a small, well-defined set of leukemogenic genes conferring them with fitness advantage leading to clonal proliferation. Mosaic chromosomal alterations (mCAs) are somatic structural variants that are manifestations of genomic instability and a sign of CH when they occur in blood. The recent availability of large-scale cohorts with blood exome sequence and genotype data has powered genome-wide association studies (GWAS) investigating the germline genetic contribution to CH and mCA risk. However, phenotypes of somatic mutation acquisition in driver genes, clonal selection and expansion, and chromosomal mosaicism are processes that are not confined to blood and contribute to neoplastic transformation across tissue types. GWAS of solid tumor susceptibility …

Lifestyle and personal factors associated with having macroscopic residual disease after ovarian cancer primary cytoreductive surgery

Authors

Minh Tung Phung,Penelope M Webb,Anna DeFazio,Sian Fereday,Alice W Lee,David DL Bowtell,Peter A Fasching,Ellen L Goode,Marc T Goodman,Beth Y Karlan,Jenny Lester,Keitaro Matsuo,Francesmary Modugno,James D Brenton,Toon Van Gorp,Paul DP Pharoah,Joellen M Schildkraut,Karen McLean,Rafael Meza,Bhramar Mukherjee,Jean Richardson,Bronwyn Grout,Anne Chase,Cindy McKinnon Deurloo,Kathryn L Terry,Gillian E Hanley,Malcolm C Pike,Andrew Berchuck,Susan J Ramus,Celeste Leigh Pearce,Ovarian Cancer Association Consortium

Journal

Gynecologic oncology

Published Date

2023/1/1

ObjectiveThe presence of macroscopic residual disease after primary cytoreductive surgery (PCS) is an important factor influencing survival for patients with high-grade serous ovarian cancer (HGSC). More research is needed to identify factors associated with having macroscopic residual disease. We analyzed 12 lifestyle and personal exposures known to be related to ovarian cancer risk or inflammation to identify those associated with having residual disease after surgery.MethodsThis analysis used data on 2054 patients with advanced stage HGSC from the Ovarian Cancer Association Consortium. The exposures were body mass index, breastfeeding, oral contraceptive use, depot-medroxyprogesterone acetate use, endometriosis, first-degree family history of ovarian cancer, incomplete pregnancy, menopausal hormone therapy use, menopausal status, parity, smoking, and tubal ligation. Logistic regression …

A framework for assessing interactions for risk stratification models: the example of ovarian cancer

Authors

Minh Tung Phung,Alice W Lee,Karen McLean,Hoda Anton-Culver,Elisa V Bandera,Michael E Carney,Jenny Chang-Claude,Daniel W Cramer,Jennifer Anne Doherty,Renee T Fortner,Marc T Goodman,Holly R Harris,Allan Jensen,Francesmary Modugno,Kirsten B Moysich,Paul DP Pharoah,Bo Qin,Kathryn L Terry,Linda J Titus,Penelope M Webb,Anna H Wu,Nur Zeinomar,Argyrios Ziogas,Andrew Berchuck,Kathleen R Cho,Gillian E Hanley,Rafael Meza,Bhramar Mukherjee,Malcolm C Pike,Celeste Leigh Pearce,Britton Trabert

Journal

JNCI: Journal of the National Cancer Institute

Published Date

2023/11/1

Generally, risk stratification models for cancer use effect estimates from risk/protective factor analyses that have not assessed potential interactions between these exposures. We have developed a 4-criterion framework for assessing interactions that includes statistical, qualitative, biological, and practical approaches. We present the application of this framework in an ovarian cancer setting because this is an important step in developing more accurate risk stratification models. Using data from 9 case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions among 15 unequivocal risk and protective factors for ovarian cancer (including 14 non-genetic factors and a 36-variant polygenic score) with age and menopausal status. Pairwise interactions between the risk/protective factors were also assessed. We found that menopausal status modifies the …

Impact of PARP Inhibitor and Platinum Therapy on Clonal Hematopoiesis

Authors

Jeremy T Baeten,Irenaeus CC Chan,Lea Moukarzel,Amber C Carter,Minal Patel,Konrad H Stopsack,Paul Pharoah,James Brenton,Bob T Li,Wassim Abida,Alison M Schram,Karen Cadoo,Britta Weigelt,Carlos Cruchaga,Howard Scher,Ross L Levine,Elli Papaemmanuil,Daniel C Link,Kelly L Bolton

Journal

Blood

Published Date

2023/11/28

Poly (ADP-ribose) polymerase inhibitors (PARPi) are a promising new class of targeted therapy used in a variety of solid tumors with homologous recombination deficiencies (HRD). Data from clinical trials and observational studies have linked PARPi and platinum-based agents to therapy-related myeloid neoplasia (tMN). However, interpretation of these findings is limited by confounding variables including germline mutation status and prior therapeutic exposure. We and others have shown that the oncologic therapies known to confer an elevated risk of leukemia also promote the expansion of clonal hematopoiesis (CH) due to mutations of genes in the DNA damage response (DDR) pathway, including TP53, PPM1D and CHEK2. However, the extent to which CH is associated with targeted therapies such as PARPi is not clear. We hypothesized that exposure to PARPi confers a competitive advantage to …

Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer‐specific survival

Authors

Anna Morra,Maartje AC Schreurs,Irene L Andrulis,Hoda Anton‐Culver,Annelie Augustinsson,Matthias W Beckmann,Sabine Behrens,Stig E Bojesen,Manjeet K Bolla,Hiltrud Brauch,Annegien Broeks,Saundra S Buys,Nicola J Camp,Jose E Castelao,Melissa H Cessna,Jenny Chang‐Claude,Wendy K Chung,NBCS Collaborators,Kristine K Sahlberg,Anne‐Lise Børresen‐Dale,Inger Torhild Gram,Karina Standahl Olsen,Olav Engebråten,Bjørn Naume,Jürgen Geisler,OSBREAC,Grethe I Grenaker Alnæs,Sarah V Colonna,Fergus J Couch,Angela Cox,Simon S Cross,Kamila Czene,Mary B Daly,Joe Dennis,Peter Devilee,Thilo Dörk,Alison M Dunning,Miriam Dwek,Douglas F Easton,Diana M Eccles,Mikael Eriksson,D Gareth Evans,Peter A Fasching,Tanja N Fehm,Jonine D Figueroa,Henrik Flyger,Marike Gabrielson,Manuela Gago‐Dominguez,Montserrat García‐Closas,José A García‐Sáenz,Jeanine Genkinger,Felix Grassmann,Melanie Gündert,Eric Hahnen,Christopher A Haiman,Ute Hamann,Patricia A Harrington,Jaana M Hartikainen,Reiner Hoppe,John L Hopper,Richard S Houlston,Anthony Howell,ABCTB Investigators,Christine Clarke,Deborah Marsh,Rodney Scott,Robert Baxter,Desmond Yip,Jane Carpenter,Alison Davis,Nirmala Pathmanathan,Peter Simpson,J Dinny Graham,Mythily Sachchithananthan,kConFab Investigators,David Amor,Lesley Andrews,Yoland Antill,Rosemary Balleine,Jonathan Beesley,Ian Bennett,Michael Bogwitz,Leon Botes,Meagan Brennan,Melissa Brown,Michael Buckley,Jo Burke,Phyllis Butow,Liz Caldon,Ian Campbell,Michelle Cao,Anannya Chakrabarti,Deepa Chauhan,Manisha Chauhan,Georgia Chenevix‐Trench,Alice Christian,Paul Cohen,Alison Colley,Ashley Crook,James Cui,Eliza Courtney,Margaret Cummings,Sarah‐Jane Dawson,Anna DeFazio,Martin Delatycki,Rebecca Dickson,Joanne Dixon,Ted Edkins,Stacey Edwards,Gelareh Farshid,Andrew Fellows,Georgina Fenton,Michael Field,James Flanagan,Peter Fong,Laura Forrest,Stephen Fox,Juliet French,Michael Friedlander,Clara Gaff,Mike Gattas,Peter George,Sian Greening,Marion Harris,Stewart Hart,Nick Hayward,John Hopper,Cass Hoskins,Clare Hunt,Paul James,Mark Jenkins,Alexa Kidd,Judy Kirk,Jessica Koehler,James Kollias,Sunil Lakhani,Mitchell Lawrence,Jason Lee,Shuai Li,Geoff Lindeman,Lara Lipton,Liz Lobb,Sherene Loi,Graham Mann,Deborah Marsh,Sue Anne McLachlan,Bettina Meiser,Roger Milne,Sophie Nightingale,Shona O’Connell

Journal

Cancer medicine

Published Date

2023/8

Background Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC‐specific survival (BCSS) compared to non‐carriers. Aim To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Methods Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow‐up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi‐state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. Results There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association …

Polygenic scores in cancer

Authors

Xin Yang,Siddhartha Kar,Antonis C Antoniou,Paul DP Pharoah

Published Date

2023/9

Since the publication of the first genome-wide association study for cancer in 2007, thousands of common alleles that are associated with the risk of cancer have been identified. The relative risk associated with individual variants is small and of limited clinical significance. However, the combined effect of multiple risk variants as captured by polygenic scores (PGSs) may be much greater and therefore provide risk discrimination that is clinically useful. We review the considerable research efforts over the past 15 years for developing statistical methods for PGSs and their application in large-scale genome-wide association studies to develop PGSs for various cancers. We review the predictive performance of these PGSs and the multiple challenges currently limiting the clinical application of PGSs. Despite this, PGSs are beginning to be incorporated into clinical multifactorial risk prediction models to stratify risk in both …

Risks of second non-breast primaries following breast cancer in women: a systematic review and meta-analysis

Authors

Isaac Allen,Hend Hassan,Eleni Sofianopoulou,Diana Eccles,Clare Turnbull,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Published Date

2023/2/10

BackgroundSecond primary cancer incidence is rising among breast cancer survivors. We examined the risks of non-breast second primaries, in combination and at specific cancer sites, through a systematic review and meta-analysis. MethodsWe conducted a systematic search of PubMed, Embase, and Web of Science, seeking studies published by March 2022. We included studies that reported standardized incidence ratios (SIRs), with associated standard errors, assessing the combined risk of second non-breast primaries following breast cancer. We performed meta-analyses of combined second primary risks, stratifying by age, follow-up duration, and geographic region. We also assessed second primary risks at several specific sites, stratifying by age. The inverse variance method with DerSimonian–Laird estimators was used in all meta-analyses, assuming a random-effects model. Associated biases and …

Validation of a genetic-enhanced risk prediction model for colorectal cancer in a large community-based cohort

Authors

Yu-Ru Su,Lori C Sakoda,Jihyoun Jeon,Minta Thomas,Yi Lin,Jennifer L Schneider,Natalia Udaltsova,Jeffrey K Lee,Iris Lansdorp-Vogelaar,Elisabeth FP Peterse,Ann G Zauber,Jiayin Zheng,Yingye Zheng,Elizabeth Hauser,John A Baron,Elizabeth L Barry,D Timothy Bishop,Hermann Brenner,Daniel D Buchanan,Andrea Burnett-Hartman,Peter T Campbell,Graham Casey,Sergi Castellví-Bel,Andrew T Chan,Jenny Chang-Claude,Jane C Figueiredo,Steven J Gallinger,Graham G Giles,Stephen B Gruber,Andrea Gsur,Marc J Gunter,Jochen Hampe,Heather Hampel,Tabitha A Harrison,Michael Hoffmeister,Xinwei Hua,Jeroen R Huyghe,Mark A Jenkins,Temitope O Keku,Loic Le Marchand,Li Li,Annika Lindblom,Victor Moreno,Polly A Newcomb,Paul DP Pharoah,Elizabeth A Platz,John D Potter,Conghui Qu,Gad Rennert,Robert E Schoen,Martha L Slattery,Mingyang Song,Fränzel JB van Duijnhoven,Bethany Van Guelpen,Pavel Vodicka,Alicja Wolk,Michael O Woods,Anna H Wu,Richard B Hayes,Ulrike Peters,Douglas A Corley,Li Hsu

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2023/3/6

Background Polygenic risk scores (PRS) which summarize individuals’ genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance. Methods The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age …

Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Authors

Katherine A Kentistou,Lena R Kaisinger,Stasa Stankovic,Marc Vaudel,Edson M de Oliveira,Andrea Messina,Robin G Walters,Xiaoxi Liu,Alexander S Busch,Hannes Helgason,Deborah J Thompson,Federico Santon,Konstantin M Petricek,Yassine Zouaghi,Isabel Huang-Doran,Daniel F Gudbjartsson,Eirik Bratland,Kuang Lin,Eugene J Gardner,Yajie Zhao,Raina Jia,Chikashi Terao,Margie Riggan,Manjeet K Bolla,Mojgan Yazdanpanah,Nahid Yazdanpanah,Jonath P Bradfield,Linda Broer,Archie Campbell,Daniel I Chasman,Diana L Cousminer,Nora Franceschini,Lude H Franke,Giorgia Girotto,Chunyan He,Marjo-Riitta Järvelin,Peter K Joshi,Yoichiro Kamatani,Robert Karlsson,Jian’an Luan,Kathryn L Lunetta,Reedik Mägi,Massimo Mangino,Sarah E Medland,Christa Meisinger,Raymond Noordam,Teresa Nutile,Maria Pina Concas,Ozren Polašek,Eleonora Porcu,Susan M Ring,Cinzia Sala,Albert V Smith,Toshiko Tanaka,Peter J van der Most,Veronique Vitart,Carol A Wang,Gonneke Willemsen,Marek Zygmunt,Thomas U Ahearn,Irene L Andrulis,Hoda Anton-Culver,Antonis C Antoniou,Paul L Auer,Catriona LK Barnes,Matthias W Beckmann,Amy Berrington,Natalia V Bogdanova,Stig E Bojesen,Hermann Brenner,Julie E Buring,Federico Canzian,Jenny Chang-Claude,Fergus J Couch,Angela Cox,Laura Crisponi,Kamila Czene,Mary B Daly,Ellen W Demerath,Joe Dennis,Peter Devilee,Immaculata De Vivo,Thilo Dörk,Alison M Dunning,Miriam Dwek,Johan G Eriksson,Peter A Fasching,Lindsay Fernandez-Rhodes,Liana Ferreli,Olivia Fletcher,Manuela Gago-Dominguez,Montserrat García-Closas,José A García-Sáenz,Anna González-Neira,Harald Grallert,Pascal Guénel,Christopher A Haiman,Per Hall,Ute Hamann,Hakon Hakonarson,Roger J Hart,Martha Hickey,Maartje J Hooning,Reiner Hoppe,John L Hopper,Jouke-Jan Hottenga,Frank B Hu,Hanna Hübner,David J Hunter,Helena Jernström,Esther M John,David Karasik,Elza K Khusnutdinova,Vessela N Kristensen,James V Lacey,Diether Lambrechts,Lenore J Launer,Penelope A Lind,Annika Lindblom,Patrik Ke Magnusson,Arto Mannermaa,Mark I McCarthy,Thomas Meitinger,Cristina Menni,Kyriaki Michailidou,Iona Y Millwood,Roger L Milne,Grant W Montgomery,Heli Nevanlinna,Ilja M Nolte,Dale R Nyholt,Nadia Obi,Katie M O’Brien,Kenneth Offit,Albertine J Oldehinkel,Sisse R Ostrowski,Aarno Palotie,Ole B Pedersen,Annette Peters,Giulia Pianigiani,Dijana Plaseska-Karanfilska,Anneli Pouta,Alfred Pozarickij,Paolo Radice,Gad Rennert,Frits R Rosendaal,Daniela Ruggiero,Emmanouil Saloustros,Dale P Sandler,Sabine Schipf

Journal

medRxiv

Published Date

2023/6/20

Pubertal timing varies considerably and has been associated with a range of health outcomes in later life. To elucidate the underlying biological mechanisms, we performed multi-ancestry genetic analyses in~ 800,000 women, identifying 1,080 independent signals associated with age at menarche. Collectively these loci explained 11% of the trait variance in an independent sample, with women at the top and bottom 1% of polygenic risk exhibiting a~ 11 and~ 14-fold higher risk of delayed and precocious pubertal development, respectively. These common variant analyses were supported by exome sequence analysis of~ 220,000 women, identifying several genes, including rare loss of function variants in ZNF483 which abolished the impact of polygenic risk. Next, we implicated 660 genes in pubertal development using a combination of in silico variant-to-gene mapping approaches and integration with dynamic …

Second primary cancer risks for female and male breast cancer survivors

Authors

Isaac Allen,Tameera Rahman,Andrew Bacon,Craig Knott,Sophie Jose,Sally Vernon,Hend Hassan,Catherine Huntley,Lucy Loong,Yvonne Walburga,Katrina Lavelle,Eva Morris,Steven Hardy,Beth Torr,Diana Eccles,Clare Turnbull,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Journal

Cancer Research

Published Date

2023/4/4

Background: Second primary cancer (SPC) incidence is rising among breast cancer (BC) survivors, but these risks remain unclear. We estimated SPC risks for male and female BC survivors using large-scale electronic health record data from a linkage of National Cancer Registration and Analysis Service data and Hospital Episode Statistics surgical records in England. Material and Methods: We used a retrospective cohort study design comprising 763,578 female and 4,795 male BC survivors first diagnosed with BC between 1995-2018. We calculated overall and site-specific SPC standardized incidence ratios (SIRs) by comparing observed and expected SPC counts for 19 cancer sites. Study participants were followed from one year after the first BC diagnosis until either a SPC diagnosis (excluding ipsilateral breast and non-melanoma skin cancers), death, migration, relevant surgical procedures, or the end of …

Profiling the immune landscape in mucinous ovarian carcinoma

Authors

Nicola S Meagher,Phineas Hamilton,Katy Milne,Shelby Thornton,Bronwyn Harris,Ashley Weir,Jennifer Alsop,Christiani Bisinoto,James D Brenton,Angela Brooks-Wilson,Derek S Chiu,Kara L Cushing-Haugen,Sian Fereday,Dale W Garsed,Simon A Gayther,Aleksandra Gentry-Maharaj,Blake Gilks,Mercedes Jimenez-Linan,Catherine J Kennedy,Nhu D Le,Anna M Piskorz,Marjorie J Riggan,Mitul Shah,Naveena Singh,Aline Talhouk,Martin Widschwendter,David DL Bowtell,Francisco J Candido Dos Reis,Linda S Cook,Renée T Fortner,María J García,Holly R Harris,David G Huntsman,Anthony N Karnezis,Martin Köbel,Usha Menon,Paul DP Pharoah,Jennifer A Doherty,Michael S Anglesio,Malcolm C Pike,Celeste Leigh Pearce,Michael L Friedlander,Anna DeFazio,Brad H Nelson,Susan J Ramus

Journal

Gynecologic oncology

Published Date

2023/1/1

ObjectiveMucinous ovarian carcinoma (MOC) is a rare histotype of ovarian cancer, with low response rates to standard chemotherapy, and very poor survival for patients diagnosed at advanced stage. There is a limited understanding of the MOC immune landscape, and consequently whether immune checkpoint inhibitors could be considered for a subset of patients.MethodsWe performed multicolor immunohistochemistry (IHC) and immunofluorescence (IF) on tissue microarrays in a cohort of 126 MOC patients. Cell densities were calculated in the epithelial and stromal components for tumor-associated macrophages (CD68+/PD-L1+, CD68+/PD-L1-), T cells (CD3+/CD8-, CD3+/CD8+), putative T-regulatory cells (Tregs, FOXP3+), B cells (CD20+/CD79A+), plasma cells (CD20-/CD79a+), and PD-L1+ and PD-1+ cells, and compared these values with clinical factors. Univariate and multivariable Cox Proportional …

Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations

Authors

Minta Thomas,Yu-Ru Su,Elisabeth A Rosenthal,Lori C Sakoda,Stephanie L Schmit,Maria N Timofeeva,Zhishan Chen,Ceres Fernandez-Rozadilla,Philip J Law,Neil Murphy,Robert Carreras-Torres,Virginia Diez-Obrero,Franzel JB Van Duijnhoven,Shangqing Jiang,Aesun Shin,Alicja Wolk,Amanda I Phipps,Andrea Burnett-Hartman,Andrea Gsur,Andrew T Chan,Ann G Zauber,Anna H Wu,Annika Lindblom,Caroline Y Um,Catherine M Tangen,Chris Gignoux,Christina Newton,Christopher A Haiman,Conghui Qu,D Timothy Bishop,Daniel D Buchanan,David R Crosslin,David V Conti,Dong-Hyun Kim,Elizabeth Hauser,Emily White,Erin Siegel,Fredrick R Schumacher,Gad Rennert,Graham G Giles,Heather Hampel,Hermann Brenner,Isao Oze,Jae Hwan Oh,Jeffrey K Lee,Jennifer L Schneider,Jenny Chang-Claude,Jeongseon Kim,Jeroen R Huyghe,Jiayin Zheng,Jochen Hampe,Joel Greenson,John L Hopper,Julie R Palmer,Kala Visvanathan,Keitaro Matsuo,Koichi Matsuda,Keum Ji Jung,Li Li,Loic Le Marchand,Ludmila Vodickova,Luis Bujanda,Marc J Gunter,Marco Matejcic,Mark A Jenkins,Martha L Slattery,Mauro D’amato,Meilin Wang,Michael Hoffmeister,Michael O Woods,Michelle Kim,Mingyang Song,Motoki Iwasaki,Mulong Du,Natalia Udaltsova,Norie Sawada,Pavel Vodicka,Peter T Campbell,Polly A Newcomb,Qiuyin Cai,Rachel Pearlman,Rish K Pai,Robert E Schoen,Robert S Steinfelder,Robert W Haile,Rosita Vandenputtelaar,Ross L Prentice,Sébastien Küry,Sergi Castellví-Bel,Shoichiro Tsugane,Sonja I Berndt,Soo Chin Lee,Stefanie Brezina,Stephanie J Weinstein,Stephen J Chanock,Sun Ha Jee,Sun-Seog Kweon,Susan Vadaparampil,Tabitha A Harrison,Taiki Yamaji,Temitope O Keku,Veronika Vymetalkova,Volker Arndt,Wei-Hua Jia,Xiao-Ou Shu,Yi Lin,Yoon-Ok Ahn,Zsofia K Stadler,Bethany Van Guelpen,Cornelia M Ulrich,Elizabeth A Platz,John D Potter,Christopher I Li,Reinier Meester,Victor Moreno,Jane C Figueiredo,Graham Casey,Iris Lansdorp Vogelaar,Malcolm G Dunlop,Stephen B Gruber,Richard B Hayes,Paul DP Pharoah,Richard S Houlston,Gail P Jarvik,Ian P Tomlinson,Wei Zheng,Douglas A Corley,Ulrike Peters,Li Hsu

Journal

Nature communications

Published Date

2023/10/2

Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US …

Predicted proteome association studies of breast, prostate, ovarian, and endometrial cancers implicate plasma protein regulation in cancer susceptibility

Authors

Isabelle Gregga,Paul DP Pharoah,Simon A Gayther,Ani Manichaikul,Hae Kyung Im,Siddhartha P Kar,Joellen M Schildkraut,Heather E Wheeler

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2023/9/1

Background Predicting protein levels from genotypes for proteome-wide association studies (PWAS) may provide insight into the mechanisms underlying cancer susceptibility. Methods We performed PWAS of breast, endometrial, ovarian, and prostate cancers and their subtypes in several large European-ancestry discovery consortia (effective sample size: 237,483 cases/317,006 controls) and tested the results for replication in an independent European-ancestry GWAS (31,969 cases/410,350 controls). We performed PWAS using the cancer GWAS summary statistics and two sets of plasma protein prediction models, followed by colocalization analysis. Results Using Atherosclerosis Risk in Communities (ARIC) models, we identified 93 protein–cancer associations [false discovery rate (FDR) < 0.05]. We then performed a meta-analysis of the discovery and …

Genetic Determinants of Clonal Hematopoiesis and Progression to Hematologic Malignancies in 479,117 Individuals

Authors

Jie Liu,Duc Tran,Irenaeus CC Chan,Brian Wiley,Caroline Watson,Armel L Batchi-Bouyou,Xiaoyu Zong,Konrad H Stopsack,Paul Pharoah,Li Ding,Jamie R Blundell,Yin Cao,Matthew J Walter,Nilanjan Chatterjee,Kenneth Offit,Lucy Godley,Daniel C Link,Zsofia Stadler,Kelly L Bolton

Journal

Blood

Published Date

2023/11/28

Clonal hematopoiesis (CH), while common with aging, confers a high relative risk of hematologic malignancy (HM). Genome-wide association studies have identified multiple germline predisposition loci for CH but many have an unclear functional role. Here we characterized the contribution of pathogenic/likely pathogenic germline variants (PGVs) to CH and its progression to HM using the UK Biobank (UKBB) as a discovery cohort (N=454,859) with validation in Memorial Sloan Kettering IMPACT and The Cancer Genome Atlas (N=24,258). We profiled whole exome sequencing (WES) for PGVs in 240 cancer predisposition genes.We simultaneously analyzedWES for CH driven by single nucleotide variants/indels and SNP array data for mosaic chromosomal alterations.Overall, 8.9% of individuals in the UKBB harbored PGVs in genes with a dominant inheritance mode (5.2% in HM-related genes). To identify …

Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response

Authors

Robert Carreras-Torres,Andre E Kim,Yi Lin,Virginia Diez-Obrero,Stephanie A Bien,Conghui Qu,Jun Wang,Niki Dimou,Elom K Aglago,Emmanouil Bouras,Peter T Campbell,Graham Casey,Jenny Chang-Claude,David A Drew,Marc Gunter,Kristina M Jordahl,Eric Kawaguchi,Anshul Kundaje,John L Morrison,Neil Murphy,Polly Newcomb,Mireia Obon-Santacana,Nikos Papadimitriou,Anita R Peoples,Edward Ruiz-Narvaez,Anna Shcherbina,Mariana C Stern,Yu-Ru Su,Yu Tian,Konstantinos K Tsilidis,Franzel JB van Duijnhoven,Li Hsu,Ulrike Peters,Victor Moreno,W James Gauderman

