| Title: | Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort |
| Journal: | Molecular Biology and Evolution |
| Published: | 11 Mar 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35275999/ |
| DOI: | https://doi.org/10.1093/molbev/msac053 |
| URL: | https://academic.oup.com/mbe/article-pdf/39/4/msac053/43374235/msac053.pdf |
| Citations: | 12 (9 in last 2 years) as of 8 Aug 2024 |
Publication 12479
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Abstract
Since organisms develop and thrive in the face of constant perturbations due to environmental and genetic variation, species may evolve resilient genetic architectures. We sought evidence for this process, known as canalization, through a comparison of the prevalence of phenotypes as a function of the polygenic score (PGS) across environments in the UK Biobank cohort study. Contrasting seven diseases and three categorical phenotypes with respect to 151 exposures in 408,925 people, the deviation between the prevalence-risk curves was observed to increase monotonically with the PGS percentile in one-fifth of the comparisons, suggesting extensive PGS-by-Environment (PGS×E) interaction. After adjustment for the dependency of allelic effect sizes on increased prevalence in the perturbing environment, cases where polygenic influences are greater or lesser than expected are seen to be particularly pervasive for educational attainment, obesity, and metabolic condition type-2 diabetes. Inflammatory bowel disease analysis shows fewer interactions but confirms that smoking and some aspects of diet influence risk. Notably, body mass index has more evidence for decanalization (increased genetic influence at the extremes of polygenic risk), whereas the waist-to-hip ratio shows canalization, reflecting different evolutionary pressures on the architectures of these weight-related traits. An additional 10 % of comparisons showed evidence for an additive shift of prevalence independent of PGS between exposures. These results provide the first widespread evidence for canalization protecting against disease in humans and have implications for personalized medicine as well as understanding the evolution of complex traits. The findings can be explored through an R shiny app at https://canalization-gibsonlab.shinyapps.io/rshiny/.</p>
6 Keywords
- Biological Specimen Banks
- Cohort Studies
- Humans
- Multifactorial Inheritance
- Phenotype
- United Kingdom
3 Authors
- Sini Nagpal
- Raghav Tandon
- Greg Gibson
1 Application
| Application ID | Title |
|---|---|
| 17984 | Genotype-environment interactions and sub-classification of disease |
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