Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.
| Authors | |
| 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 ( = 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. |
| Year of Publication | 2024
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| Journal | Science (New York, N.Y.)
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| Volume | 385
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| Issue | 6706
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| Pages | eadj1182
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| Date Published | 07/2024
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| ISSN | 1095-9203
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| DOI | 10.1126/science.adj1182
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| PubMed ID | 39024449
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