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2024/1/1

Background Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. Methods A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. Results Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10−8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20–1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × …

Germline mismatch repair (MMR) gene analyses from English NHS regional molecular genomics laboratories 1996–2020: development of a national resource of patient-level genomics …

Authors

Lucy Loong,Catherine Huntley,Fiona McRonald,Francesco Santaniello,Joanna Pethick,Bethany Torr,Sophie Allen,Oliver Tulloch,Shilpi Goel,Brian Shand,Tameera Rahman,Margreet Luchtenborg,Alice Garrett,Richard Barber,Tina Bedenham,David Bourn,Kirsty Bradshaw,Claire Brooks,Jonathan Bruty,George J Burghel,Samantha Butler,Chris Buxton,Alison Callaway,Jonathan Callaway,James Drummond,Miranda Durkie,Joanne Field,Lucy Jenkins,Terri P McVeigh,Roger Mountford,Rodney Nyanhete,Evgenia Petrides,Rachel Robinson,Tracy Scott,Victoria Stinton,James Tellez,Andrew J Wallace,Laura Yarram-Smith,Kate Sahan,Nina Hallowell,Diana M Eccles,Paul Pharoah,Marc Tischkowitz,Antonis C Antoniou,D Gareth Evans,Fiona Lalloo,Gail Norbury,Eva Morris,John Burn,Steven Hardy,Clare Turnbull

Journal

Journal of Medical Genetics

Published Date

2023/7/1

ObjectiveTo describe national patterns of National Health Service (NHS) analysis of mismatch repair (MMR) genes in England using individual-level data submitted to the National Disease Registration Service (NDRS) by the NHS regional molecular genetics laboratories.DesignLaboratories submitted individual-level patient data to NDRS against a prescribed data model, including (1) patient identifiers, (2) test episode data, (3) per-gene results and (4) detected sequence variants. Individualised per-laboratory algorithms were designed and applied in NDRS to extract and map the data to the common data model. Laboratory-level MMR activity audit data from the Clinical Molecular Genetics Society/Association of Clinical Genomic Science were used to assess early years’ missing data.ResultsIndividual-level data from patients undergoing NHS MMR germline genetic testing were submitted from all 13 English …

Evaluation and comparison of different breast cancer prognosis scores based on gene expression data

Authors

Avirup Chowdhury,Paul D Pharoah,Oscar M Rueda

Journal

Breast Cancer Research

Published Date

2023/2/8

BackgroundBreast cancer is one of the three most common cancers worldwide and is the most common malignancy in women. Treatment approaches for breast cancer are diverse and varied. Clinicians must balance risks and benefits when deciding treatments, and models have been developed to support this decision-making. Genomic risk scores (GRSs) may offer greater clinical value than standard clinicopathological models, but there is limited evidence as to whether these models perform better than the current clinical standard of care.MethodsPREDICT and GRSs were adapted using data from the original papers. Univariable Cox proportional hazards models were produced with breast cancer-specific survival (BCSS) as the outcome. Independent predictors of BCSS were used to build multivariable models with PREDICT. Signatures which provided independent prognostic information in multivariable models …

Long-term health outcomes of bilateral salpingo-oophorectomy in women with personal history of breast cancer

Authors

Hend Hassan,Tameera Rahman,Andrew Bacon,Craig Knott,Isaac Allen,Catherine Huntley,Lucy Loong,Yvonne Walburga,Katrina Lavelle,Eva Morris,Steven Hardy,Bethany Torr,Diana M Eccles,Clare Turnbull,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Journal

Cancer Research

Published Date

2023/4/4

Introduction: Breast cancer is the most common cancer in women. Women with personal history of breast cancer are at increased risk of second primary cancers including ovarian cancer. Bilateral salpingo-oophorectomy (BSO) is a well-established option for ovarian cancer risk reduction. However, the benefit of ovarian cancer risk reduction should be balanced against the health sequelae caused by the premature estrogen loss. We examined the associations between BSO after breast cancer diagnosis and long-term health outcomes, using large-scale linked electronic health records. Methods: We selected women diagnosed with invasive breast cancer before the age of 75 between 1995 and 2019 using data from the National Cancer Registration Dataset (NCRD), which describes all cancers registered in England. These women were linked to the Hospital Episode Statistics (HES) Admitted Patient Care (APC …

Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions

Authors

Sara Lindström,Lu Wang,Helian Feng,Arunabha Majumdar,Sijia Huo,James Macdonald,Tabitha Harrison,Constance Turman,Hongjie Chen,Nicholas Mancuso,Theo Bammler,Breast Cancer Association Consortium (BCAC),Steve Gallinger,Stephen B Gruber,Marc J Gunter,Loic Le Marchand,Victor Moreno,Kenneth Offit,Colorectal Transdisciplinary Study (CORECT),Colon Cancer Family Registry Study (CCFR),Genetics And Epidemiology Of Colorectal Cancer Consortium (GECCO),Immaculata De Vivo,Tracy A O’Mara,Amanda B Spurdle,Ian Tomlinson,Endometrial Cancer Association Consortium (ECAC),Rebecca Fitzgerald,Puya Gharahkhani,Ines Gockel,Janusz Jankowski,Stuart Macgregor,Johannes Schumacher,Jill Barnholtz-Sloan,Melissa L Bondy,Richard S Houlston,Robert B Jenkins,Beatrice Melin,Margaret Wrensch,Paul Brennan,David C Christiani,Mattias Johansson,James Mckay,Melinda C Aldrich,Christopher I Amos,Maria Teresa Landi,Adonina Tardon,International Lung Cancer Consortium (ILCCO),D Timothy Bishop,Florence Demenais,Alisa M Goldstein,Mark M Iles,Peter A Kanetsky,Matthew H Law,Ovarian Cancer Association Consortium (OCAC),Laufey T Amundadottir,Rachael Stolzenberg-Solomon,Brian M Wolpin,Pancreatic Cancer Cohort Consortium (Panscan),Alison Klein,Gloria Petersen,Harvey Risch,Pancreatic Cancer Case-Control Consortium (Panc4),The PRACTICAL Consortium,Stephen J Chanock,Mark P Purdue,Ghislaine Scelo,Paul Pharoah,Siddhartha Kar,Rayjean J Hung,Bogdan Pasaniuc,Peter Kraft

Journal

JNCI: Journal of the National Cancer Institute

Published Date

2023/6/1

Background The shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci. Methods We collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified …

Gene-expression profiling of mucinous ovarian tumors and comparison with upper and lower gastrointestinal tumors identifies markers associated with adverse outcomes

Authors

Nicola S Meagher,Kylie L Gorringe,Matthew Wakefield,Adelyn Bolithon,Chi Nam Ignatius Pang,Derek S Chiu,Michael S Anglesio,Kylie-Ann Mallitt,Jennifer A Doherty,Holly R Harris,Joellen M Schildkraut,Andrew Berchuck,Kara L Cushing-Haugen,Ksenia Chezar,Angela Chou,Adeline Tan,Jennifer Alsop,Ellen Barlow,Matthias W Beckmann,Jessica Boros,David DL Bowtell,AOCS Group,Alison H Brand,James D Brenton,Ian Campbell,Dane Cheasley,Joshua Cohen,Cezary Cybulski,Esther Elishaev,Ramona Erber,Rhonda Farrell,Anna Fischer,Zhuxuan Fu,Blake Gilks,Anthony J Gill,Australian Pancreatic Genome Initiative,Charlie Gourley,Marcel Grube,Paul R Harnett,Arndt Hartmann,Anusha Hettiaratchi,Claus K Høgdall,Tomasz Huzarski,Anna Jakubowska,Mercedes Jimenez-Linan,Catherine J Kennedy,Byoung-Gie Kim,Jae-Weon Kim,Jae-Hoon Kim,Kayla Klett,Jennifer M Koziak,Tiffany Lai,Angela Laslavic,Jenny Lester,Yee Leung,Na Li,Winston Liauw,Belle WX Lim,Anna Linder,Jan Lubiński,Sakshi Mahale,Constantina Mateoiu,Simone McInerny,Janusz Menkiszak,Parham Minoo,Suzana Mittelstadt,David Morris,Sandra Orsulic,Sang-Yoon Park,Celeste Leigh Pearce,John V Pearson,Malcolm C Pike,Carmel M Quinn,Ganendra Raj Mohan,Jianyu Rao,Marjorie J Riggan,Matthias Ruebner,Stuart Salfinger,Clare L Scott,Mitul Shah,Helen Steed,Colin JR Stewart,Deepak Subramanian,Soseul Sung,Katrina Tang,Paul Timpson,Robyn L Ward,Rebekka Wiedenhoefer,Heather Thorne,kConFab Investigators,Paul A Cohen,Philip Crowe,Peter A Fasching,Jacek Gronwald,Nicholas J Hawkins,Estrid Høgdall,David G Huntsman,Paul A James,Beth Y Karlan,Linda E Kelemen,Stefan Kommoss,Gottfried E Konecny,Francesmary Modugno,Sue K Park,Annette Staebler,Karin Sundfeldt,Anna H Wu,Aline Talhouk,Paul DP Pharoah,Lyndal Anderson,Anna DeFazio,Martin Köbel,Michael L Friedlander,Susan J Ramus

Journal

Clinical Cancer Research

Published Date

2022/12/15

Purpose Advanced-stage mucinous ovarian carcinoma (MOC) has poor chemotherapy response and prognosis and lacks biomarkers to aid stage I adjuvant treatment. Differentiating primary MOC from gastrointestinal (GI) metastases to the ovary is also challenging due to phenotypic similarities. Clinicopathologic and gene-expression data were analyzed to identify prognostic and diagnostic features. Experimental Design Discovery analyses selected 19 genes with prognostic/diagnostic potential. Validation was performed through the Ovarian Tumor Tissue Analysis consortium and GI cancer biobanks comprising 604 patients with MOC (n = 333), mucinous borderline ovarian tumors (MBOT, n = 151), and upper GI (n = 65) and lower GI tumors (n = 55). Results Infiltrative pattern of invasion was associated with decreased overall survival (OS) within 2 years …

Improving on polygenic scores across complex traits using select and shrink with summary statistics

Authors

JP Tyrer,P Peng,AA DeVries,SA Gayther,MR Jones,PD Pharoah

Journal

medRxiv

Published Date

2022/9/17

Structured AbstractMotivationAs precision medicine advances, polygenic scores (PGS) have become increasingly important for clinical risk assessment. Many methods have been developed to create polygenic models with increased accuracy for risk prediction. Our select and shrink with summary statistics (S4) PGS method extends a previous method (polygenic risk score – continuous shrinkage (PRS-CS)) by using a continuous shrinkage prior on effect sizes with a selection strategy for including SNPs to create the best performing model.ResultsThe S4 method provides overall improved PGS accuracy for UK Biobank participants when compared to LDpred2 and PRS-CS across a variety of phenotypes with differing genetic architectures. Additionally, the S4 method has higher estimated PGS accuracy over LDpred2 in Finnish and Japanese populations. Thus, the S4 method represents an improvement in overall PGS accuracy across multiple phenotypes and increases the transferability of PGS across ancestries.Availability and ImplementationThe S4 program is freely available at https://github.com/jpt34/S4_programs.Supplementary informationSupplementary data [will be] available at Bioinformatics online.

