Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
- PMID: 39024449
- DOI: 10.1126/science.adj1182
Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
Abstract
One of the justifiable criticisms of human genetic studies is the underrepresentation of participants from diverse populations. Lack of inclusion must be addressed at-scale to identify causal disease factors and understand the genetic causes of health disparities. We present genome-wide associations for 2068 traits from 635,969 participants in the Department of Veterans Affairs Million Veteran Program, a longitudinal study of diverse United States Veterans. Systematic analysis revealed 13,672 genomic risk loci; 1608 were only significant after including non-European populations. Fine-mapping identified causal variants at 6318 signals across 613 traits. One-third (n = 2069) were identified in participants from non-European populations. This reveals a broadly similar genetic architecture across populations, highlights genetic insights gained from underrepresented groups, and presents an extensive atlas of genetic associations.
Update of
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Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program.medRxiv [Preprint]. 2023 Jun 29:2023.06.28.23291975. doi: 10.1101/2023.06.28.23291975. medRxiv. 2023. Update in: Science. 2024 Jul 19;385(6706):eadj1182. doi: 10.1126/science.adj1182. PMID: 37425708 Free PMC article. Updated. Preprint.
Comment in
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Genomic diversity improves disease discovery for all.Science. 2024 Jul 19;385(6706):255-256. doi: 10.1126/science.adq7784. Epub 2024 Jul 18. Science. 2024. PMID: 39024460
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