John Concato

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.

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.

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

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.

This paper conducts GWAS on anxiety traits in the Million Veteran Program, identifying significant genetic loci and demonstrating genetic overlap with depression.

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 genetic loci associated with PTSD and its symptoms using a large veteran cohort, showing high genetic correlations between symptom sub-domains and potential drug targets.

This study identifies 18 genome-wide significant loci for alcohol consumption and AUD, finds genetic overlap but also divergence, and highlights the role of central nervous system cells.