Genetically-proxied anti-diabetic drug target perturbation and risk of cancer: a Mendelian randomization analysis

Authors

James Yarmolinsky,Emmanouil Bouras,Andrei Constantinescu,Kimberley Burrows,Caroline J Bull,Emma E Vincent,Richard M Martin,Olympia Dimopoulou,Sarah J Lewis,Victor Moreno,Marijana Vujkovic,Kyong-Mi Chang,Benjamin F Voight,Philip S Tsao,Marc J Gunter,Jochen Hampe,Annika Lindblom,Andrew J Pellatt,Paul DP Pharoah,Robert E Schoen,Steven Gallinger,Mark A Jenkins,Rish K Pai,PRACTICAL consortium,VA Million Veteran Program,Dipender Gill,Kostas K Tsilidis

Journal

medRxiv

Published Date

2022/10/26

Aims/hypothesisEpidemiological studies have generated conflicting findings on the relationship between anti-diabetic medication use and cancer risk. Naturally occurring variation in genes encoding anti-diabetic drug targets can be used to investigate the effect of their pharmacological perturbation on cancer risk.MethodsWe developed genetic instruments for three anti-diabetic drug targets (peroxisome proliferator activated receptor gamma, PPARG; sulfonylurea receptor 1, ABCC8; glucagon-like peptide 1 receptor, GLP1R) using summary genetic association data from a genome-wide association study (GWAS) of type 2 diabetes in 69,869 cases and 127,197 controls in the Million Veteran Program. Genetic instruments were constructed using cis-acting genome-wide significant (P<5×10−8) single-nucleotide polymorphisms (SNPs) permitted to be in weak linkage disequilibrium (r2<0.20). Summary genetic association estimates for these SNPs were obtained from GWAS consortia for the following cancers: breast (122,977 cases, 105,974 controls), colorectal (58,221 cases, 67,694 controls), prostate (79,148 cases, 61,106 controls), and overall (i.e. site-combined) cancer (27,483 cases, 372,016 controls). Inverse-variance weighted random-effects models adjusting for linkage disequilibrium were employed to estimate causal associations between genetically-proxied drug target perturbation and cancer risk. Colocalisation analysis was employed to examine robustness of findings to violations of Mendelian randomization (MR) assumptions. A Bonferroni correction was employed as a heuristic to define associations from MR analyses as “strong” and …

Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Authors

Thomas U Ahearn,Haoyu Zhang,Kyriaki Michailidou,Roger L Milne,Manjeet K Bolla,Joe Dennis,Alison M Dunning,Michael Lush,Qin Wang,Irene L Andrulis,Hoda Anton-Culver,Volker Arndt,Kristan J Aronson,Paul L Auer,Annelie Augustinsson,Adinda Baten,Heiko Becher,Sabine Behrens,Javier Benitez,Marina Bermisheva,Carl Blomqvist,Stig E Bojesen,Bernardo Bonanni,Anne-Lise Børresen-Dale,Hiltrud Brauch,Hermann Brenner,Angela Brooks-Wilson,Thomas Brüning,Barbara Burwinkel,Saundra S Buys,Federico Canzian,Jose E Castelao,Jenny Chang-Claude,Stephen J Chanock,Georgia Chenevix-Trench,Christine L Clarke,J Margriet Collée,Angela Cox,Simon S Cross,Kamila Czene,Mary B Daly,Peter Devilee,Thilo Dörk,Miriam Dwek,Diana M Eccles,D Gareth Evans,Peter A Fasching,Jonine Figueroa,Giuseppe Floris,Manuela Gago-Dominguez,Susan M Gapstur,José A García-Sáenz,Mia M Gaudet,Graham G Giles,Mark S Goldberg,Anna González-Neira,Grethe I Grenaker Alnæs,Mervi Grip,Pascal Guénel,Christopher A Haiman,Per Hall,Ute Hamann,Elaine F Harkness,Bernadette AM Heemskerk-Gerritsen,Bernd Holleczek,Antoinette Hollestelle,Maartje J Hooning,Robert N Hoover,John L Hopper,Anthony Howell,kConFab/AOCS Investigators Stephen Fox Ian Campbell David Bowtell Georgia Chenevix-Trench Amanda Spurdle Penny Webb Anna de Fazio Margaret Tassell Judy Kirk Geoff Lindeman Melanie Price Melissa Southey Roger Milne Sid Deb,Milena Jakimovska,Anna Jakubowska,Esther M John,Michael E Jones,Audrey Jung,Rudolf Kaaks,Saila Kauppila,Renske Keeman,Elza Khusnutdinova,Cari M Kitahara,Yon-Dschun Ko,Stella Koutros,Vessela N Kristensen,Ute Krüger,Katerina Kubelka-Sabit,Allison W Kurian,Kyriacos Kyriacou,Diether Lambrechts,Derrick G Lee,Annika Lindblom,Martha Linet,Jolanta Lissowska,Ana Llaneza,Wing-Yee Lo,Robert J MacInnis,Arto Mannermaa,Mehdi Manoochehri,Sara Margolin,Maria Elena Martinez,Catriona McLean,Alfons Meindl,Usha Menon,Heli Nevanlinna,William G Newman,Jesse Nodora,Kenneth Offit,Håkan Olsson,Nick Orr,Tjoung-Won Park-Simon,Alpa V Patel,Julian Peto,Guillermo Pita,Dijana Plaseska-Karanfilska,Ross Prentice,Kevin Punie,Katri Pylkäs,Paolo Radice,Gad Rennert,Atocha Romero,Thomas Rüdiger,Emmanouil Saloustros,Sarah Sampson,Dale P Sandler,Elinor J Sawyer,Rita K Schmutzler,Minouk J Schoemaker,Ben Schöttker,Mark E Sherman,Xiao-Ou Shu,Snezhana Smichkoska,Melissa C Southey,John J Spinelli,Anthony J Swerdlow,Rulla M Tamimi,William J Tapper,Jack A Taylor,Lauren R Teras,Mary Beth Terry,Diana Torres,Melissa A Troester,Celine M Vachon,Carolien HM van Deurzen,Elke M van Veen,Philippe Wagner,Clarice R Weinberg,Camilla Wendt,Jelle Wesseling

Journal

Breast Cancer Research

Published Date

2022/12

Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor …

Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

Authors

Hongjie Chen,Shaoqi Fan,Jennifer Stone,Deborah J Thompson,Julie Douglas,Shuai Li,Christopher Scott,Manjeet K Bolla,Qin Wang,Joe Dennis,Kyriaki Michailidou,Christopher Li,Ulrike Peters,John L Hopper,Melissa C Southey,Tu Nguyen-Dumont,Tuong L Nguyen,Peter A Fasching,Annika Behrens,Gemma Cadby,Rachel A Murphy,Kristan Aronson,Anthony Howell,Susan Astley,Fergus Couch,Janet Olson,Roger L Milne,Graham G Giles,Christopher A Haiman,Gertraud Maskarinec,Stacey Winham,Esther M John,Allison Kurian,Heather Eliassen,Irene Andrulis,D Gareth Evans,William G Newman,Per Hall,Kamila Czene,Anthony Swerdlow,Michael Jones,Marina Pollan,Pablo Fernandez-Navarro,Daniel S McConnell,Vessela N Kristensen,NBCS Investigators,Joseph H Rothstein,Pei Wang,Laurel A Habel,Weiva Sieh,Alison M Dunning,Paul DP Pharoah,Douglas F Easton,Gretchen L Gierach,Rulla M Tamimi,Celine M Vachon,Sara Lindström

Journal

Breast Cancer Research

Published Date

2022/4/12

BackgroundMammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However, only a small proportion of their variance is explained by identified genetic variants. MethodsWe conducted a genome-wide association study, as well as a transcriptome-wide association study (TWAS), of age- and BMI-adjusted DA, NDA, and PMD in up to 27,900 European-ancestry women from the MODE/BCAC consortia. ResultsWe identified 28 genome-wide significant loci for MD phenotypes, including nine novel signals (5q11.2, 5q14.1, 5q31.1, 5q33.3, 5q35.1, 7p11.2, 8q24.13, 12p11.2, 16q12.2). Further, 45% of all known breast cancer SNPs were associated with at least one MD phenotype at p < 0.05. TWAS further identified two novel genes …

Germline BRCA variants, lifestyle and ovarian cancer survival

Authors

Kate Gersekowski,Rachel Delahunty,Kathryn Alsop,Ellen L Goode,Julie M Cunningham,Stacey J Winham,Paul Pharoah,Honglin Song,Susan Jordan,Sian Fereday,Anna DeFazio,Michael Friedlander,Andreas Obermair,Penelope M Webb,OPAL Study Group,AOCS Group

Journal

Gynecologic oncology

Published Date

2022/6/1

ObjectiveWomen with ovarian cancer who have a pathogenic germline variant in BRCA1 or BRCA2 (BRCA) have been shown to have better 5-year survival after diagnosis than women who are BRCA-wildtype (non-carriers). Modifiable lifestyle factors, including smoking, physical activity and body mass index (BMI) have previously been associated with ovarian cancer survival; however, it is unknown whether these associations differ by germline BRCA status.MethodsWe investigated measures of lifestyle prior to diagnosis in two cohorts of Australian women with invasive epithelial ovarian cancer, using Cox proportional hazards regression to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsIn the combined studies (n = 1923), there was little association between physical activity, BMI or alcohol intake and survival, and no difference by BRCA status. However, the association between …

Risk-adjusted cancer screening and prevention (RiskAP): complementing screening for early disease detection by a learning screening based on risk factors

Authors

Rita K Schmutzler,Björn Schmitz-Luhn,Bettina Borisch,Peter Devilee,Diana Eccles,Per Hall,Judith Balmaña,Stefania Boccia,Peter Dabrock,Günter Emons,Wolfgang Gaissmaier,Jacek Gronwald,Stefanie Houwaart,Stefan Huster,Karin Kast,Alexander Katalinic,Sabine C Linn,Sowmiya Moorthie,Paul Pharoah,Kerstin Rhiem,Tade Spranger,Dominique Stoppa-Lyonnet,Johannes Jozef Marten Van Delden,Marc Van Den Bulcke,Christiane Woopen

Published Date

2022/8/12

Background: Risk-adjusted cancer screening and prevention is a promising and continuously emerging option for improving cancer prevention. It is driven by increasing knowledge of risk factors and the ability to determine them for individual risk prediction. However, there is a knowledge gap between evidence of increased risk and evidence of the effectiveness and efficiency of clinical preventive interventions based on increased risk. This gap is, in particular, aggravated by the extensive availability of genetic risk factor diagnostics, since the question of appropriate preventive measures immediately arises when an increased risk is identified. However, collecting proof of effective preventive measures, ideally by prospective randomized preventive studies, typically requires very long periods of time, while the knowledge about an increased risk immediately creates a high demand for action …

The genomic and immune landscape of long-term survivors of high-grade serous ovarian cancer

Authors

Dale W Garsed,Ahwan Pandey,Sian Fereday,Catherine J Kennedy,Kazuaki Takahashi,Kathryn Alsop,Phineas T Hamilton,Joy Hendley,Yoke-Eng Chiew,Nadia Traficante,Pamela Provan,Dinuka Ariyaratne,George Au-Yeung,Nicholas W Bateman,Leanne Bowes,Alison Brand,Elizabeth L Christie,Julie M Cunningham,Michael Friedlander,Bronwyn Grout,Paul Harnett,Jillian Hung,Bryan McCauley,Orla McNally,Anna M Piskorz,Flurina AM Saner,Robert A Vierkant,Chen Wang,Stacey J Winham,Paul DP Pharoah,James D Brenton,Thomas P Conrads,George L Maxwell,Susan J Ramus,Celeste Leigh Pearce,Malcolm C Pike,Brad H Nelson,Ellen L Goode,Anna DeFazio,David DL Bowtell

Journal

Nature genetics

Published Date

2022/12

Fewer than half of all patients with advanced-stage high-grade serous ovarian cancers (HGSCs) survive more than five years after diagnosis, but those who have an exceptionally long survival could provide insights into tumor biology and therapeutic approaches. We analyzed 60 patients with advanced-stage HGSC who survived more than 10 years after diagnosis using whole-genome sequencing, transcriptome and methylome profiling of their primary tumor samples, comparing this data to 66 short- or moderate-term survivors. Tumors of long-term survivors were more likely to have multiple alterations in genes associated with DNA repair and more frequent somatic variants resulting in an increased predicted neoantigen load. Patients clustered into survival groups based on genomic and immune cell signatures, including three subsets of patients with BRCA1 alterations with distinctly different outcomes. Specific …

Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach

Authors

Weang-Kee Ho,Mei-Chee Tai,Joe Dennis,Xiang Shu,Jingmei Li,Peh Joo Ho,Iona Y Millwood,Kuang Lin,Yon-Ho Jee,Su-Hyun Lee,Nasim Mavaddat,Manjeet K Bolla,Qin Wang,Kyriaki Michailidou,Jirong Long,Eldarina Azfar Wijaya,Tiara Hassan,Kartini Rahmat,Veronique Kiak Mien Tan,Benita Kiat Tee Tan,Su Ming Tan,Ern Yu Tan,Swee Ho Lim,Yu-Tang Gao,Ying Zheng,Daehee Kang,Ji-Yeob Choi,Wonshik Han,Han-Byoel Lee,Michiki Kubo,Yukinori Okada,Shinichi Namba,Sue K Park,Sung-Won Kim,Chen-Yang Shen,Pei-Ei Wu,Boyoung Park,Kenneth R Muir,Artitaya Lophatananon,Anna H Wu,Chiu-Chen Tseng,Keitaro Matsuo,Hidemi Ito,Ava Kwong,Tsun L Chan,Esther M John,Allison W Kurian,Motoki Iwasaki,Taiki Yamaji,Sun-Seog Kweon,Kristan J Aronson,Rachel A Murphy,Woon-Puay Koh,Chiea-Chuen Khor,Jian-Min Yuan,Rajkumar Dorajoo,Robin G Walters,Zhengming Chen,Liming Li,Jun Lv,Keum-Ji Jung,Peter Kraft,Paul DB Pharoah,Alison M Dunning,Jacques Simard,Xiao-Ou Shu,Cheng-Har Yip,Nur Aishah Mohd Taib,Antonis C Antoniou,Wei Zheng,Mikael Hartman,Douglas F Easton,Soo-Hwang Teo,BioBank Japan Project

