Lawrence S Phillips

Lawrence S Phillips

Emory & Henry College

H-index: 89

North America-United States

About Lawrence S Phillips

Lawrence S Phillips, With an exceptional h-index of 89 and a recent h-index of 47 (since 2020), a distinguished researcher at Emory & Henry College,

His recent articles reflect a diverse array of research interests and contributions to the field:

Association of type 2 diabetes mellitus with dementia‐related and non–dementia‐related mortality among postmenopausal women: A secondary competing risks analysis of the women's …

Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes: The Million Veteran Program (MVP)

Sleep Characteristics are Associated with Risk of Treated Diabetes Among Postmenopausal Women

Differential Effects of Type 2 Diabetes Treatment Regimens on Diabetes Distress and Depressive Symptoms in the Glycemia Reduction Approaches in Diabetes: A Comparative …

The Association of Vaccination for Common Adult Infectious Diseases and Uptake of COVID-19 Vaccines among 5,006,851 Veterans, 20 December 2020–31 October 2021

Large-scale Mendelian randomization identifies novel pathways as therapeutic targets for heart failure with reduced ejection fraction and with preserved ejection fraction

Heterogeneous effects on type 2 diabetes and cardiovascular outcomes of genetic variants and traits associated with fasting insulin

Correction for Collider Bias in the Genome-wide Association Study of Diabetes-Related Heart Failure due to Bidirectional Relationship between Heart Failure and Type 2 Diabetes

Lawrence S Phillips Information

University

Emory & Henry College

Position

___

Citations(all)

44038

Citations(since 2020)

10775

Cited By

36512

hIndex(all)

89

hIndex(since 2020)

47

i10Index(all)

284

i10Index(since 2020)

138

Email

University Profile Page

Emory & Henry College

Top articles of Lawrence S Phillips

Association of type 2 diabetes mellitus with dementia‐related and non–dementia‐related mortality among postmenopausal women: A secondary competing risks analysis of the women's …

Authors

Tyler J Titcomb,Phyllis Richey,Ramon Casanova,Lawrence S Phillips,Simin Liu,Shama D Karanth,Nazmus Saquib,Tomas Nuño,JoAnn E Manson,Aladdin H Shadyab,Longjian Liu,Terry L Wahls,Linda G Snetselaar,Robert B Wallace,Wei Bao

Journal

Alzheimer's & dementia

Published Date

2024/1

INTRODUCTION Alzheimer's disease (AD) and AD‐related dementias (ADRD) are leading causes of death among older adults in the United States. Efforts to understand risk factors for prevention are needed. METHODS Participants (n = 146,166) enrolled in the Women's Health Initiative without AD at baseline were included. Diabetes status was ascertained from self‐reported questionnaires and deaths attributed to AD/ADRD from hospital, autopsy, and death records. Competing risk regression models were used to estimate the cause‐specific hazard ratios (HRs) and 95% confidence intervals (CIs) for the prospective association of type 2 diabetes mellitus (T2DM) with AD/ADRD and non‐AD/ADRD mortality. RESULTS There were 29,393 treated T2DM cases and 8628 AD/ADRD deaths during 21.6 (14.0–23.5) median (IQR) years of follow‐up. Fully adjusted HRs (95% CIs) of the association with T2DM were 2 …

Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes: The Million Veteran Program (MVP)

Authors

Peter K Yang,Sandra L Jackson,Brian R Charest,Yiling J Cheng,Yan V Sun,Sridharan Raghavan,Elizabeth M Litkowski,Brian T Legvold,Mary K Rhee,Richard A Oram,Elena V Kuklina,Marijana Vujkovic,Peter D Reaven,Kelly Cho,Aaron Leong,Peter WF Wilson,Jin Zhou,Donald R Miller,Seth A Sharp,Lisa R Staimez,Kari E North,Heather M Highland,Lawrence S Phillips

Journal

Diabetes Care

Published Date

2024/4/12

OBJECTIVE To characterize high type 1 diabetes (T1D) genetic risk in a population where type 2 diabetes (T2D) predominates. RESEARCH DESIGN AND METHODS Characteristics typically associated with T1D were assessed in 109,594 Million Veteran Program participants with adult-onset diabetes, 2011–2021, who had T1D genetic risk scores (GRS) defined as low (0 to <45%), medium (45 to <90%), high (90 to <95%), or highest (≥95%). RESULTS T1D characteristics increased progressively with higher genetic risk (P < 0.001 for trend). A GRS ≥ 90% was more common with diabetes diagnoses before age 40 years, but 95% of those participants were diagnosed at age ≥40 years, and they resembled T2D in mean age (64.3 years) and BMI (32.3 kg/m2). Compared with the low risk group, the highest-risk group was more likely to have diabetic ketoacidosis …

