Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.
Verma A, Huffman JE, Rodriguez A et al.
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Abstract
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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.
4,684 African American or Afro-Caribbean cases, 50,821 African American or Afro-Caribbean controls, 2,687 Hispanic or Latin American cases, 26,627 Hispanic or Latin American controls, 329 East Asian ancestry cases, 3,218 East Asian ancestry controls, 44,681 European ancestry cases, 270,987 European ancestry controls
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