Article

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

2020-05-21

Abstract excerpt

<h4>ABSTRACT</h4> We report a large meta-analysis of depression using data from the Million Veteran Program (MVP), 23andMe Inc., UK Biobank, and FinnGen; including individuals of European ancestry (n=1,154,267; 340,591 cases) and African ancestry (n=59,600; 25,843 cases). We identified 223 and 233 independent SNPs associated with depression in European ancestry and transancestral analysis, respectively. Genetic c...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0be38d03-b1f2-5052-bcd2-3539792db17b
DOI: 10.1101/2020.05.18.20100685

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

GWAS of Depression Phenotypes in the Million Veteran Program and Meta-analysis in More than 1.2 Million Participants Yields 178 Independent Risk LociDOI 10.1101/2020.05.18.20100685Read

Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions.Semantic proximity Read

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.Semantic proximity Read

Clustering of major depressive disorder genetic instruments identifies distinct and directionally opposing effects on cardiometabolic riskSemantic proximity Read

Genome-wide association study of depression phenotypes in UK Biobank (n = 322,580) identifies the enrichment of variants in excitatory synaptic pathwaysSemantic proximity Read

Exome-wide screening identifies novel rare risk variants for major depression disorder.Semantic proximity Read

The Role of Genetic Data in Dissecting Depression Heterogeneity.Semantic proximity Read

Characterizing the Genetic Landscape of Major Depression through Multiple-trait and Cross-ancestry GWAS Meta-Analysis of 1,396,021 IndividualsSemantic proximity Read

Delineating the Genetic Component of Gene Expression in Major Depression.Semantic proximity Read

Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Semantic proximity Read

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.Semantic proximity Read

Transcriptome-wide association study identifies new susceptibility genes and pathways for depression.Semantic proximity Read

Phenomic Network Analysis for Depression Reveals Comorbidity Architecture, Genomic Relationships, and Pleiotropic VariantsSemantic proximity Read