Sleep Characteristics are Associated with Risk of Treated Diabetes Among Postmenopausal Women

Authors

Erin S LeBlanc,Shiqi Zhang,Haley Hedlin,Greg Clarke,Ning Smith,Lorena Garcia,Lauren Hale,Chloe Beverly Hery,Simin Liu,Heather Ochs-Balcom,Lawrence Phillips,Aladdin H Shadyab,Marcia Stefanick

Journal

The American Journal of Medicine

Published Date

2024/4/1

ObjectiveThe purpose of this study was to determine whether sleep characteristics are associated with incidence of treated diabetes in postmenopausal individuals.MethodsPostmenopausal participants ages 50-79 years reported sleep duration, sleep-disordered breathing, or insomnia at baseline and again in a subsample 3 years later. The primary outcome was self-reported new diagnosis of diabetes treated with oral drugs or insulin at any time after baseline. Multivariable Cox proportional hazards models were used.ResultsIn 135,964 participants followed for 18.1 (± 6.3) years, there was a nonlinear association between sleep duration and risk of treated diabetes. Participants sleeping ≤5 hours at baseline had a 21% increased risk of diabetes compared with those sleeping 7 hours (adjusted hazard ratio [aHR] 1.21; 95% confidence interval [CI], 1.00-1.47). Those who slept for ≥9 hours had a nonsignificant 6 …

Differential Effects of Type 2 Diabetes Treatment Regimens on Diabetes Distress and Depressive Symptoms in the Glycemia Reduction Approaches in Diabetes: A Comparative …

Authors

Jeffrey S Gonzalez,Ionut Bebu,Heidi Krause-Steinrauf,Claire J Hoogendoorn,Gladys Crespo-Ramos,Caroline Presley,Aanand D Naik,Shihchen Kuo,Mary L Johnson,Deborah Wexler,Jill P Crandall,Anne E Bantle,Valerie Arends,Andrea L Cherrington

Journal

Diabetes Care

Published Date

2024/2/28

OBJECTIVE We evaluated whether adding basal insulin to metformin in adults with early type 2 diabetes mellitus (T2DM) would increase emotional distress relative to other treatments. RESEARCH DESIGN AND METHODS The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) of adults with T2DM of <10 years’ duration, HbA1c 6.8–8.5%, and taking metformin monotherapy randomly assigned participants to add insulin glargine U-100, sulfonylurea glimepiride, the glucagon-like peptide-1 receptor agonist liraglutide, or the dipeptidyl peptidase 4 inhibitor sitagliptin. The Emotional Distress Substudy enrolled 1,739 GRADE participants (mean [SD] age 58.0 [10.2] years, 32% female, 56% non-Hispanic White, 18% non-Hispanic Black, 17% Hispanic) and assessed diabetes distress and depressive symptoms every 6 months. Analyses examined …

The Association of Vaccination for Common Adult Infectious Diseases and Uptake of COVID-19 Vaccines among 5,006,851 Veterans, 20 December 2020–31 October 2021

Authors

Brady W Bennett,Lawrence S Phillips,Julie A Gazmararian

Journal

Vaccines

Published Date

2024/1/30

Disparities in vaccination coverage for coronavirus disease 2019 (COVID-19) in the United States (U.S.) are consistent barriers limiting our ability to control the spread of disease, particularly those by age and race/ethnicity. This study examines the association between previous vaccination for common adult infectious diseases and vaccination for SARS-CoV-2 among a cohort of veterans in the U.S. Sociodemographic and clinical data were utilized from three databases within the Veterans Health Administration included in the electronic health record. We examined the association of previous vaccination for common adult vaccinations through six separate multivariable logistic regression analyses, one for each previous vaccine exposure, adjusting for demographic and clinical variables. We also examined the association of receiving any one of the six common adult vaccinations and vaccination against SARS-CoV-2. Adjusted models indicate higher odds of vaccination for SARS-CoV-2 among those who received each of the previous vaccinations. Significant differences were also noted by race/ethnicity and age. Veterans who recorded receiving any one of the previous vaccinations for common adult infections had significantly greater odds of receiving any vaccination against SARS-CoV-2. Understanding veterans’ previous vaccination status can assist researchers and clinicians in impacting the uptake of novel vaccines, such as vaccination against SARS-CoV-2.

