the VA Million Veteran Program

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.

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.

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.

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.

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.

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.

Novel Genetic Loci Associated with Osteoarthritis in Multi-Ancestry Analyses in 484,374 Participants from MVP and the UK Biobank.

The paper identifies 10 novel genetic loci associated with osteoarthritis in multi-ancestry analyses of 484,374 participants from MVP and UK Biobank, with some regions robust across populations.

Multi-trait GWAS of atherosclerosis detects novel pleiotropic loci

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

GWAS of Depression Phenotypes in the Million Veteran Program and Meta-analysis in More than 1.2 Million Participants Yields 178 Independent Risk Loci

This study identifies 178 independent risk loci for depression through a large meta-analysis across multiple cohorts, including fine-mapping and transcriptome-wide association findings.

Assessing a causal relationship between circulating lipids and breast cancer risk: Mendelian randomization study

This study uses Mendelian randomization to assess the causal relationship between plasma lipid levels and breast cancer risk, finding that higher HDL levels are associated with increased breast cancer risk.

Meta-analysis of problematic alcohol use in 435,563 individuals identifies 29 risk variants and yields insights into biology, pleiotropy and causality

This study identifies 29 risk variants for problematic alcohol use through a large meta-analysis and explores its genetic relationships with other traits.