Journal

Genetics in Medicine

Published Date

2022/3/1

PurposeNon-European populations are under-represented in genetics studies, hindering clinical implementation of breast cancer polygenic risk scores (PRSs). We aimed to develop PRSs using the largest available studies of Asian ancestry and to assess the transferability of PRS across ethnic subgroups.MethodsThe development data set comprised 138,309 women from 17 case-control studies. PRSs were generated using a clumping and thresholding method, lasso penalized regression, an Empirical Bayes approach, a Bayesian polygenic prediction approach, or linear combinations of multiple PRSs. These PRSs were evaluated in 89,898 women from 3 prospective studies (1592 incident cases).ResultsThe best performing PRS (genome-wide set of single-nucleotide variations [formerly single-nucleotide polymorphism]) had a hazard ratio per unit SD of 1.62 (95% CI = 1.46-1.80) and an area under the receiver …

PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in~ 200,000 patients

Authors

Daniele Giardiello,Maartje J Hooning,Michael Hauptmann,Renske Keeman,Bernadette AM Heemskerk-Gerritsen,Heiko Becher,Carl Blomqvist,Stig E Bojesen,Manjeet K Bolla,Nicola J Camp,Kamila Czene,Peter Devilee,Diana M Eccles,Peter A Fasching,Jonine D Figueroa,Henrik Flyger,Montserrat García-Closas,Christopher A Haiman,Ute Hamann,John L Hopper,Anna Jakubowska,Floor E Leeuwen,Annika Lindblom,Jan Lubiński,Sara Margolin,Maria Elena Martinez,Heli Nevanlinna,Ines Nevelsteen,Saskia Pelders,Paul DP Pharoah,Sabine Siesling,Melissa C Southey,Annemieke H van der Hout,Liselotte P van Hest,Jenny Chang-Claude,Per Hall,Douglas F Easton,Ewout W Steyerberg,Marjanka K Schmidt

Journal

Breast cancer research

Published Date

2022/10/21

BackgroundPrediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors.MethodsWe included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC …

Molecular subclasses of clear cell ovarian carcinoma and their impact on disease behavior and outcomes

Authors

Kelly L Bolton,Denise Chen,Rosario Corona de la Fuente,Zhuxuan Fu,Rajmohan Murali,Martin Köbel,Yanis Tazi,Julie M Cunningham,Irenaeus CC Chan,Brian J Wiley,Lea A Moukarzel,Stacey J Winham,Sebastian M Armasu,Jenny Lester,Esther Elishaev,Angela Laslavic,Catherine J Kennedy,Anna Piskorz,Magdalena Sekowska,Alison H Brand,Yoke-Eng Chiew,Paul Pharoah,Kevin M Elias,Ronny Drapkin,Michael Churchman,Charlie Gourley,Anna DeFazio,Beth Karlan,James D Brenton,Britta Weigelt,Michael S Anglesio,David Huntsman,Simon Gayther,Jason Konner,Francesmary Modugno,Kate Lawrenson,Ellen L Goode,Elli Papaemmanuil

Journal

Clinical Cancer Research

Published Date

2022/11/14

Purpose To identify molecular subclasses of clear cell ovarian carcinoma (CCOC) and assess their impact on clinical presentation and outcomes. Experimental Design We profiled 421 primary CCOCs that passed quality control using a targeted deep sequencing panel of 163 putative CCOC driver genes and whole transcriptome sequencing of 211 of these tumors. Molecularly defined subgroups were identified and tested for association with clinical characteristics and overall survival. Results We detected a putative somatic driver mutation in at least one candidate gene in 95% (401/421) of CCOC tumors including ARID1A (in 49% of tumors), PIK3CA (49%), TERT (20%), and TP53 (16%). Clustering of cancer driver mutations and RNA expression converged upon two distinct subclasses of CCOC. The first was dominated by ARID1A-mutated tumors with …

A genome-wide gene-based gene–environment interaction study of breast cancer in more than 90,000 women

Authors

Xiaoliang Wang,Hongjie Chen,Pooja Middha Kapoor,Yu-Ru Su,Manjeet K Bolla,Joe Dennis,Alison M Dunning,Michael Lush,Qin Wang,Kyriaki Michailidou,Paul DP Pharoah,John L Hopper,Melissa C Southey,Stella Koutros,Laura E Beane Freeman,Jennifer Stone,Gad Rennert,Rana Shibli,Rachel A Murphy,Kristan Aronson,Pascal Guénel,Thérèse Truong,Lauren R Teras,James M Hodge,Federico Canzian,Rudolf Kaaks,Hermann Brenner,Volker Arndt,Reiner Hoppe,Wing-Yee Lo,Sabine Behrens,Arto Mannermaa,Veli-Matti Kosma,Audrey Jung,Heiko Becher,Graham G Giles,Christopher A Haiman,Gertraud Maskarinec,Christopher Scott,Stacey Winham,Jacques Simard,Mark S Goldberg,Wei Zheng,Jirong Long,Melissa A Troester,Michael I Love,Cheng Peng,Rulla Tamimi,Heather Eliassen,Montserrat García-Closas,Jonine Figueroa,Thomas Ahearn,Rose Yang,D Gareth Evans,Anthony Howell,Per Hall,Kamila Czene,Alicja Wolk,Dale P Sandler,Jack A Taylor,Anthony J Swerdlow,Nick Orr,James V Lacey,Sophia Wang,Håkan Olsson,Douglas F Easton,Roger L Milne,Li Hsu,Peter Kraft,Jenny Chang-Claude,Sara Lindström

Journal

Cancer research communications

Published Date

2022/4/8

Genome-wide association studies (GWAS) have identified more than 200 susceptibility loci for breast cancer, but these variants explain less than a fifth of the disease risk. Although gene–environment interactions have been proposed to account for some of the remaining heritability, few studies have empirically assessed this. We obtained genotype and risk factor data from 46,060 cases and 47,929 controls of European ancestry from population-based studies within the Breast Cancer Association Consortium (BCAC). We built gene expression prediction models for 4,864 genes with a significant (P < 0.01) heritable component using the transcriptome and genotype data from the Genotype-Tissue Expression (GTEx) project. We leveraged predicted gene expression information to investigate the interactions between gene-centric genetic variation and 14 established risk factors in association with breast cancer risk …

Large-scale integrated analysis of genetics and metabolomic data reveals potential links between lipids and colorectal cancer risk

Authors

Xiang Shu,Zhishan Chen,Jirong Long,Xingyi Guo,Yaohua Yang,Conghui Qu,Yoon-Ok Ahn,Qiuyin Cai,Graham Casey,Stephen B Gruber,Jeroen R Huyghe,Sun Ha Jee,Mark A Jenkins,Wei-Hua Jia,Keum Ji Jung,Yoichiro Kamatani,Dong-Hyun Kim,Jeongseon Kim,Sun-Seog Kweon,Loic Le Marchand,Koichi Matsuda,Keitaro Matsuo,Polly A Newcomb,Jae Hwan Oh,Jennifer Ose,Isao Oze,Rish K Pai,Zhi-Zhong Pan,Paul DP Pharoah,Mary C Playdon,Ze-Fang Ren,Robert E Schoen,Aesun Shin,Min-Ho Shin,Xiao-Ou Shu,Xiaohui Sun,Catherine M Tangen,Chizu Tanikawa,Cornelia M Ulrich,Franzel JB van Duijnhoven,Bethany Van Guelpen,Alicja Wolk,Michael O Woods,Anna H Wu,Ulrike Peters,Wei Zheng

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2022/6/1

Background The etiology of colorectal cancer is not fully understood. Methods Using genetic variants and metabolomics data including 217 metabolites from the Framingham Heart Study (n = 1,357), we built genetic prediction models for circulating metabolites. Models with prediction R2 > 0.01 (Nmetabolite = 58) were applied to predict levels of metabolites in two large consortia with a combined sample size of approximately 46,300 cases and 59,200 controls of European and approximately 21,700 cases and 47,400 controls of East Asian (EA) descent. Genetically predicted levels of metabolites were evaluated for their associations with colorectal cancer risk in logistic regressions within each racial group, after which the results were combined by meta-analysis. Results Of the 58 metabolites tested, 24 metabolites were significantly associated with colorectal …

Uncovering the contribution of moderate-penetrance susceptibility genes to breast cancer by whole-exome sequencing and targeted enrichment sequencing of candidate genes in …

Authors

Martine Dumont,Nana Weber-Lassalle,Charles Joly-Beauparlant,Corinna Ernst,Arnaud Droit,Bing-Jian Feng,Stéphane Dubois,Annie-Claude Collin-Deschesnes,Penny Soucy,Maxime Vallée,Frédéric Fournier,Audrey Lemaçon,Muriel A Adank,Jamie Allen,Janine Altmüller,Norbert Arnold,Margreet GEM Ausems,Riccardo Berutti,Manjeet K Bolla,Shelley Bull,Sara Carvalho,Sten Cornelissen,Michael R Dufault,Alison M Dunning,Christoph Engel,Andrea Gehrig,Willemina RR Geurts-Giele,Christian Gieger,Jessica Green,Karl Hackmann,Mohamed Helmy,Julia Hentschel,Frans BL Hogervorst,Antoinette Hollestelle,Maartje J Hooning,Judit Horváth,M Arfan Ikram,Silke Kaulfuß,Renske Keeman,Da Kuang,Craig Luccarini,Wolfgang Maier,John WM Martens,Dieter Niederacher,Peter Nürnberg,Claus-Eric Ott,Annette Peters,Paul DP Pharoah,Alfredo Ramirez,Juliane Ramser,Steffi Riedel-Heller,Gunnar Schmidt,Mitul Shah,Martin Scherer,Antje Stäbler,Tim M Strom,Christian Sutter,Holger Thiele,Christi J van Asperen,Lizet van der Kolk,Rob B van der Luijt,Alexander E Volk,Michael Wagner,Quinten Waisfisz,Qin Wang,Shan Wang-Gohrke,Bernhard HF Weber,Genome of the Netherlands Project,GHS Study Group,Peter Devilee,Sean Tavtigian,Gary D Bader,Alfons Meindl,David E Goldgar,Irene L Andrulis,Rita K Schmutzler,Douglas F Easton,Marjanka K Schmidt,Eric Hahnen,Jacques Simard

Journal

Cancers

Published Date

2022/7/11

Simple Summary Genetic variants explaining approximately 40% of familial breast cancer risk have been identified, thus leaving a significant fraction of the heritability of this disease still unexplained. The exact nature of this missing fraction is unknown; more extensive sequencing efforts could potentially identify new moderate-penetrance breast cancer risk alleles. The aim of this study was to perform a large-scale whole-exome sequencing study, followed by a targeted validation, in breast cancer patients and healthy women of European descent. We identified 20 novel genes with modest evidence of association (p-value < 0.05) for either overall or subtype-specific breast cancer; however, much larger studies are needed to confirm the exact role of these genes in susceptibility to breast cancer. Abstract Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation …

Genome-and transcriptome-wide association studies of 386,000 Asian and European-ancestry women provide new insights into breast cancer genetics

Authors

Guochong Jia,Jie Ping,Xiang Shu,Yaohua Yang,Qiuyin Cai,Sun-Seog Kweon,Ji-Yeob Choi,Michiaki Kubo,Sue K Park,Manjeet K Bolla,Joe Dennis,Qin Wang,Xingyi Guo,Bingshan Li,Ran Tao,Kristan J Aronson,Tsun L Chan,Yu-Tang Gao,Mikael Hartman,Weang Kee Ho,Hidemi Ito,Motoki Iwasaki,Hiroji Iwata,Esther M John,Yoshio Kasuga,Mi-Kyung Kim,Allison W Kurian,Ava Kwong,Jingmei Li,Artitaya Lophatananon,Siew-Kee Low,Shivaani Mariapun,Koichi Matsuda,Keitaro Matsuo,Kenneth Muir,Dong-Young Noh,Boyoung Park,Min-Ho Park,Chen-Yang Shen,Min-Ho Shin,John J Spinelli,Atsushi Takahashi,Chiuchen Tseng,Shoichiro Tsugane,Anna H Wu,Taiki Yamaji,Ying Zheng,Alison M Dunning,Paul DP Pharoah,Soo-Hwang Teo,Daehee Kang,Douglas F Easton,Jacques Simard,Xiao-ou Shu,Jirong Long,Wei Zheng

Journal

The American Journal of Human Genetics

Published Date

2022/12/1

By combining data from 160,500 individuals with breast cancer and 226,196 controls of Asian and European ancestry, we conducted genome- and transcriptome-wide association studies of breast cancer. We identified 222 genetic risk loci and 137 genes that were associated with breast cancer risk at a p < 5.0 × 10−8 and a Bonferroni-corrected p < 4.6 × 10−6, respectively. Of them, 32 loci and 15 genes showed a significantly different association between ER-positive and ER-negative breast cancer after Bonferroni correction. Significant ancestral differences in risk variant allele frequencies and their association strengths with breast cancer risk were identified. Of the significant associations identified in this study, 17 loci and 14 genes are located 1Mb away from any of the previously reported breast cancer risk variants. Pathways analyses including 221 putative risk genes identified multiple signaling pathways that …

eQTL set–based association analysis identifies novel susceptibility loci for Barrett esophagus and esophageal adenocarcinoma

