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Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease
Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915445/ https://www.ncbi.nlm.nih.gov/pubmed/29691411 http://dx.doi.org/10.1038/s41467-018-03911-8 |
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author | Emdin, Connor A. Khera, Amit V. Chaffin, Mark Klarin, Derek Natarajan, Pradeep Aragam, Krishna Haas, Mary Bick, Alexander Zekavat, Seyedeh M. Nomura, Akihiro Ardissino, Diego Wilson, James G. Schunkert, Heribert McPherson, Ruth Watkins, Hugh Elosua, Roberto Bown, Matthew J. Samani, Nilesh J. Baber, Usman Erdmann, Jeanette Gupta, Namrata Danesh, John Chasman, Daniel Ridker, Paul Denny, Joshua Bastarache, Lisa Lichtman, Judith H. D’Onofrio, Gail Mattera, Jennifer Spertus, John A. Sheu, Wayne H.-H. Taylor, Kent D. Psaty, Bruce M. Rich, Stephen S. Post, Wendy Rotter, Jerome I. Chen, Yii-Der Ida Krumholz, Harlan Saleheen, Danish Gabriel, Stacey Kathiresan, Sekar |
author_facet | Emdin, Connor A. Khera, Amit V. Chaffin, Mark Klarin, Derek Natarajan, Pradeep Aragam, Krishna Haas, Mary Bick, Alexander Zekavat, Seyedeh M. Nomura, Akihiro Ardissino, Diego Wilson, James G. Schunkert, Heribert McPherson, Ruth Watkins, Hugh Elosua, Roberto Bown, Matthew J. Samani, Nilesh J. Baber, Usman Erdmann, Jeanette Gupta, Namrata Danesh, John Chasman, Daniel Ridker, Paul Denny, Joshua Bastarache, Lisa Lichtman, Judith H. D’Onofrio, Gail Mattera, Jennifer Spertus, John A. Sheu, Wayne H.-H. Taylor, Kent D. Psaty, Bruce M. Rich, Stephen S. Post, Wendy Rotter, Jerome I. Chen, Yii-Der Ida Krumholz, Harlan Saleheen, Danish Gabriel, Stacey Kathiresan, Sekar |
author_sort | Emdin, Connor A. |
collection | PubMed |
description | Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency < 5%) pLOF variant-phenotype associations. pLOF variants in the gene GPR151 protect against obesity and type 2 diabetes, in the gene IL33 against asthma and allergic disease, and in the gene IFIH1 against hypothyroidism. In the gene PDE3B, pLOF variants associate with elevated height, improved body fat distribution and protection from coronary artery disease. Our findings prioritize genes for which pharmacologic mimics of pLOF variants may lower risk for disease. |
format | Online Article Text |
id | pubmed-5915445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59154452018-04-27 Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease Emdin, Connor A. Khera, Amit V. Chaffin, Mark Klarin, Derek Natarajan, Pradeep Aragam, Krishna Haas, Mary Bick, Alexander Zekavat, Seyedeh M. Nomura, Akihiro Ardissino, Diego Wilson, James G. Schunkert, Heribert McPherson, Ruth Watkins, Hugh Elosua, Roberto Bown, Matthew J. Samani, Nilesh J. Baber, Usman Erdmann, Jeanette Gupta, Namrata Danesh, John Chasman, Daniel Ridker, Paul Denny, Joshua Bastarache, Lisa Lichtman, Judith H. D’Onofrio, Gail Mattera, Jennifer Spertus, John A. Sheu, Wayne H.-H. Taylor, Kent D. Psaty, Bruce M. Rich, Stephen S. Post, Wendy Rotter, Jerome I. Chen, Yii-Der Ida Krumholz, Harlan Saleheen, Danish Gabriel, Stacey Kathiresan, Sekar Nat Commun Article Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency < 5%) pLOF variant-phenotype associations. pLOF variants in the gene GPR151 protect against obesity and type 2 diabetes, in the gene IL33 against asthma and allergic disease, and in the gene IFIH1 against hypothyroidism. In the gene PDE3B, pLOF variants associate with elevated height, improved body fat distribution and protection from coronary artery disease. Our findings prioritize genes for which pharmacologic mimics of pLOF variants may lower risk for disease. Nature Publishing Group UK 2018-04-24 /pmc/articles/PMC5915445/ /pubmed/29691411 http://dx.doi.org/10.1038/s41467-018-03911-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Emdin, Connor A. Khera, Amit V. Chaffin, Mark Klarin, Derek Natarajan, Pradeep Aragam, Krishna Haas, Mary Bick, Alexander Zekavat, Seyedeh M. Nomura, Akihiro Ardissino, Diego Wilson, James G. Schunkert, Heribert McPherson, Ruth Watkins, Hugh Elosua, Roberto Bown, Matthew J. Samani, Nilesh J. Baber, Usman Erdmann, Jeanette Gupta, Namrata Danesh, John Chasman, Daniel Ridker, Paul Denny, Joshua Bastarache, Lisa Lichtman, Judith H. D’Onofrio, Gail Mattera, Jennifer Spertus, John A. Sheu, Wayne H.-H. Taylor, Kent D. Psaty, Bruce M. Rich, Stephen S. Post, Wendy Rotter, Jerome I. Chen, Yii-Der Ida Krumholz, Harlan Saleheen, Danish Gabriel, Stacey Kathiresan, Sekar Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease |
title | Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease |
title_full | Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease |
title_fullStr | Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease |
title_full_unstemmed | Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease |
title_short | Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease |
title_sort | analysis of predicted loss-of-function variants in uk biobank identifies variants protective for disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915445/ https://www.ncbi.nlm.nih.gov/pubmed/29691411 http://dx.doi.org/10.1038/s41467-018-03911-8 |
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