Large-scale Mendelian randomization identifies novel pathways as therapeutic targets for heart failure with reduced ejection fraction and with preserved ejection fraction

Authors

Danielle Rasooly,Claudia Giambartolomei,Gina M Peloso,Hesam Dashti,Brian R Ferolito,Daniel J Golden,Andrea RVR Horimoto,Maik Pietzner,Eric H Farber-Eger,Quinn Stanton Wells,Giorgio Bini,Gabriele Proietti,Gian Gaetano Tartaglia,Nicole M Kosik,Peter WF Wilson,Lawrence S Phillips,Patricia B Munroe,Steffen E Petersen,Kelly Cho,John Michael Gaziano,Andrew R Leach,VA Million Veteran Program,John Whittaker,Claudia Langenberg,Nay Aung,Yan V Sun,Alexandre C Pereira,Jacob Joseph,Juan P Casas

Journal

medRxiv

Published Date

2024

We used expression quantitative trait loci (eQTLs) and protein quantitative trait loci (pQTLs) to conduct genome-wide Mendelian randomization (MR) using 27,799 cases of heart failure (HF) with reduced ejection fraction (HFrEF), 27,579 cases of HF with preserved ejection fraction (HFpEF), and 367,267 control individuals from the Million Veteran Program (MVP). We identified 70 HFrEF and 10 HFpEF gene-hits, of which 58 are novel. In 14 known loci for unclassified HF, we identified HFrEF as the subtype responsible for the signal. HFrEF hits ZBTB17, MTSS1, PDLIM5, and MLIP and novel HFpEF hits NFATC2IP, and PABPC4 showed robustness to MR assumptions, support from orthogonal sources, compelling evidence on mechanism of action needed for therapeutic efficacy, and no evidence of an unacceptable safety profile. We strengthen the value of pathways such as ubiquitin-proteasome system, small ubiquitin-related modifier pathway, inflammation, and mitochondrial metabolism as potential therapeutic targets for HF management. We identified IL6R, ADM, and EDNRA as suggestive hits for HFrEF and LPA for HFrEF and HFpEF, which enhances the odds of success for existing cardiovascular investigational drugs targeting. These findings confirm the unique value of human genetic studies in HFrEF and HFpEF for discovery of novel targets and generation of therapeutic target profiles needed to initiate new validation programs in HFrEF and HFpEF preclinical models.

Heterogeneous effects on type 2 diabetes and cardiovascular outcomes of genetic variants and traits associated with fasting insulin

Authors

Alisa Manning,Magdalena Sevilla-González,Kirk Smith,Ningyuan Wang,Aubrey Jensen,Elizabeth Litkowski,Hyunkyung Kim,Daniel DiCorpo,Kenneth Westerman,Jinrui Cui,Ching-Ti Liu,Chenglong Yu,John McNeil,Paul Lacaze,Kyong-Mi Chang,Phil Tsao,Lawrence Phillips,Mark Goodarzi,Rob Sladek,Jerome Rotter,Josee Dupuis,Jose Florez,Jordi Merino,James Meigs,Jin Zhou,Sridharan Raghavan,Miriam Udler

Journal

Research Square

Published Date

2023/9/19

Hyperinsulinemia is a complex and heterogeneous phenotype that characterizes molecular alterations that precede the development of type 2 diabetes (T2D). It results from a complex combination of molecular processes, including insulin secretion and insulin sensitivity, that differ between individuals. To better understand the physiology of hyperinsulinemia and ultimately T2D, we implemented a genetic approach grouping fasting insulin (FI)-associated genetic variants based on their molecular and phenotypic similarities. We identified seven distinctive genetic clusters representing different physiologic mechanisms leading to rising FI levels, ranging from clusters of variants with effects on increased FI, but without increased risk of T2D (non-diabetogenic hyperinsulinemia), to clusters of variants that increase FI and T2D risk with demonstrated strong effects on body fat distribution, liver, lipid, and inflammatory …

Correction for Collider Bias in the Genome-wide Association Study of Diabetes-Related Heart Failure due to Bidirectional Relationship between Heart Failure and Type 2 Diabetes

Authors

Yan V Sun,Chang Liu,Qin Hui,Jin J Zhou,John Michael Gaziano,Peter WF Wilson,Million Veteran Program,Jacob Joseph,Lawrence S Phillips

Journal

medRxiv

Published Date

2023

Aims Type 2 diabetes (T2D) is a major risk factor for heart failure (HF) across demographic groups. On the other hand, metabolic impairment, including elevated T2D incidence is a hallmark of HF pathophysiology. We investigated the bidirectional relationship between T2D and HF, and identified genetic associations with diabetes-related HF after correction for potential collider bias. Methods We performed a genome-wide association study (GWAS) of HF to identify genetic instrumental variables (GIVs) for HF, and to enable bidirectional Mendelian Randomization (MR) analysis between T2D and HF. Since genetics and HF can independently influence T2D, collider bias may occur when T2D (i.e., collider) is controlled for by design or analysis. Thus, we conducted GWAS of diabetes-related HF with correction for collider bias. Results We first identified 61 genomic loci, including 24 novel loci, significantly associated with all-cause HF in 114,275 HF cases and over 1.5 million controls of European ancestry. Combined with the summary statistics of a T2D GWAS, we obtained 59 and 82 GIVs for HF and T2D, respectively. Using a two-sample bidirectional MR approach, we estimated that T2D increased HF risk (OR 1.07, 95% CI 1.04-1.10), while HF also increased T2D risk (OR 1.60, 95% CI 1.36-1.88). Then we performed a GWAS of diabetes-related HF corrected for collider bias due to prevalent HF affecting incidence of T2D. After removing the spurious association of TCF7L2 locus due to collider bias, we identified two genome-wide significant loci close to PITX2 (chromosome 4) and CDKN2B−AS1 (chromosome 9) associated with diabetes-related HF …