Authors

Xiaoyu Wang,Puya Gharahkhani,David M Levine,Rebecca C Fitzgerald,Ines Gockel,Douglas A Corley,Harvey A Risch,Leslie Bernstein,Wong-Ho Chow,Lynn Onstad,Nicholas J Shaheen,Jesper Lagergren,Laura J Hardie,Anna H Wu,Paul DP Pharoah,Geoffrey Liu,Lesley A Anderson,Prasad G Iyer,Marilie D Gammon,Carlos Caldas,Weimin Ye,Hugh Barr,Paul Moayyedi,Rebecca Harrison,RG Peter Watson,Stephen Attwood,Laura Chegwidden,Sharon B Love,David MacDonald,John DeCaestecker,Hans Prenen,Katja Ott,Susanne Moebus,Marino Venerito,Hauke Lang,Rupert Mayershofer,Michael Knapp,Lothar Veits,Christian Gerges,Josef Weismüller,Matthias Reeh,Markus M Nöthen,Jakob R Izbicki,Hendrik Manner,Horst Neuhaus,Thomas Rösch,Anne C Böhmer,Arnulf H Hölscher,Mario Anders,Oliver Pech,Brigitte Schumacher,Claudia Schmidt,Thomas Schmidt,Tania Noder,Dietmar Lorenz,Michael Vieth,Andrea May,Timo Hess,Nicole Kreuser,Jessica Becker,Christian Ell,Ian Tomlinson,Claire Palles,Janusz A Jankowski,David C Whiteman,Stuart MacGregor,Johannes Schumacher,Thomas L Vaughan,Matthew F Buas,James Y Dai

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2022/9/2

Background Over 20 susceptibility single-nucleotide polymorphisms (SNP) have been identified for esophageal adenocarcinoma (EAC) and its precursor, Barrett esophagus (BE), explaining a small portion of heritability. Methods Using genetic data from 4,323 BE and 4,116 EAC patients aggregated by international consortia including the Barrett's and Esophageal Adenocarcinoma Consortium (BEACON), we conducted a comprehensive transcriptome-wide association study (TWAS) for BE/EAC, leveraging Genotype Tissue Expression (GTEx) gene-expression data from six tissue types of plausible relevance to EAC etiology: mucosa and muscularis from the esophagus, gastroesophageal (GE) junction, stomach, whole blood, and visceral adipose. Two analytical approaches were taken: standard TWAS using the predicted gene expression from local expression quantitative trait …

Segregation analysis of 17,425 population-based breast cancer families: evidence for genetic susceptibility and risk prediction

Authors

Shuai Li,Robert J MacInnis,Andrew Lee,Tu Nguyen-Dumont,Leila Dorling,Sara Carvalho,Gillian S Dite,Mitul Shah,Craig Luccarini,Qin Wang,Roger L Milne,Mark A Jenkins,Graham G Giles,Alison M Dunning,Paul DP Pharoah,Melissa C Southey,Douglas F Easton,John L Hopper,Antonis C Antoniou

Journal

The American Journal of Human Genetics

Published Date

2022/10/6

Rare pathogenic variants in known breast cancer-susceptibility genes and known common susceptibility variants do not fully explain the familial aggregation of breast cancer. To investigate plausible genetic models for the residual familial aggregation, we studied 17,425 families ascertained through population-based probands, 86% of whom were screened for pathogenic variants in BRCA1, BRCA2, PALB2, CHEK2, ATM, and TP53 via gene-panel sequencing. We conducted complex segregation analyses and fitted genetic models in which breast cancer incidence depended on the effects of known susceptibility genes and other unidentified major genes and a normally distributed polygenic component. The proportion of familial variance explained by the six genes was 46% at age 20–29 years and decreased steadily with age thereafter. After allowing for these genes, the best fitting model for the residual familial …

Copy number variants are ovarian cancer risk alleles at known and novel risk loci

Authors

Amber A DeVries,Joe Dennis,Jonathan P Tyrer,Pei-Chen Peng,Simon G Coetzee,Alberto L Reyes,Jasmine T Plummer,Brian D Davis,Stephanie S Chen,Felipe Segato Dezem,Katja KH Aben,Hoda Anton-Culver,Natalia N Antonenkova,Matthias W Beckmann,Alicia Beeghly-Fadiel,Andrew Berchuck,Natalia V Bogdanova,Nadja Bogdanova-Markov,James D Brenton,Ralf Butzow,Ian Campbell,Jenny Chang-Claude,Georgia Chenevix-Trench,Linda S Cook,Anna DeFazio,Jennifer A Doherty,Thilo Dörk,Diana M Eccles,A Heather Eliassen,Peter A Fasching,Renée T Fortner,Graham G Giles,Ellen L Goode,Marc T Goodman,Jacek Gronwald,Niclas Håkansson,Michelle AT Hildebrandt,Chad Huff,David G Huntsman,Allan Jensen,Siddhartha Kar,Beth Y Karlan,Elza K Khusnutdinova,Lambertus A Kiemeney,Susanne K Kjaer,Jolanta Kupryjanczyk,Marilyne Labrie,Diether Lambrechts,Nhu D Le,Jan Lubiński,Taymaa May,Usha Menon,Roger L Milne,Francesmary Modugno,Alvaro N Monteiro,Kirsten B Moysich,Kunle Odunsi,Håkan Olsson,Celeste L Pearce,Tanja Pejovic,Susan J Ramus,Elio Riboli,Marjorie J Riggan,Isabelle Romieu,Dale P Sandler,Joellen M Schildkraut,V Wendy Setiawan,Weiva Sieh,Honglin Song,Rebecca Sutphen,Kathryn L Terry,Pamela J Thompson,Linda Titus,Shelley S Tworoger,Els Van Nieuwenhuysen,Digna Velez Edwards,Penelope M Webb,Nicolas Wentzensen,Alice S Whittemore,Alicja Wolk,Anna H Wu,Argyrios Ziogas,Matthew L Freedman,Kate Lawrenson,Paul DP Pharoah,Douglas F Easton,Simon A Gayther,Michelle R Jones

Journal

JNCI: Journal of the National Cancer Institute

Published Date

2022/11/1

Background Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. Methods Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer–related cell types. Results We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio …

Adult-attained height and colorectal cancer risk: a cohort study, systematic review, and meta-analysis

Authors

Elinor Zhou,Lin Wang,Celina N Santiago,Julie Nanavati,Samara Rifkin,Emma Spence,Linda M Hylind,Joell J Gills,Louis La Luna,David R Kafonek,David M Cromwell,Julia L Drewes,Cynthia L Sears,Francis M Giardiello,Gerard E Mullin,Biofilm Study Consortium

Published Date

2022/4/1

Background The influence of anthropometric characteristics on colorectal neoplasia biology is unclear. We conducted a systematic review and meta-analysis to determine if adult-attained height is independently associated with the risk of colorectal cancer or adenoma. Methods We searched MEDLINE, EMBASE, the Cochrane Library, and Web of Science from inception to August 2020 for studies on the association between adult-attained height and colorectal cancer or adenoma. The original data from the Johns Hopkins (Baltimore, MD) Colon Biofilm study was also included. The overall HR/OR of colorectal cancer/adenoma with increased height was estimated using random-effects meta-analysis. Results We included 47 observational studies involving 280,644 colorectal cancer and 14,139 colorectal adenoma cases. Thirty-three studies reported data for …

Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Authors

Leila Dorling,Sara Carvalho,Jamie Allen,Michael T Parsons,Cristina Fortuno,Anna González-Neira,Stephan M Heijl,Muriel A Adank,Thomas U Ahearn,Irene L Andrulis,Päivi Auvinen,Heiko Becher,Matthias W Beckmann,Sabine Behrens,Marina Bermisheva,Natalia V Bogdanova,Stig E Bojesen,Manjeet K Bolla,Michael Bremer,Ignacio Briceno,Nicola J Camp,Archie Campbell,Jose E Castelao,Jenny Chang-Claude,Stephen J Chanock,Georgia Chenevix-Trench,NBCS Collaborators,J Margriet Collée,Kamila Czene,Joe Dennis,Thilo Dörk,Mikael Eriksson,D Gareth Evans,Peter A Fasching,Jonine Figueroa,Henrik Flyger,Marike Gabrielson,Manuela Gago-Dominguez,Montserrat García-Closas,Graham G Giles,Gord Glendon,Pascal Guénel,Melanie Gündert,Andreas Hadjisavvas,Eric Hahnen,Per Hall,Ute Hamann,Elaine F Harkness,Mikael Hartman,Frans BL Hogervorst,Antoinette Hollestelle,Reiner Hoppe,Anthony Howell,kConFab Investigators,SGBCC Investigators,Anna Jakubowska,Audrey Jung,Elza Khusnutdinova,Sung-Won Kim,Yon-Dschun Ko,Vessela N Kristensen,Inge MM Lakeman,Jingmei Li,Annika Lindblom,Maria A Loizidou,Artitaya Lophatananon,Jan Lubiński,Craig Luccarini,Michael J Madsen,Arto Mannermaa,Mehdi Manoochehri,Sara Margolin,Dimitrios Mavroudis,Roger L Milne,Nur Aishah Mohd Taib,Kenneth Muir,Heli Nevanlinna,William G Newman,Jan C Oosterwijk,Sue K Park,Paolo Peterlongo,Paolo Radice,Emmanouil Saloustros,Elinor J Sawyer,Rita K Schmutzler,Mitul Shah,Xueling Sim,Melissa C Southey,Harald Surowy,Maija Suvanto,Ian Tomlinson,Diana Torres,Thérèse Truong,Christi J van Asperen,Regina Waltes,Qin Wang,Xiaohong R Yang,Paul DP Pharoah,Marjanka K Schmidt,Javier Benitez,Bas Vroling,Alison M Dunning,Soo Hwang Teo,Anders Kvist,Miguel de la Hoya,Peter Devilee,Amanda B Spurdle,Maaike PG Vreeswijk,Douglas F Easton

Journal

Genome medicine

Published Date

2022/5/18

BackgroundProtein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain.MethodsWe analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated.ResultsThe most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and …

Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors

Authors

Andrew Lee,Xin Yang,Jonathan Tyrer,Aleksandra Gentry-Maharaj,Andy Ryan,Nasim Mavaddat,Alex P Cunningham,Tim Carver,Stephanie Archer,Goska Leslie,Jatinder Kalsi,Faiza Gaba,Ranjit Manchanda,Simon Gayther,Susan J Ramus,Fiona M Walter,Marc Tischkowitz,Ian Jacobs,Usha Menon,Douglas F Easton,Paul Pharoah,Antonis C Antoniou

Journal

Journal of Medical Genetics

Published Date

2021/11/21

BackgroundEpithelial tubo-ovarian cancer (EOC) has high mortality partly due to late diagnosis. Prevention is available but may be associated with adverse effects. A multifactorial risk model based on known genetic and epidemiological risk factors (RFs) for EOC can help identify women at higher risk who could benefit from targeted screening and prevention.MethodsWe developed a multifactorial EOC risk model for women of European ancestry incorporating the effects of pathogenic variants (PVs) in BRCA1, BRCA2, RAD51C, RAD51D and BRIP1, a Polygenic Risk Score (PRS) of arbitrary size, the effects of RFs and explicit family history (FH) using a synthetic model approach. The PRS, PV and RFs were assumed to act multiplicatively.ResultsBased on a currently available PRS for EOC that explains 5% of the EOC polygenic variance, the estimated lifetime risks under the multifactorial model in the general …

Incorporating progesterone receptor expression into the PREDICT breast prognostic model

Authors

Isabelle Grootes,Renske Keeman,Fiona M Blows,Roger L Milne,Graham G Giles,Anthony J Swerdlow,Peter A Fasching,Mustapha Abubakar,Irene L Andrulis,Hoda Anton-Culver,Matthias W Beckmann,Carl Blomqvist,Stig E Bojesen,Manjeet K Bolla,Bernardo Bonanni,Ignacio Briceno,Barbara Burwinkel,Nicola J Camp,Jose E Castelao,Ji-Yeob Choi,Christine L Clarke,Fergus J Couch,Angela Cox,Simon S Cross,Kamila Czene,Peter Devilee,Thilo Dörk,Alison M Dunning,Miriam Dwek,Douglas F Easton,Diana M Eccles,Mikael Eriksson,Kristina Ernst,D Gareth Evans,Jonine D Figueroa,Visnja Fink,Giuseppe Floris,Stephen Fox,Marike Gabrielson,Manuela Gago-Dominguez,Jose A Garcia-Saenz,Anna Gonzalez-Neira,Lothar Haeberle,Christopher A Haiman,Per Hall,Ute Hamann,Elaine F Harkness,Mikael Hartman,Alexander Hein,Maartje J Hooning,Ming-Feng Hou,Sacha J Howell,Hidemi Ito,Anna Jakubowska,Wolfgang Janni,Esther M John,Audrey Jung,Daehee Kang,Vessela N Kristensen,Ava Kwong,Diether Lambrechts,Jingmei Li,Jan Lubiński,Mehdi Manoochehri,Sara Margolin,Keitaro Matsuo,Nur Aishah Mohd Taib,Anna Marie Mulligan,Heli Nevanlinna,William G Newman,Kenneth Offit,Ana Osorio,Sue K Park,Tjoung-Won Park-Simon,Alpa V Patel,Nadege Presneau,Katri Pylkäs,Brigitte Rack,Paolo Radice,Gad Rennert,Atocha Romero,Emmanouil Saloustros,Elinor J Sawyer,Andreas Schneeweiss,Fabienne Schochter,Minouk J Schoemaker,Chen-Yang Shen,Rana Shibli,Peter Sinn,William J Tapper,Essa Tawfiq,Soo Hwang Teo,Lauren R Teras,Diana Torres,Celine M Vachon,Carolien HM van Deurzen,Camilla Wendt,Justin A Williams,Robert Winqvist,Mark Elwood,Marjanka K Schmidt,Montserrat García-Closas,Paul DP Pharoah,ABCTB Investigators,kConFab Investigators

