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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.
Academic Publication Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
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Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
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What is the core focus of the research titled 'Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program'?
This literature focuses on: 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 he...
Are there open-source GitHub repositories related to Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program?
Yes, open-source projects like OranAi-Ltd/oransim (Causal Digital Twin for Marketing at Scale · Predict any marketing decision before you spend a dollar.) are actively building upon these concepts.
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What other academic literature is closely related to 'Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program'?
Yes, highly correlated activity was mapped. An entry titled 'Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program' discusses this: One of the justifiable criticisms of human genetic studies is the underrepresentation of participants from diverse populations. Lack of inclusion m...
How is the concept of 'Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program' being discussed by engineers on Hacker News?
Yes, highly correlated activity was mapped. An entry titled 'Show HN: We fingerprinted 178 AI models' writing styles and similarity clusters' discusses this: This analysis provides quantitative insights into AI model stylistic differentiation and convergence. Identifying 'clone clusters' with high cosine...
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