218-LB: Younger Veterans with Adult-Onset Diabetes Who Have High Type 1 Diabetes (T1D) Genetic Risk Are Disproportionately of Minority Ancestry and Have Features Typical of T1D …

Authors

PETER K YANG,YAN SUN,SRIDHARAN RAGHAVAN,ELIZABETH M LITKOWSKI,BRIAN T LEGVOLD,MARY K RHEE,MARIJANA VUJKOVIC,PETER REAVEN,AARON LEONG,LAWRENCE S PHILLIPS

Journal

Diabetes

Published Date

2023/6/20

Diabetes in Veterans is usually presumed to be T2D because T1D precludes enlistment, but T1D may present in adults; how T1D genetic risk impacts different racial/ethnic groups is unknown. To assess the contributions of T1D genetic risk, we examined 109,954 Veterans in the VA's Million Veteran Program (MVP), using a 30 SNP T1D genetic risk score (GRS) for those with European, Hispanic, and Asian ancestry, and a separate 7-SNP GRS for those of African ancestry. High T1D genetic risk (GRS≥ 90 th percentile) was characterized according to age at diabetes onset (20-39, 40-59, and 60+ years). High T1D genetic risk was more common with the earliest onset group (13.2%, 10.0% and 9.0%, respectively), and that group had the highest proportion of minority ancestry (47%, 37%, and 25%), all p< 0.001. The three high T1D risk groups had similar follow-up (13, 12, and 11 years), GAD antibodies if tested (39 …

Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma

Authors

Kathryn Recto,Priyadarshini Kachroo,Tianxiao Huan,David Van Den Berg,Gha Young Lee,Helena Bui,Dong Heon Lee,Jessica Gereige,Chen Yao,Shih-Jen Hwang,Roby Joehanes,Scott T Weiss,Namiko Abe,Gonçalo Abecasis,Francois Aguet,Christine Albert,Laura Almasy,Alvaro Alonso,Seth Ament,Peter Anderson,Pramod Anugu,Deborah Applebaum-Bowden,Kristin Ardlie,Dan Arking,Donna K Arnett,Allison Ashley-Koch,Stella Aslibekyan,Tim Assimes,Paul Auer,Dimitrios Avramopoulos,Najib Ayas,Adithya Balasubramanian,John Barnard,Kathleen Barnes,R Graham Barr,Emily Barron-Casella,Lucas Barwick,Terri Beaty,Gerald Beck,Diane Becker,Lewis Becker,Rebecca Beer,Amber Beitelshees,Emelia Benjamin,Takis Benos,Marcos Bezerra,Larry Bielak,Joshua Bis,Thomas Blackwell,John Blangero,Nathan Blue,Eric Boerwinkle,Donald W Bowden,Russell Bowler,Jennifer Brody,Ulrich Broeckel,Jai Broome,Deborah Brown,Karen Bunting,Esteban Burchard,Carlos Bustamante,Erin Buth,Brian Cade,Jonathan Cardwell,Vincent Carey,Julie Carrier,April P Carson,Cara Carty,Richard Casaburi,Juan P Casas Romero,James Casella,Peter Castaldi,Mark Chaffin,Christy Chang,Yi-Cheng Chang,Daniel Chasman,Sameer Chavan,Bo-Juen Chen,Wei-Min Chen,Yii-Der Ida Chen,Michael Cho,Seung Hoan Choi,Lee-Ming Chuang,Mina Chung,Ren-Hua Chung,Clary Clish,Suzy Comhair,Matthew Conomos,Elaine Cornell,Adolfo Correa,Carolyn Crandall,James Crapo,L Adrienne Cupples,Joanne Curran,Jeffrey Curtis,Brian Custer,Coleen Damcott,Dawood Darbar,Sean David,Colleen Davis,Michelle Daya,Mariza de Andrade,Lisa de las Fuentes,Paul de Vries,Michael DeBaun,Ranjan Deka,Dawn DeMeo,Scott Devine,Huyen Dinh,Harsha Doddapaneni,Qing Duan,Shannon Dugan-Perez,Ravi Duggirala,Jon Peter Durda,Susan K Dutcher,Charles Eaton,Lynette Ekunwe,Adel El Boueiz,Patrick Ellinor,Leslie Emery,Serpil Erzurum,Charles Farber,Jesse Farek,Tasha Fingerlin,Matthew Flickinger,Myriam Fornage,Nora Franceschini,Chris Frazar,Mao Fu,Stephanie M Fullerton,Lucinda Fulton,Stacey Gabriel,Weiniu Gan,Shanshan Gao,Yan Gao,Margery Gass,Heather Geiger,Bruce Gelb,Mark Geraci,Soren Germer,Robert Gerszten,Auyon Ghosh,Richard Gibbs,Chris Gignoux,Mark Gladwin,David Glahn,Stephanie Gogarten,Da-Wei Gong,Harald Goring,Sharon Graw