Journal

European Journal of Cancer

Published Date

2022/9/1

BackgroundPredict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).MethodThe prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance.ResultsHaving a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with …

Distinct reproductive risk profiles for intrinsic-like breast cancer subtypes: pooled analysis of population-based studies

Authors

Audrey Y Jung,Thomas U Ahearn,Sabine Behrens,Pooja Middha,Manjeet K Bolla,Qin Wang,Volker Arndt,Kristan J Aronson,Annelie Augustinsson,Laura E Beane Freeman,Heiko Becher,Hermann Brenner,Federico Canzian,Lisa A Carey,CTS Consortium,Kamila Czene,A Heather Eliassen,Mikael Eriksson,D Gareth Evans,Jonine D Figueroa,Lin Fritschi,Marike Gabrielson,Graham G Giles,Pascal Guénel,Andreas Hadjisavvas,Christopher A Haiman,Niclas Håkansson,Per Hall,Ute Hamann,Reiner Hoppe,John L Hopper,Anthony Howell,David J Hunter,Anika Hüsing,Rudolf Kaaks,Veli-Matti Kosma,Stella Koutros,Peter Kraft,James V Lacey,Loic Le Marchand,Jolanta Lissowska,Maria A Loizidou,Arto Mannermaa,Tabea Maurer,Rachel A Murphy,Andrew F Olshan,Håkan Olsson,Alpa V Patel,Charles M Perou,Gad Rennert,Rana Shibli,Xiao-Ou Shu,Melissa C Southey,Jennifer Stone,Rulla M Tamimi,Lauren R Teras,Melissa A Troester,Thérèse Truong,Celine M Vachon,Sophia S Wang,Alicja Wolk,Anna H Wu,Xiaohong R Yang,Wei Zheng,Alison M Dunning,Paul DP Pharoah,Douglas F Easton,Roger L Milne,Nilanjan Chatterjee,Marjanka K Schmidt,Montserrat García-Closas,Jenny Chang-Claude

Journal

JNCI: Journal of the National Cancer Institute

Published Date

2022/12/1

Background Reproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear. Methods Analyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2–like, HER2-enriched–like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided. Results Compared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like …

Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

Authors

Suzanne C Dixon-Suen,Sarah J Lewis,Richard M Martin,Dallas R English,Terry Boyle,Graham G Giles,Kyriaki Michailidou,Manjeet K Bolla,Qin Wang,Joe Dennis,Michael Lush,Thomas U Ahearn,Christine B Ambrosone,Irene L Andrulis,Hoda Anton-Culver,Volker Arndt,Kristan J Aronson,Annelie Augustinsson,Päivi Auvinen,Laura E Beane Freeman,Heiko Becher,Matthias W Beckmann,Sabine Behrens,Marina Bermisheva,Carl Blomqvist,Natalia V Bogdanova,Stig E Bojesen,Bernardo Bonanni,Hermann Brenner,Thomas Brüning,Saundra S Buys,Nicola J Camp,Daniele Campa,Federico Canzian,Jose E Castelao,Melissa H Cessna,Jenny Chang-Claude,Stephen J Chanock,Christine L Clarke,Don M Conroy,Fergus J Couch,Angela Cox,Simon S Cross,Kamila Czene,Mary B Daly,Peter Devilee,Thilo Dörk,Miriam Dwek,Diana M Eccles,A Heather Eliassen,Christoph Engel,Mikael Eriksson,D Gareth Evans,Peter A Fasching,Olivia Fletcher,Henrik Flyger,Lin Fritschi,Marike Gabrielson,Manuela Gago-Dominguez,Montserrat García-Closas,José A García-Sáenz,Mark S Goldberg,Pascal Guénel,Melanie Gündert,Eric Hahnen,Christopher A Haiman,Lothar Häberle,Niclas Håkansson,Per Hall,Ute Hamann,Steven N Hart,Michelle Harvie,Peter Hillemanns,Antoinette Hollestelle,Maartje J Hooning,Reiner Hoppe,John Hopper,Anthony Howell,David J Hunter,Anna Jakubowska,Wolfgang Janni,Esther M John,Audrey Jung,Rudolf Kaaks,Renske Keeman,Cari M Kitahara,Stella Koutros,Peter Kraft,Vessela N Kristensen,Katerina Kubelka-Sabit,Allison W Kurian,James V Lacey,Diether Lambrechts,Loic Le Marchand,Annika Lindblom,Sibylle Loibl,Jan Lubiński,Arto Mannermaa,Mehdi Manoochehri,Sara Margolin,Maria Elena Martinez,Dimitrios Mavroudis,Usha Menon,Anna Marie Mulligan,Rachel A Murphy,Heli Nevanlinna,Ines Nevelsteen,William G Newman,Kenneth Offit,Andrew F Olshan,Håkan Olsson,Nick Orr,Alpa Patel,Julian Peto,Dijana Plaseska-Karanfilska,Nadege Presneau,Brigitte Rack,Paolo Radice,Erika Rees-Punia,Gad Rennert,Hedy S Rennert,Atocha Romero,Emmanouil Saloustros,Dale P Sandler,Marjanka K Schmidt,Rita K Schmutzler,Lukas Schwentner,Christopher Scott,Mitul Shah,Xiao-Ou Shu,Jacques Simard,Melissa C Southey,Jennifer Stone,Harald Surowy,Anthony J Swerdlow,Rulla M Tamimi,William J Tapper,Jack A Taylor,Mary Beth Terry,Rob AEM Tollenaar,Melissa A Troester,Thérèse Truong,Michael Untch,Celine M Vachon,Vijai Joseph,Barbara Wappenschmidt,Clarice R Weinberg,Alicja Wolk,Drakoulis Yannoukakos,Wei Zheng

Journal

British journal of sports medicine

Published Date

2022/10/1

ObjectivesPhysical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics.MethodsWe performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105–377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (n …

Risk of developing a second primary cancer in male breast cancer survivors: A systematic review and meta-analysis

Authors

Isaac Allen,Hend Hassan,Eleni Sofianopoulou,Diana Eccles,Clare Turnbull,Marc Tischkowitz,Paul Pharoah,Antonis C Antoniou

Published Date

2022/11/1

BackgroundWith increasing survival after cancer diagnoses, second primary cancers (SPCs) are becoming more prevalent. We investigated the incidence and site of non-breast SPC risks following male breast cancer (BC).MethodsPubMed, Embase and Web of Science were systematically searched for studies reporting standardised incidence ratios (SIRs) for SPCs published by March 2022. Meta-analyses used the generic inverse-variance method, assuming a random-effects model. We evaluated SIRs for overall SPCs, site-specific risks, by age at BC onset, time since BC onset and geographic region. We assessed study quality using routine techniques.ResultsEight population-based retrospective cohort studies were identified. SIRs ranged from 1.05 to 2.17. The summary SIR estimate was 1.27 (95% CI: 1.03–1.56, I2: 86%), and there were increased colorectal (SIR: 1.29, 95% CI: 1.03–1.61), pancreatic (SIR: 1 …

Genetic regulation of DNA methylation yields novel discoveries in GWAS of colorectal cancer

Authors

Richard Barfield,Jeroen R Huyghe,Mathieu Lemire,Xinyuan Dong,Yu-Ru Su,Stefanie Brezina,Daniel D Buchanan,Jane C Figueiredo,Steven Gallinger,Marios Giannakis,Andrea Gsur,Marc J Gunter,Heather Hampel,Tabitha A Harrison,John L Hopper,Thomas J Hudson,Christopher I Li,Victor Moreno,Polly A Newcomb,Rish K Pai,Paul DP Pharoah,Amanda I Phipps,Conghui Qu,Robert S Steinfelder,Wei Sun,Aung Ko Win,Syed H Zaidi,Peter T Campbell,Ulrike Peters,Li Hsu

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2022/5/4

Background Colorectal cancer has a strong epigenetic component that is accompanied by frequent DNA methylation (DNAm) alterations in addition to heritable genetic risk. It is of interest to understand the interrelationship of germline genetics, DNAm, and colorectal cancer risk. Methods We performed a genome-wide methylation quantitative trait locus (meQTL) analysis in 1,355 people, assessing the pairwise associations between genetic variants and lymphocytes methylation data. In addition, we used penalized regression with cis-genetic variants ± 1 Mb of methylation to identify genome-wide heritable DNAm. We evaluated the association of genetically predicted methylation with colorectal cancer risk based on genome-wide association studies (GWAS) of over 125,000 cases and controls using the multivariate sMiST as well as univariately via examination of marginal …

Environmental factors associated with residual disease after ovarian cancer primary cytoreduction surgery

Authors

Minh Tung Phung,Andrew Berchuck,Ellen L Goode,Marc T Goodman,Gillian E Hanley,Jean Richardson,Bronwyn Grout,Anne Chase,Cindy McKinnon Deurloo,Beth Y Karlan,Toon Van Gorp,Keitaro Matsuo,Karen McLean,Malcolm C Pike,Joellen M Schildkraut,Kathryn L Terry,Anna DeFazio,Penelope M Webb,Paul DP Pharoah,Susan J Ramus,Celeste Leigh Pearce

Journal

Cancer Research

Published Date

2022/6/15

Background: Ovarian cancer is the deadliest gynecologic cancer. Standard treatments for advanced stage high-grade serous ovarian cancer, the most common type, include (1) primary cytoreductive surgery (PCS) followed by adjuvant chemotherapy or (2) neoadjuvant chemotherapy (NACT) with interval debulking surgery. Patients in whom PCS is unlikely to yield optimal cytoreduction to no visible residual disease (R0) or who have medical contraindications to PCS are recommended to undergo NACT. Previous studies on associations between environmental factors and risk of any macroscopic residual disease have yielded inconsistent results. We aimed to (1) comprehensively examine the associations between demographic, lifestyle and reproductive factors and risk of residual disease after PCS; and (2) develop and internally validate a risk prediction model based on these factors. Methods: We used pooled …

Exome sequencing identifies novel susceptibility genes and defines the contribution of coding variants to breast cancer risk

Authors

Naomi Wilcox,Martine Dumont,Anna González-Neira,Sara Carvalho,Charles Joly Beauparlant,Marco Crotti,Craig Luccarini,Penny Soucy,Stéphane Dubois,Rocio Nuñez-Torres,Guillermo Pita,M Rosario Alonso,Nuria Álvarez,Caroline Baynes,Heiko Becher,Sabine Behrens,Manjeet K Bolla,Jose E Castelao,Jenny Chang-Claude,Sten Cornelissen,Joe Dennis,Thilo Dörk,Christoph Engel,Manuela Gago-Dominguez,Pascal Guénel,Andreas Hadjisavvas,Eric Hahnen,Mikael Hartman,Belén Herráez,SGBCC Investigators,Audrey Jung,Renske Keeman,Marion Kiechle,Jingmei Li,Maria A Loizidou,Michael Lush,Kyriaki Michailidou,Mihalis I Panayiotidis,Xueling Sim,Soo Hwang Teo,Jonathan P Tyrer,Lizet E van der Kolk,Cecilia Wahlström,Qin Wang,Javier Benitez,Marjanka K Schmidt,Rita K Schmutzler,Paul DP Pharoah,Arnaud Droit,Alison M Dunning,Anders Kvist,Peter Devilee,Douglas F Easton,Jacques Simard

Journal

medRxiv

Published Date

2022/6/17

Introductory paragraphLinkage and candidate gene studies have identified several breast cancer susceptibility genes, but the overall contribution of coding variation to breast cancer is unclear. To evaluate the role of rare coding variants more comprehensively, we performed a meta-analysis across three large whole-exome sequencing datasets, containing 16,498 cases and 182,142 controls. Burden tests were performed for protein-truncating and rare missense variants in 16,562 and 18,681 genes respectively. Associations between protein-truncating variants and breast cancer were identified for 7 genes at exome-wide significance (P<2.5×10-6): the five known susceptibility genes BRCA1, BRCA2, CHEK2, PALB2 and ATM, together with novel associations for ATRIP and MAP3K1. Predicted deleterious rare missense or protein-truncating variants were additionally associated at P<2.5×10-6 for SAMHD1. The overall contribution of coding variants in genes beyond the previously known genes is estimated to be small.

