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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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