Journal

EBioMedicine

Published Date

2023/9/1

BackgroundIdentifying novel epigenetic signatures associated with serum immunoglobulin E (IgE) may improve our understanding of molecular mechanisms underlying asthma and IgE-mediated diseases.MethodsWe performed an epigenome-wide association study using whole blood from Framingham Heart Study (FHS; n = 3,471, 46% females) participants and validated results using the Childhood Asthma Management Program (CAMP; n = 674, 39% females) and the Genetic Epidemiology of Asthma in Costa Rica Study (CRA; n = 787, 41% females). Using the closest gene to each IgE-associated CpG, we highlighted biologically plausible pathways underlying IgE regulation and analyzed the transcription patterns linked to IgE-associated CpGs (expression quantitative trait methylation loci; eQTMs). Using prior UK Biobank summary data from genome-wide association studies of asthma and allergy, we …

Space-time clustering of COVID-19 cases in the United States veteran population

Authors

Danielle M Richard,Julie A Gazmararian,Alyssa Greenhouse,Anjali Khakharia,Lawrence S Phillips,Lance A Waller

Journal

Annals of Epidemiology

Published Date

2023/11/1

PurposeTo assess the distribution and clustering of coronavirus disease 2019 (COVID-19) testing and incidence over space and time, U.S. Department of Veteran’s Affairs (VA) data were used to describe where and when veterans experienced highest proportions of test positivity.MethodsData for 6,342,455 veterans who utilized VA services between January 1, 2018, and September 30, 2021, were assessed for COVID-19 testing and test positivity. Testing and positivity proportions by county were mapped and focused-cluster tests identified significant clustering around VA facilities. Spatial cluster analysis also identified where and when veterans experienced highest proportions of test positivity.ResultsWithin the veterans study population and our time window, 21.3% received at least one COVID-19 test, and 20.4% of those tested had at least one positive test. There was statistically significant clustering of testing …

Diabetes, metformin use and risk of non‐Hodgkin's lymphoma in postmenopausal women: A prospective cohort analysis in the Women's Health Initiative

Authors

Zikun Wang,Lawrence S Phillips,Thomas E Rohan,Gloria YF Ho,Aladdin H Shadyab,Aurelian Bidulescu,Charles N Rudick,Kathy Pan,Zhongxue Chen,Juhua Luo

Journal

International Journal of Cancer

Published Date

2022/11/28

Epidemiologic evidence is limited about associations between T2DM, metformin, and the risk of non‐Hodgkin's lymphoma (NHL). We aimed to examine associations between T2DM, metformin, and the risk of NHL in the Women's Health Initiative (WHI) Study. Information on T2DM status (diabetes status/types of antidiabetic drug use/diabetes duration) from study enrollment and during follow‐up were assessed. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate associations of T2DM status with risks of overall NHL and its three major subtypes [diffuse large B‐cell lymphoma (DLBCL, n = 476), follicular lymphoma (FL, n = 301) and chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL, n = 136)] based on multivariable‐adjusted Cox proportional hazards models. During a median follow‐up of 18.86 years (range, 0.01‐25.13; SD ± 6.55), a total of 1637 women …

The Social, Demographic, and Clinical Predictors of COVID-19 Severity: a Model-based Analysis of United States Veterans

Authors

Alyssa R Greenhouse,Danielle Richard,Anjali Khakharia,Michael Goodman,Lawrence S Phillips,Julie A Gazmararian

Journal

Journal of Racial and Ethnic Health Disparities

Published Date

2023/9/1

PurposeThis study aims to identify the contributions of individual and community social determinants of health (SDOH), demographic, and clinical factors in COVID-19 disease severity through a model-based analysis.MethodsThis national cross-sectional study focused on hospitalization among those tested for COVID-19 and use of intensive care, analyzing data on 220,848 Veterans tested between February 20, 2020 and October 20, 2021. Multiple logistic regression models were constructed using backwards elimination. The predictive value of each model was assessed with a c-statistic.ResultsThose hospitalized were older, more likely to be male, of Black or Asian race, have an income less than $39,999, live in an urban residence, and have medical comorbidities. The strongest predictors for hospitalization included Gini inequality index, race, income, heart failure, chronic kidney disease (CKD), and chronic …