Relevance of the MHC region for breast cancer susceptibility in Asians

Authors

Peh Joo Ho,Alexis Jiaying Khng,Benita Kiat-Tee Tan,Ern Yu Tan,Su-Ming Tan,Veronique Kiak Mien Tan,Geok Hoon Lim,Kristan J Aronson,Tsun L Chan,Ji-Yeob Choi,Joe Dennis,Weang-Kee Ho,Ming-Feng Hou,Hidemi Ito,Motoki Iwasaki,Esther M John,Daehee Kang,Sung-Won Kim,Allison W Kurian,Ava Kwong,Artitaya Lophatananon,Keitaro Matsuo,Nur Aishah Mohd-Taib,Kenneth Muir,Rachel A Murphy,Sue K Park,Chen-Yang Shen,Xiao-Ou Shu,Soo Hwang Teo,Qin Wang,Taiki Yamaji,Wei Zheng,Manjeet K Bolla,Alison M Dunning,Douglas F Easton,Paul DP Pharoah,Mikael Hartman,Jingmei Li

Journal

Breast Cancer

Published Date

2022/9

BackgroundHuman leukocyte antigen (HLA) genes play critical roles in immune surveillance, an important defence against tumors. Imputing HLA genotypes from existing single-nucleotide polymorphism datasets is low-cost and efficient. We investigate the relevance of the major histocompatibility complex region in breast cancer susceptibility, using imputed class I and II HLA alleles, in 25,484 women of Asian ancestry.MethodsA total of 12,901 breast cancer cases and 12,583 controls from 12 case–control studies were included in our pooled analysis. HLA imputation was performed using SNP2HLA on 10,886 quality-controlled variants within the 15–55 Mb region on chromosome 6. HLA alleles (n = 175) with info scores greater than 0.8 and frequencies greater than 0.01 were included (resolution at two-digit level: 71; four-digit level: 104). We studied the associations between HLA alleles and breast cancer risk …

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence

Authors

Andrew Lee,Nasim Mavaddat,Alex Cunningham,Tim Carver,Lorenzo Ficorella,Stephanie Archer,Fiona M Walter,Marc Tischkowitz,Jonathan Roberts,Juliet Usher-Smith,Jacques Simard,Marjanka K Schmidt,Peter Devilee,Vesna Zadnik,Hannes Jürgens,Emmanuelle Mouret-Fourme,Antoine De Pauw,Matti Rookus,Thea M Mooij,Paul PD Pharoah,Douglas F Easton,Antonis C Antoniou

Journal

Journal of medical genetics

Published Date

2022/12/1

BackgroundBOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) for breast cancer and the epithelial tubo-ovarian cancer (EOC) models included in the CanRisk tool (www.canrisk.org) provide future cancer risks based on pathogenic variants in cancer-susceptibility genes, polygenic risk scores, breast density, questionnaire-based risk factors and family history. Here, we extend the models to include the effects of pathogenic variants in recently established breast cancer and EOC susceptibility genes, up-to-date age-specific pathology distributions and continuous risk factors.MethodsBOADICEA was extended to further incorporate the associations of pathogenic variants in BARD1, RAD51C and RAD51D with breast cancer risk. The EOC model was extended to include the association of PALB2 pathogenic variants with EOC risk. Age-specific distributions of oestrogen …

chromMAGMA: regulatory element-centric interrogation of risk variants

Authors

Robbin Nameki,Anamay Shetty,Eileen Dareng,Jonathan Tyrer,Xianzhi Lin,Paul Pharoah,Rosario I Corona,Siddhartha Kar,Kate Lawrenson,Ovarian Cancer Association Consortium

Journal

Life Science Alliance

Published Date

2022/10/1

Candidate causal risk variants from genome-wide association studies reside almost exclusively in noncoding regions of the genome and innovative approaches are necessary to understand their biological function. Multi-marker analysis of genomic annotation (MAGMA) is a widely used program that nominates candidate risk genes by mapping single-nucleotide polymorphism summary statistics from genome-wide association studies to gene bodies. We augmented MAGMA to create chromatin-MAGMA (chromMAGMA), a method to nominate candidate risk genes based on the presence of risk variants within noncoding regulatory elements (REs). We applied chromMAGMA to a genetic susceptibility dataset for epithelial ovarian cancer (EOC), a rare gynecologic malignancy characterized by high mortality. This identified 155 unique candidate EOC risk genes across five EOC histotypes; 83% (105/127) of high-grade …

No Association Between Polygenic Risk Scores for Cancer and Development of Radiation Therapy Toxicity

Authors

Gillian C Barnett,Sarah L Kerns,Leila Dorling,Laura Fachal,Miguel E Aguado-Barrera,Laura Martínez-Calvo,Harkeran K Jandu,Ceilidh Welsh,Jonathan Tyrer,Charlotte E Coles,Joanne S Haviland,Christopher Parker,Antonio Gómez-Caamaño,Patricia Calvo-Crespo,Paloma Sosa-Fajardo,Neil G Burnet,Holly Summersgill,Adam Webb,Dirk De Ruysscher,Petra Seibold,Jenny Chang-Claude,Christopher J Talbot,Tim Rattay,Matthew Parliament,Kim De Ruyck,Barry S Rosenstein,Paul DP Pharoah,Alison M Dunning,Ana Vega,Catharine ML West

Journal

International Journal of Radiation Oncology* Biology* Physics

Published Date

2022/11/1

PurposeOur aim was to test whether updated polygenic risk scores (PRS) for susceptibility to cancer affect risk of radiation therapy toxicity.Methods and MaterialsAnalyses included 9,717 patients with breast (n=3,078), prostate (n=5,748) or lung (n=891) cancer from Radiogenomics and REQUITE Consortia cohorts. Patients underwent potentially curative radiation therapy and were assessed prospectively for toxicity. Germline genotyping involved genome-wide single nucleotide polymorphism (SNP) arrays with nontyped SNPs imputed. PRS for each cancer were generated by summing literature-identified cancer susceptibility risk alleles: 352 breast, 136 prostate, and 24 lung. Weighted PRS were generated using log odds ratio (ORs) for cancer susceptibility. Standardized total average toxicity (STAT) scores at 2 and 5 years (breast, prostate) or 6 to 12 months (lung) quantified toxicity. Primary analysis tested late …

Beyond GWAS of colorectal cancer: evidence of Interaction with alcohol consumption and putative causal variant for the 10q24. 2 region

Authors

Kristina M Jordahl,Anna Shcherbina,Andre E Kim,Yu-Ru Su,Yi Lin,Jun Wang,Conghui Qu,Demetrius Albanes,Volker Arndt,James W Baurley,Sonja I Berndt,Stephanie A Bien,D Timothy Bishop,Emmanouil Bouras,Hermann Brenner,Daniel D Buchanan,Arif Budiarto,Peter T Campbell,Robert Carreras-Torres,Graham Casey,Tjeng Wawan Cenggoro,Andrew T Chan,David V Conti,Christopher H Dampier,Matthew A Devall,Virginia Díez-Obrero,Niki Dimou,David A Drew,Jane C Figueiredo,Steven Gallinger,Graham G Giles,Stephen B Gruber,Andrea Gsur,Marc J Gunter,Heather Hampel,Sophia Harlid,Tabitha A Harrison,Akihisa Hidaka,Michael Hoffmeister,Jeroen R Huyghe,Mark A Jenkins,Amit D Joshi,Temitope O Keku,Susanna C Larsson,Loic Le Marchand,Juan Pablo Lewinger,Li Li,Bharuno Mahesworo,Victor Moreno,John L Morrison,Neil Murphy,Hongmei Nan,Rami Nassir,Polly A Newcomb,Mireia Obón-Santacana,Shuji Ogino,Jennifer Ose,Rish K Pai,Julie R Palmer,Nikos Papadimitriou,Bens Pardamean,Anita R Peoples,Paul DP Pharoah,Elizabeth A Platz,John D Potter,Ross L Prentice,Gad Rennert,Edward Ruiz-Narvaez,Lori C Sakoda,Peter C Scacheri,Stephanie L Schmit,Robert E Schoen,Martha L Slattery,Mariana C Stern,Catherine M Tangen,Stephen N Thibodeau,Duncan C Thomas,Yu Tian,Konstantinos K Tsilidis,Cornelia M Ulrich,Franzel JB van Duijnhoven,Bethany Van Guelpen,Kala Visvanathan,Pavel Vodicka,Emily White,Alicja Wolk,Michael O Woods,Anna H Wu,Natalia Zemlianskaia,Jenny Chang-Claude,W James Gauderman,Li Hsu,Anshul Kundaje,Ulrike Peters

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2022/5/4

Background Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. Methods Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1–28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models …

Mapping the lay of the land: using interactive network analytic tools for collaboration in rural cancer prevention and control

Authors

Bobbi J Carothers,Peg Allen,Callie Walsh-Bailey,Dixie Duncan,Rebeca Vanderburg Pacheco,Karen R White,Debra Jeckstadt,Edward Tsai,Ross C Brownson

Journal

Cancer Epidemiology, Biomarkers & Prevention

Published Date

2022/6/1

Background Cancer mortality rates in the United States are higher in rural than urban areas, especially for colorectal cancer. Modifiable cancer risks (e.g., tobacco use, obesity) are more prevalent among U.S. rural than urban residents. Social network analyses are common, yet rural informal collaborative networks for cancer prevention and control and practitioner uses of network findings are less well understood. Methods In five service areas in rural Missouri and Illinois, we conducted a network survey of informal multisector networks among agencies that address cancer risk (N = 152 individuals). The survey asked about contact, collaborative activities, and referrals. We calculated descriptive network statistics and disseminated network visualizations with rural agencies through infographics and interactive Network Navigator platforms. We also collected feedback on uses of …

Predicting response to treatment in early breast cancer using dynamic integrative multi-omic profiling

Authors

Stephen-John Sammut,Mireia Crispin-Ortuzar,Suet-Feung Chin,Elena Provenzano,Wei Cope,Ali Dariush,Sarah-Jane Dawson,Paul D Pharoah,Florian Markowetz,Oscar M Rueda,Helena M Earl,Carlos Caldas

Journal

Cancer Research

Published Date

2022/6/15

Aim: We recently published the first machine learning framework that integrates multi-omic data derived from the pre-therapy breast tumor ecosystem to accurately predict response to neoadjuvant systemic therapy (Sammut et al, Nature 2021). We aimed to extend this framework to incorporate serially acquired multi-omic data to further improve response predictions and model tumor biology as it is perturbed by treatment. Methods: Breast tumor core biopsies were acquired at diagnosis from 168 women that went on to receive pre-operative chemotherapy (or chemotherapy plus anti-HER2 targeted therapy). Serial tumor core biopsies were obtained midway (n=78) and on completion (n=69) of neoadjuvant systemic therapy. Response was assessed at surgery using the Residual Cancer Burden score. Core biopsies were molecularly profiled by shallow whole genome, exome and RNA sequencing and their …

Germline allelic expression of genes at 17q22 locus associates with risk of breast cancer

Authors

Filipa Esteves,Joana M Xavier,Anthony M Ford,Cátia Rocha,Paul DP Pharoah,Carlos Caldas,Suet-Feung Chin,Ana-Teresa Maia

Journal

European Journal of Cancer

Published Date

2022/9/1

HighlightsCase-control analysis using AE as a phenotype detects risk associations.AE of STXBP4 and COX11 in breast tissue and blood associates with BC risk.rs17817901 and rs8066588 are putative cis-regulatory risk-causing variants.Biological risk mechanisms likely involve altered miRNA and protein binding.

See List of Professors in Paul Pharoah University(University of Cambridge)

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What is Paul Pharoah's h-index at University of Cambridge?

The h-index of Paul Pharoah has been 99 since 2020 and 160 in total.

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The articles with the titles of

Exome sequencing identifies HELB as a novel susceptibility gene for non-mucinous, non-high-grade-serous epithelial ovarian cancer

Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis

Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction

Expression of transglutaminase-2 (TGM2) in the prognosis of female invasive breast cancer

Abstract A004: Patterns of lncRNA-regulated gene expression in high-grade serous ovarian carcinomas

Risks of second primary cancers among 584,965 female and male breast cancer survivors in England: a 25-year retrospective cohort study

Novel breast cancer susceptibility loci under linkage peaks identified in African ancestry consortia

...

are the top articles of Paul Pharoah at University of Cambridge.

What are Paul Pharoah's research interests?

The research interests of Paul Pharoah are: Cancer, genetics, public health

What is Paul Pharoah's total number of citations?

Paul Pharoah has 109,209 citations in total.

What are the co-authors of Paul Pharoah?

The co-authors of Paul Pharoah are Douglas Easton, Paolo Boffetta, Reza Malekzadeh M.D, Carlos Caldas, Alison M Dunning, Diana Eccles.

    Co-Authors

    H-index: 208
    Douglas Easton

    Douglas Easton

    University of Cambridge

    H-index: 196
    Paolo Boffetta

    Paolo Boffetta

    Stony Brook University

    H-index: 147
    Reza Malekzadeh M.D

    Reza Malekzadeh M.D

    Tehran University of Medical Sciences

    H-index: 146
    Carlos Caldas

    Carlos Caldas

    University of Cambridge

    H-index: 118
    Alison M Dunning

    Alison M Dunning

    University of Cambridge

    H-index: 113
    Diana Eccles

    Diana Eccles

    University of Southampton

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