J. Michael Gaziano

The stuff that dreams are made of: Genomics and biology of nightmares

This study identifies genetic risk loci for nightmare frequency and explores its genetic correlations with psychiatric traits.

Posttraumatic Stress Disorder Epigenome-Wide Association Studies in the Million Veteran Program

This paper conducts a large-scale epigenome-wide association study of PTSD in the Million Veteran Program, identifying 272 CpG sites associated with PTSD traits and replicating prior findings.

Cross-ancestry and phenome-wide associations of cancer-specific polygenic risk scores

This study evaluates cancer-specific polygenic risk scores (PRS) across diverse ancestries and finds they predict corresponding cancers with varying effectiveness and limited pleiotropy.

Genomic Architecture of Migraine: A Multi ancestry GWAS Meta analysis of 2.5 Million Participants

This study conducts a multi-ancestry GWAS meta-analysis of 2.5 million participants to identify genetic variants associated with migraine and link them to biological pathways and therapeutic targets.

The Genetics of Fibromyalgia and its Relationships to Psychiatric and Medical Traits

This study identifies genetic loci associated with fibromyalgia and finds strong genetic correlations with psychiatric and medical traits.

Beyond the classical plasma secretome: genetic architecture and disease associations of the expanded human plasma proteome in 13,445 Europeans

This study expands the human plasma proteome analysis using an enhanced SomaScan platform, identifying new genetic associations and disease mechanisms beyond the classical secretome.

A genomic-led strategy to anticipate drug safety effects

The paper uses Mendelian Randomization to predict adverse drug reactions by linking genetic variants to gene expression and protein abundance across large datasets.

Type 2 diabetes genetics in 125,000 admixed adults from Mexico City

This study identifies 86 T2D GWAS associations in 125,000 admixed Mexican adults, including 21 novel signals, and highlights the role of common regulatory variation in the endocrine pancreas.

Multi-ancestry genome-wide association study and meta-analysis of stimulant use disorder reveals biology and relationships to other psychiatric disorders

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

A Genome-wide Association Study of Alzheimer's Disease and Dementia in a Large Multi-ancestry Military Cohort Identifies Many New Dementia-Associated Loci

This paper conducts a genome-wide association study of Alzheimer's disease and dementia in a multi-ancestry military cohort, identifying 72 new dementia-associated loci through meta-analysis.

X-Chromosome-Wide Association Study Identifies Novel Genetic Signals for Heart Failure and Subtypes

This study conducts an X-chromosome-wide association study to identify genetic signals for heart failure and its subtypes, finding novel loci and replicating some in UK Biobank.

Multi-ancestral GWAS with the VA Million Veteran Program enables functional interpretation of rheumatoid arthritis alleles

This study conducts a multi-ancestry GWAS of rheumatoid arthritis using the VA Million Veteran Program, identifying 152 genome-wide significant loci and improving fine-mapping resolution.

Novel Genetic Risk Loci for Pancreatic Ductal Adenocarcinoma Identified in a Genome-wide Study of African Ancestry Individuals

This study identifies novel genetic risk loci for pancreatic ductal adenocarcinoma in African ancestry individuals through admixture mapping and GWAS.

Independent Genetic Effects of Glucagon-like Peptide-1 Receptor Locus on Body Mass Index and Type 2 Diabetes

This study identifies two independent BMI-associated variants at the GLP1R locus with distinct associations with T2D risk, suggesting heterogeneous genetic mechanisms.

Leveraging Large-Scale Biobanks for Therapeutic Target Discovery

This study uses large biobanks to identify gene-trait pairs with causal evidence, rediscover approved drug targets, and develop a predictive model for drug development.

Genomic analyses reveal new insights into Alzheimer's disease

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

Integrative Proteome- and Phenome-Wide Assessment Uncovers Causal Protein Drivers and Drug Targets for Heterogeneous Kidney Diseases

The paper identifies causal protein drivers and drug targets for heterogeneous kidney diseases using proteome-wide Mendelian randomization and EHR data.

Genome-wide association study provides novel insight into the genetic architecture of severe obesity.

This study identifies novel genetic signals associated with severe obesity through GWAS and shows strong genetic overlap with BMI, highlighting shared comorbidities and lifestyle interactions.

Genetics of SSRI Antidepressant Use and Relationship to Psychiatric and Medical Traits

This study identifies 40 genome-wide significant loci for SSRI use and finds genetic correlations with psychiatric and medical traits, suggesting SSRI use is a proxy for MDD with distinct genetic architecture.

A contextual genomic perspective on physical activity and its relationship to health, well-being and illness

This study investigates the genetic basis of physical activity across different contexts and finds that leisure-time activity has distinct genetic influences and protective health effects.

Multi-ancestry genetic architecture of sleep duration and its relationship to other sleep and psychiatric phenotypes

This paper conducts a multi-ancestry GWAS of sleep duration, identifying 234 genome-wide significant loci and showing distinct genetic architecture from other sleep and psychiatric traits.

Primary Care Providers' Perspectives on Receiving Tier 1 Genomic Results from a National Study- the Million Veteran Program Return of Actionable Results (MVP-ROAR) Study

The paper explores primary care providers' experiences with receiving genetic results from a national biobank study, highlighting challenges in integrating genetic information into routine care.

A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances

This study identifies 17 genetic loci associated with sleep duration and lipid levels, offering potential druggable targets for dyslipidemia in individuals with sleep disturbances.

Protein identification for stroke progression via Mendelian Randomization in Million Veteran Program and UK Biobank

This study uses Mendelian randomization to identify two proteins, CCL27 and TNFRSF14, that influence subsequent cardiovascular events after a stroke, suggesting inflammation as a contributing factor.

Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program

Population-stratified GWAS of 2,068 traits in 635,969 Million Veteran Program participants, 29% genetically non-European, yields 98,485 associations and 57,601 fine-mapped signals with largely shared cross-population architecture.

Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran Program

This paper optimizes the SAIGE algorithm using GPUs to accelerate GWAS on large datasets, achieving 20x speedup on the Million Veteran Program data.

Introducing return of results in the Million Veteran Program: Design and pilot results of the MVP-ROAR Familial Hypercholesterolemia Study

The paper describes the design and pilot results of a study returning genetic results for familial hypercholesterolemia to MVP participants, showing a reduction in LDL-C after genetic counseling.

Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort

This study identifies correlates of risk for disinhibited behaviors in veterans using polygenic scores and electronic health records, finding strong associations with substance use disorders and related health outcomes.

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

This paper corrects collider bias in a GWAS of diabetes-related heart failure, identifying novel loci and showing bidirectional genetic associations between T2D and HF.

Genome-wide association analysis and Mendelian randomization proteomics identify novel protein biomarkers and drug targets for primary prevention of heart failure

This study identifies novel genetic risk variants and potential drug targets for heart failure using GWAS and Mendelian randomization proteomics.