FRI615 The 1-Hour OGTT Plasma Glucose As A Biomarker Of β-cell Function

Authors

Brian Thomas Legvold,Amanda Zhang,Kristina Marie Utzschneider,Mary Kyung Rhee,Lisa R Staimez,Kirk A Easley,Marleen MJ Van Greevenbroek,Carla JH Van Der Kallen,Casper G Schalkwijk,Coen DA Stehouwer,Lawrence S Phillips

Journal

Journal of the Endocrine Society

Published Date

2023/10

Disclosure: B.T. Legvold: None. A. Zhang: None. K.M. Utzschneider: None. M.K. Rhee: None. L.R. Staimez: None. K.A. Easley: None. M.M. Van Greevenbroek: None. C.J. Van Der Kallen: None. C.G. Schalkwijk: None. C.D. Stehouwer: None. L.S. Phillips: None. Development of diabetes (DM) is attributed to reduced β-cell function, but we lack a measure of β-cell function that is a good predictor of progression to diabetes, and sufficiently convenient and inexpensive for use in large studies. To determine if the 1-hour plasma glucose in a 75g oral glucose tolerance test (1hrOGTT) might serve this purpose, we examined (i) correlations with insulin secretion (insSEC) vs. action (insACT), (ii) prediction of progression from nonDM to DM, and (iii) sample size needed for a prospective trial. The Cohort study of Diabetes and Atherosclerosis Maastricht (CoDAM) included 362 participants with nonDM at baseline …

A platform for phenotyping disease progression and associated longitudinal risk factors in large-scale EHRs, with application to incident diabetes complications in the UK Biobank

Authors

Do Hyun Kim,Aubrey Jensen,Kelly Jones,Sridharan Raghavan,Lawrence S Phillips,Adriana Hung,Yan V Sun,Gang Li,Peter Reaven,Hua Zhou,Jin J Zhou

Journal

JAMIA open

Published Date

2023/4/1

Objective Modern healthcare data reflect massive multi-level and multi-scale information collected over many years. The majority of the existing phenotyping algorithms use case–control definitions of disease. This paper aims to study the time to disease onset and progression and identify the time-varying risk factors that drive them. Materials and Methods We developed an algorithmic approach to phenotyping the incidence of diseases by consolidating data sources from the UK Biobank (UKB), including primary care electronic health records (EHRs). We focused on defining events, event dates, and their censoring time, including relevant terms and existing phenotypes, excluding generic, rare, or semantically distant terms, forward-mapping terminology terms, and expert review. We applied our approach to phenotyping diabetes complications, including a composite …

Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure

Authors

Danielle Rasooly,Gina M Peloso,Alexandre C Pereira,Hesam Dashti,Claudia Giambartolomei,Eleanor Wheeler,Nay Aung,Brian R Ferolito,Maik Pietzner,Eric H Farber-Eger,Quinn Stanton Wells,Nicole M Kosik,Liam Gaziano,Daniel C Posner,A Patrícia Bento,Qin Hui,Chang Liu,Krishna Aragam,Zeyuan Wang,Brian Charest,Jennifer E Huffman,Peter WF Wilson,Lawrence S Phillips,John Whittaker,Patricia B Munroe,Steffen E Petersen,Kelly Cho,Andrew R Leach,María Paula Magariños,John Michael Gaziano,VA Million Veteran Program,Claudia Langenberg,Yan V Sun,Jacob Joseph,Juan P Casas

Journal

Nature Communications

Published Date

2023/7/10

We conduct a large-scale meta-analysis of heart failure genome-wide association studies (GWAS) consisting of over 90,000 heart failure cases and more than 1 million control individuals of European ancestry to uncover novel genetic determinants for heart failure. Using the GWAS results and blood protein quantitative loci, we perform Mendelian randomization and colocalization analyses on human proteins to provide putative causal evidence for the role of druggable proteins in the genesis of heart failure. We identify 39 genome-wide significant heart failure risk variants, of which 18 are previously unreported. Using a combination of Mendelian randomization proteomics and genetic cis-only colocalization analyses, we identify 10 additional putatively causal genes for heart failure. Findings from GWAS and Mendelian randomization-proteomics identify seven (CAMK2D, PRKD1, PRKD3, MAPK3, TNFSF12, APOC3 …

Use of comprehensive recruitment strategies in the Glycemia reduction approaches in diabetes: a comparative effectiveness study (GRADE) multi-center clinical trial

