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Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort

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 t...

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Autores principales: Nagpal, Sini, Tandon, Raghav, Gibson, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004416/
https://www.ncbi.nlm.nih.gov/pubmed/35275999
http://dx.doi.org/10.1093/molbev/msac053
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author Nagpal, Sini
Tandon, Raghav
Gibson, Greg
author_facet Nagpal, Sini
Tandon, Raghav
Gibson, Greg
author_sort Nagpal, Sini
collection PubMed
description 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/.
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spelling pubmed-90044162022-04-13 Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort Nagpal, Sini Tandon, Raghav Gibson, Greg Mol Biol Evol Discoveries 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/. Oxford University Press 2022-03-11 /pmc/articles/PMC9004416/ /pubmed/35275999 http://dx.doi.org/10.1093/molbev/msac053 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Nagpal, Sini
Tandon, Raghav
Gibson, Greg
Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort
title Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort
title_full Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort
title_fullStr Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort
title_full_unstemmed Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort
title_short Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort
title_sort canalization of the polygenic risk for common diseases and traits in the uk biobank cohort
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004416/
https://www.ncbi.nlm.nih.gov/pubmed/35275999
http://dx.doi.org/10.1093/molbev/msac053
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