J. Michael Gaziano

This paper conducts a genome-wide association study (GWAS) of epiretinal membrane (ERM) in three American populations, identifying significant risk loci and genetic correlations with other traits.

This study performs a GWAS of dementia in African-ancestry individuals, identifying risk loci and highlighting differences in gene expression.

This study compares the genetic architecture of heart failure with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF), finding distinct genetic associations and highlighting HFpEF's heterogeneity.

The paper examines differential associations of the IL6R variant across genetic ancestries and identifies trait differences that may inform targeted therapies.

This paper identifies genetic loci associated with short and long sleep duration through a cross-population meta-analysis and explores their genetic correlations and causal relationships with depression.

This study investigates the genetic and longitudinal relationship between posttraumatic stress disorder and coronary artery disease using genome-wide data and electronic health records.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

This study conducts a trans-ancestry GWAS using chronic ALT elevation as a proxy for NAFLD, identifies 77 significant loci, and validates 17 SNPs with histology and imaging data, revealing genetic links to metabolic and inflammatory traits.

This paper identifies 15 genome-wide significant loci for maximum habitual alcohol intake (MaxAlc) in 247,755 U.S. Veterans and shows strong genetic correlations with alcohol use disorder and psychiatric traits.

This study identifies genetic variants associated with severe COVID-19 and finds shared genetic architecture with complex diseases using EHR data from the Million Veteran Program.

The paper validates polygenic risk scores for schizophrenia, bipolar disorder, and depression using VA EHR data and shows their association with disease risk and hospitalization.

This study shows that FH genetic variants increase CAD risk even after adjusting for multiple LDL-C measurements from EHRs, indicating LDL-C data alone cannot fully explain the risk.

This study performs multi-trait GWAS on atherosclerosis-related traits to identify novel pleiotropic loci and their potential biological mechanisms.

This study analyzes ancestry diversity changes in the Million Veteran Program over time and shows that refined ancestry modeling reduces population stratification in GWAS of height.

This study identifies 424 new loci associated with kidney function using GWAS data from over 1.2 million individuals and prioritizes 34 genes for further functional investigation.

The paper uses a multi-layered approach combining GWAS, spatial autocorrelation, and Hi-C to identify novel genetic variants associated with pancreatic cancer susceptibility.

Multi-ethnic type 2 diabetes (T2D) meta-analysis of 228,499 cases and 1,178,783 controls finds 318 previously unreported loci, 804 expression-colocalized genes, and 13 SNP-by-T2D vascular-outcome interactions.

The paper describes the design and performance of the MVP 1.0 custom Axiom array for genotyping a diverse cohort, achieving high-quality genetic data with substantial ancestral diversity.

This study identifies 14 genome-wide significant loci and a polygenic signature for myeloproliferative neoplasms, implicating hematopoietic stem cell function and self-renewal in disease risk.

This paper develops an automated high-throughput phenotyping method (MAP) that improves phenotype accuracy and scalability for PheWAS studies.