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Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank

Cardiometabolic diseases are the leading cause of death worldwide. Despite a known genetic component, our understanding of these diseases remains incomplete. Here we analyzed the contribution of rare variants to 57 diseases and 26 cardiometabolic traits, using data from 200,337 UK Biobank participan...

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Autores principales: Jurgens, Sean J., Choi, Seung Hoan, Morrill, Valerie N., Chaffin, Mark, Pirruccello, James P., Halford, Jennifer L., Weng, Lu-Chen, Nauffal, Victor, Roselli, Carolina, Hall, Amelia W., Oetjens, Matthew T., Lagerman, Braxton, vanMaanen, David P., Aragam, Krishna G., Lunetta, Kathryn L., Haggerty, Christopher M., Lubitz, Steven A., Ellinor, Patrick T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930703/
https://www.ncbi.nlm.nih.gov/pubmed/35177841
http://dx.doi.org/10.1038/s41588-021-01011-w
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author Jurgens, Sean J.
Choi, Seung Hoan
Morrill, Valerie N.
Chaffin, Mark
Pirruccello, James P.
Halford, Jennifer L.
Weng, Lu-Chen
Nauffal, Victor
Roselli, Carolina
Hall, Amelia W.
Oetjens, Matthew T.
Lagerman, Braxton
vanMaanen, David P.
Aragam, Krishna G.
Lunetta, Kathryn L.
Haggerty, Christopher M.
Lubitz, Steven A.
Ellinor, Patrick T.
author_facet Jurgens, Sean J.
Choi, Seung Hoan
Morrill, Valerie N.
Chaffin, Mark
Pirruccello, James P.
Halford, Jennifer L.
Weng, Lu-Chen
Nauffal, Victor
Roselli, Carolina
Hall, Amelia W.
Oetjens, Matthew T.
Lagerman, Braxton
vanMaanen, David P.
Aragam, Krishna G.
Lunetta, Kathryn L.
Haggerty, Christopher M.
Lubitz, Steven A.
Ellinor, Patrick T.
author_sort Jurgens, Sean J.
collection PubMed
description Cardiometabolic diseases are the leading cause of death worldwide. Despite a known genetic component, our understanding of these diseases remains incomplete. Here we analyzed the contribution of rare variants to 57 diseases and 26 cardiometabolic traits, using data from 200,337 UK Biobank participants with whole-exome sequencing. We identified 57 gene-based associations, with broad replication of novel signals in Geisinger MyCode. There was a striking risk associated with mutations in known Mendelian disease genes, including MYBPC3, LDLR, GCK, PKD1 and TTN. Many genes showed independent convergence of rare and common variant evidence, including an association between GIGYF1 and type 2 diabetes. We identified several large-effect associations for height, and 18 unique genes associated with blood lipid or glucose levels. Finally, we found that between 1.0 and 2.4% of participants carried rare potentially pathogenic variants for cardiometabolic disorders. These findings may facilitate studies aimed at therapeutics and screening of these common disorders.
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spelling pubmed-89307032022-08-17 Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank Jurgens, Sean J. Choi, Seung Hoan Morrill, Valerie N. Chaffin, Mark Pirruccello, James P. Halford, Jennifer L. Weng, Lu-Chen Nauffal, Victor Roselli, Carolina Hall, Amelia W. Oetjens, Matthew T. Lagerman, Braxton vanMaanen, David P. Aragam, Krishna G. Lunetta, Kathryn L. Haggerty, Christopher M. Lubitz, Steven A. Ellinor, Patrick T. Nat Genet Article Cardiometabolic diseases are the leading cause of death worldwide. Despite a known genetic component, our understanding of these diseases remains incomplete. Here we analyzed the contribution of rare variants to 57 diseases and 26 cardiometabolic traits, using data from 200,337 UK Biobank participants with whole-exome sequencing. We identified 57 gene-based associations, with broad replication of novel signals in Geisinger MyCode. There was a striking risk associated with mutations in known Mendelian disease genes, including MYBPC3, LDLR, GCK, PKD1 and TTN. Many genes showed independent convergence of rare and common variant evidence, including an association between GIGYF1 and type 2 diabetes. We identified several large-effect associations for height, and 18 unique genes associated with blood lipid or glucose levels. Finally, we found that between 1.0 and 2.4% of participants carried rare potentially pathogenic variants for cardiometabolic disorders. These findings may facilitate studies aimed at therapeutics and screening of these common disorders. 2022-03 2022-02-17 /pmc/articles/PMC8930703/ /pubmed/35177841 http://dx.doi.org/10.1038/s41588-021-01011-w Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
spellingShingle Article
Jurgens, Sean J.
Choi, Seung Hoan
Morrill, Valerie N.
Chaffin, Mark
Pirruccello, James P.
Halford, Jennifer L.
Weng, Lu-Chen
Nauffal, Victor
Roselli, Carolina
Hall, Amelia W.
Oetjens, Matthew T.
Lagerman, Braxton
vanMaanen, David P.
Aragam, Krishna G.
Lunetta, Kathryn L.
Haggerty, Christopher M.
Lubitz, Steven A.
Ellinor, Patrick T.
Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
title Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
title_full Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
title_fullStr Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
title_full_unstemmed Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
title_short Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
title_sort analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the uk biobank
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930703/
https://www.ncbi.nlm.nih.gov/pubmed/35177841
http://dx.doi.org/10.1038/s41588-021-01011-w
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