Authors

Andrea L Cherrington,Heidi Krause-Steinrauf,Vanita Aroda,John B Buse,Basma Fattaleh,Stephen P Fortmann,Stephanie Hall,Sophia H Hox,Alexander Kuhn,Tina Killean,Amy Loveland,Lawrence S Phillips,Analyn Uy Jackson,Andrea Waltje,M Diane McKee,GRADE Research Group

Journal

Clinical Trials

Published Date

2023/10

Background/AimsWe present and describe recruitment strategies implemented from 2013 to 2017 across 45 clinical sites in the United States, participating in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study, an unmasked, randomized controlled trial evaluating four glucose-lowering medications added to metformin in individuals with type 2 diabetes mellitus (duration of diabetes <10 years). We examined the yield of participants recruited through Electronic Health Records systems compared to traditional recruitment methods to leverage access to type 2 diabetes patients in primary care.MethodsSite selection criteria included availability of the study population, geographic representation, the ability to recruit and retain a diverse pool of participants including traditionally underrepresented groups, and prior site research experience in diabetes clinical trials. Recruitment initiatives …

Annual Foot Exams are Associated with Reduced Incident Amputation among Older Veterans with Diabetes

Authors

Latricia L Allen,Anjali Khakharia,Lawrence S Phillips,Theodore M Johnson,Constance R Uphold,Molly M Perkins,Elizabeth Vaughan

Journal

Journal of Applied Gerontology

Published Date

2023/2

We conducted a secondary data analysis to evaluate the association between annual foot exams and incident lower extremity amputations (LEA) among older veterans with diabetes during FY2007–FY2014. Older Veterans with at least one primary care provider visit each year (N = 664,162) and at least one foot exam each year (N = 72,892) and the overlap were identified from the 5 years prior to the study period of interest (FY2002–FY2006 (N = 71,122)). After excluding incident LEA related to cancer and trauma, 71,018 veterans (mean age +/− SD, % male) were included in the final cohort, which was followed from FY2007–FY2014 to evaluate the influence of subsequent annual foot exams and incident LEA. Consistent annual foot exams were protective for incident LEA in older veterans with diabetes, adjusted OR was 0.85 (97% CI: 0.74–0.96). Results indicate that adherence to annual foot exam guidelines can …

Comparative effects of glucose-lowering medications on kidney outcomes in type 2 diabetes: the GRADE randomized clinical trial

Authors

Deborah J Wexler,Ian H De Boer,Alokananda Ghosh,Naji Younes,Ionut Bebu,Silvio E Inzucchi,Janet B McGill,Sunder Mudaliar,David Schade,Michael W Steffes,William V Tamborlane,Meng H Tan,Faramarz Ismail-Beigi,Jill P Crandall,Melissa Diane McKee,Stephanie Beringher-Massera,Janet Brown-Friday,Entila Xhori,Keisha Ballentine-Cargill,Sally Duran,Hayley Estrella,Jennifer Lukin,Lawrence Phillips,Elizabeth Burgess,Darin Olson,Mary Rhee,Peter Wilson,Tasha Stephanie Raines,Johanna Boers,Julie Costello,Maxine Maher-Albertelli,Radhika Mungara,Louise Savoye,CarolAnn White,Chona Gullett,Leah Holloway,Folayan Morehead,Saranjit Person,Mabil Sibymon,Sridhar Tanukonda,Cynthia Adams,April Ross,Ashok Balasubramanyam,Ruchi Gaba,Erica Gonzalez,Adrienne Ideozu,Julizza Jimenez,Gabriela Montes,Charlyne Wright,Priscilla Hollander,Erin Roe,Analyn Jackson,Ashley Smiley,Polly Burt,Lorie Estrada,Kris Chionh,Corinna Falck-Ytter,Laure Sayyed Kassem,Ajay Sood,Margaret Tiktin,Bethany Cramer,Jacalyn Iacoboni,Maria V Kononets,Tanya Kulow,Cynthia Newman,Katherine A Stancil,Cristina Sanders,Lisa Tucker,Amanda Werner,Adrienne Krol,Gloria McPhee,Christine Patel,Linda Colosimo,Audrey Maxwell,Robin Goland,James Pring,Lucia Alfano,Patricia Kringas,Camille Hausheer,Jessica Tejada,Kelly Gumpel,Amanda Kirpitch,Harvey Schneier,Jennifer B Green,Hiba AbouAssi,Ranee Chatterjee,Mark N Feinglos,Jennifer English Jones,Shubi A Khan,Jeanne B Kimpel,Ronna P Zimmer,Mary Furst,Barbara M Satterwhite,Connie R Thacker,Kathryn Evans Kreider,Cary N Mariash,Kieren J Mather,Heba M Ismail,Amale Lteif,Maureen Mullen,Tonya Hamilton,Nick Patel,Gabriela Riera,Marcia Jackson,Vivian Pirics,Devin Howard,Danielle Aguillar,Sloan Hurt,Richard Bergenstal,Anders Carlson,Thomas Martens,Mary Johnson,Renae Hill,Jamie Hyatt,Connie Jensen,Marcia Madden,Dianna Martin,Holly Willis,Wanda Konerza,Shoua Yang,Rebecca Passi,Kathleen Kleeberger,Stephen Fortmann,Michael Herson,Karen Mularski,Harry Glauber,James Prihoda,Britt Ash,Christina Carlson,Phyllis Anne Ramey,Emily Schield,Britta Torgrimson-Ojerio,Kathy Arnold,Bryan Kauffman,Elease Panos,Samantha Sahnow,Kristi Bays,Jennifer Cook,Jennifer Gluth,Debra Ghioni,Katrina Schell,Jennifer Criscola,Camille Friason,Suzi Jones,Sergey Nazarov,Joshua Barzilay,Negah Rassouli,Rachel Puttnam,Olubukola Ojoawo,Roslin Nelson

