AI Article Synopsis
- Human genetic studies often lack diversity, which limits understanding of disease causes and health disparities.
- The Department of Veterans Affairs Million Veteran Program analyzed data from a diverse group of 635,969 veterans, revealing 13,672 genomic risk loci, with significant findings particularly from non-European populations.
- The research identified causal variants across 613 traits, showing that genetic similarities exist across populations and emphasizing the importance of including underrepresented groups in genetic research.
Article 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.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1126/science.adj1182 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!