| Title: | Polygenic Health Index, General Health, and Pleiotropy: Sibling Analysis and Disease Risk Reduction |
| Journal: | Scientific Reports |
| Published: | 28 Oct 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36307513/ |
| DOI: | https://doi.org/10.1038/s41598-022-22637-8 |
| URL: | https://www.nature.com/articles/s41598-022-22637-8.pdf |
| Citations: | 13 (12 in last 2 years) as of 8 Aug 2024 |
Publication 8104
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Abstract
We construct a polygenic health index as a weighted sum of polygenic risk scores for 20 major disease conditions, including, e.g., coronary artery disease, type 1 and 2 diabetes, schizophrenia, etc. Individual weights are determined by population-level estimates of impact on life expectancy. We validate this index in odds ratios and selection experiments using unrelated individuals and siblings (pairs and trios) from the UK Biobank. Individuals with higher index scores have decreased disease risk across almost all 20 diseases (no significant risk increases), and longer calculated life expectancy. When estimated Disability Adjusted Life Years (DALYs) are used as the performance metric, the gain from selection among ten individuals (highest index score vs average) is found to be roughly 4 DALYs. We find no statistical evidence for antagonistic trade-offs in risk reduction across these diseases. Correlations between genetic disease risks are found to be mostly positive and generally mild. These results have important implications for public health and also for fundamental issues such as pleiotropy and genetic architecture of human disease conditions.5 Authors
- Erik Widen
- Louis Lello
- Timothy G. Raben
- Laurent C. A. M. Tellier
- Stephen D. H. Hsu
1 Application
| Application ID | Title |
|---|---|
| 15326 | Compressed Sensing and high-dimensional statistical methods in complex trait genomics |
Enabling scientific discoveries that improve human health