Journal

JAMA internal medicine

Published Date

2023/7/1

ImportanceType 2 diabetes (T2D) is the leading cause of kidney disease in the US. It is not known whether glucose-lowering medications differentially affect kidney function.ObjectiveTo evaluate kidney outcomes in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) trial comparing 4 classes of glucose-lowering medications added to metformin for glycemic management in individuals with T2D.Design, Setting, and ParticipantsA randomized clinical trial was conducted at 36 sites across the US. Participants included adults with T2D for less than 10 years, a hemoglobin A1clevel between 6.8% and 8.5%, and estimated glomerular filtration rate (eGFR) greater than or equal to 60 mL/min/1.73 m2who were receiving metformin treatment. A total of 5047 participants were enrolled between July 8, 2013, and August 11, 2017, and followed up for a mean of 5.0 years (range, 0-7.6 years …

Mendelian randomization study of diabetes and dementia in the Million Veteran Program

Authors

Elizabeth M Litkowski,Mark W Logue,Rui Zhang,Brian R Charest,Ethan M Lange,John E Hokanson,Julie A Lynch,Marijana Vujkovic,Lawrence S Phillips,Richard L Hauger,Leslie A Lange,Sridharan Raghavan,VA Million Veteran Program (MVP)

Journal

Alzheimer's & Dementia

Published Date

2023/10

Introduction Diabetes and dementia are diseases of high health‐care burden worldwide. Individuals with diabetes have 1.4 to 2.2 times higher risk of dementia. Our objective was to evaluate evidence of causality between these two common diseases. Methods We conducted a one‐sample Mendelian randomization (MR) analysis in the US Department of Veterans Affairs Million Veteran program. The study included 334,672 participants ≥65 years of age with type 2 diabetes and dementia case‐control status and genotype data. Results For each standard deviation increase in genetically predicted diabetes, we found increased odds of three dementia diagnoses in non‐Hispanic White participants (all‐cause: odds ratio [OR] = 1.07 [1.05–1.08], P = 3.40E‐18; vascular: OR = 1.11 [1.07–1.15], P = 3.63E‐09, Alzheimer's disease [AD]: OR = 1.06 [1.02–1.09], P = 6.84E‐04) and non‐Hispanic Black participants (all …

See List of Professors in Lawrence S Phillips University(Emory & Henry College)

Lawrence S Phillips FAQs

What is Lawrence S Phillips's h-index at Emory & Henry College?

The h-index of Lawrence S Phillips has been 47 since 2020 and 89 in total.

What are Lawrence S Phillips's top articles?

The articles with the titles of

Association of type 2 diabetes mellitus with dementia‐related and non–dementia‐related mortality among postmenopausal women: A secondary competing risks analysis of the women's …

Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes: The Million Veteran Program (MVP)

Sleep Characteristics are Associated with Risk of Treated Diabetes Among Postmenopausal Women

Differential Effects of Type 2 Diabetes Treatment Regimens on Diabetes Distress and Depressive Symptoms in the Glycemia Reduction Approaches in Diabetes: A Comparative …

The Association of Vaccination for Common Adult Infectious Diseases and Uptake of COVID-19 Vaccines among 5,006,851 Veterans, 20 December 2020–31 October 2021

Large-scale Mendelian randomization identifies novel pathways as therapeutic targets for heart failure with reduced ejection fraction and with preserved ejection fraction

Heterogeneous effects on type 2 diabetes and cardiovascular outcomes of genetic variants and traits associated with fasting insulin

Correction for Collider Bias in the Genome-wide Association Study of Diabetes-Related Heart Failure due to Bidirectional Relationship between Heart Failure and Type 2 Diabetes

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are the top articles of Lawrence S Phillips at Emory & Henry College.

What is Lawrence S Phillips's total number of citations?

Lawrence S Phillips has 44,038 citations in total.

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