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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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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. |
format | Online Article Text |
id | pubmed-8930703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
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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