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A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects
Cataract is the leading cause of blindness among the elderly worldwide and cataract surgery is one of the most common operations performed in the United States. As the genetic etiology of cataract formation remains unclear, we conducted a multiethnic genome-wide association meta-analysis, combining...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203611/ https://www.ncbi.nlm.nih.gov/pubmed/34127677 http://dx.doi.org/10.1038/s41467-021-23873-8 |
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author | Choquet, Hélène Melles, Ronald B. Anand, Deepti Yin, Jie Cuellar-Partida, Gabriel Wang, Wei Hoffmann, Thomas J. Nair, K. Saidas Hysi, Pirro G. Lachke, Salil A. Jorgenson, Eric |
author_facet | Choquet, Hélène Melles, Ronald B. Anand, Deepti Yin, Jie Cuellar-Partida, Gabriel Wang, Wei Hoffmann, Thomas J. Nair, K. Saidas Hysi, Pirro G. Lachke, Salil A. Jorgenson, Eric |
author_sort | Choquet, Hélène |
collection | PubMed |
description | Cataract is the leading cause of blindness among the elderly worldwide and cataract surgery is one of the most common operations performed in the United States. As the genetic etiology of cataract formation remains unclear, we conducted a multiethnic genome-wide association meta-analysis, combining results from the GERA and UK Biobank cohorts, and tested for replication in the 23andMe research cohort. We report 54 genome-wide significant loci, 37 of which were novel. Sex-stratified analyses identified CASP7 as an additional novel locus specific to women. We show that genes within or near 80% of the cataract-associated loci are significantly expressed and/or enriched-expressed in the mouse lens across various spatiotemporal stages as per iSyTE analysis. Furthermore, iSyTE shows 32 candidate genes in the associated loci have altered gene expression in 9 different gene perturbation mouse models of lens defects/cataract, suggesting their relevance to lens biology. Our work provides further insight into the complex genetic architecture of cataract susceptibility. |
format | Online Article Text |
id | pubmed-8203611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82036112021-07-01 A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects Choquet, Hélène Melles, Ronald B. Anand, Deepti Yin, Jie Cuellar-Partida, Gabriel Wang, Wei Hoffmann, Thomas J. Nair, K. Saidas Hysi, Pirro G. Lachke, Salil A. Jorgenson, Eric Nat Commun Article Cataract is the leading cause of blindness among the elderly worldwide and cataract surgery is one of the most common operations performed in the United States. As the genetic etiology of cataract formation remains unclear, we conducted a multiethnic genome-wide association meta-analysis, combining results from the GERA and UK Biobank cohorts, and tested for replication in the 23andMe research cohort. We report 54 genome-wide significant loci, 37 of which were novel. Sex-stratified analyses identified CASP7 as an additional novel locus specific to women. We show that genes within or near 80% of the cataract-associated loci are significantly expressed and/or enriched-expressed in the mouse lens across various spatiotemporal stages as per iSyTE analysis. Furthermore, iSyTE shows 32 candidate genes in the associated loci have altered gene expression in 9 different gene perturbation mouse models of lens defects/cataract, suggesting their relevance to lens biology. Our work provides further insight into the complex genetic architecture of cataract susceptibility. Nature Publishing Group UK 2021-06-14 /pmc/articles/PMC8203611/ /pubmed/34127677 http://dx.doi.org/10.1038/s41467-021-23873-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Choquet, Hélène Melles, Ronald B. Anand, Deepti Yin, Jie Cuellar-Partida, Gabriel Wang, Wei Hoffmann, Thomas J. Nair, K. Saidas Hysi, Pirro G. Lachke, Salil A. Jorgenson, Eric A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects |
title | A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects |
title_full | A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects |
title_fullStr | A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects |
title_full_unstemmed | A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects |
title_short | A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects |
title_sort | large multiethnic gwas meta-analysis of cataract identifies new risk loci and sex-specific effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203611/ https://www.ncbi.nlm.nih.gov/pubmed/34127677 http://dx.doi.org/10.1038/s41467-021-23873-8 |
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