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Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences
Loci identified in genome-wide association studies (GWAS) can include multiple distinct association signals. We sought to identify the molecular basis of multiple association signals for adiponectin, a hormone involved in glucose regulation secreted almost exclusively from adipose tissue, identified...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511027/ https://www.ncbi.nlm.nih.gov/pubmed/32915782 http://dx.doi.org/10.1371/journal.pgen.1009019 |
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author | Spracklen, Cassandra N. Iyengar, Apoorva K. Vadlamudi, Swarooparani Raulerson, Chelsea K. Jackson, Anne U. Brotman, Sarah M. Wu, Ying Cannon, Maren E. Davis, James P. Crain, Aaron T. Currin, Kevin W. Perrin, Hannah J. Narisu, Narisu Stringham, Heather M. Fuchsberger, Christian Locke, Adam E. Welch, Ryan P. Kuusisto, Johanna K. Pajukanta, Päivi Scott, Laura J. Li, Yun Collins, Francis S. Boehnke, Michael Laakso, Markku Mohlke, Karen L. |
author_facet | Spracklen, Cassandra N. Iyengar, Apoorva K. Vadlamudi, Swarooparani Raulerson, Chelsea K. Jackson, Anne U. Brotman, Sarah M. Wu, Ying Cannon, Maren E. Davis, James P. Crain, Aaron T. Currin, Kevin W. Perrin, Hannah J. Narisu, Narisu Stringham, Heather M. Fuchsberger, Christian Locke, Adam E. Welch, Ryan P. Kuusisto, Johanna K. Pajukanta, Päivi Scott, Laura J. Li, Yun Collins, Francis S. Boehnke, Michael Laakso, Markku Mohlke, Karen L. |
author_sort | Spracklen, Cassandra N. |
collection | PubMed |
description | Loci identified in genome-wide association studies (GWAS) can include multiple distinct association signals. We sought to identify the molecular basis of multiple association signals for adiponectin, a hormone involved in glucose regulation secreted almost exclusively from adipose tissue, identified in the Metabolic Syndrome in Men (METSIM) study. With GWAS data for 9,262 men, four loci were significantly associated with adiponectin: ADIPOQ, CDH13, IRS1, and PBRM1. We performed stepwise conditional analyses to identify distinct association signals, a subset of which are also nearly independent (lead variant pairwise r(2)<0.01). Two loci exhibited allelic heterogeneity, ADIPOQ and CDH13. Of seven association signals at the ADIPOQ locus, two signals colocalized with adipose tissue expression quantitative trait loci (eQTLs) for three transcripts: trait-increasing alleles at one signal were associated with increased ADIPOQ and LINC02043, while trait-increasing alleles at the other signal were associated with decreased ADIPOQ-AS1. In reporter assays, adiponectin-increasing alleles at two signals showed corresponding directions of effect on transcriptional activity. Putative mechanisms for the seven ADIPOQ signals include a missense variant (ADIPOQ G90S), a splice variant, a promoter variant, and four enhancer variants. Of two association signals at the CDH13 locus, the first signal consisted of promoter variants, including the lead adipose tissue eQTL variant for CDH13, while a second signal included a distal intron 1 enhancer variant that showed ~2-fold allelic differences in transcriptional reporter activity. Fine-mapping and experimental validation demonstrated that multiple, distinct association signals at these loci can influence multiple transcripts through multiple molecular mechanisms. |
format | Online Article Text |
id | pubmed-7511027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75110272020-10-01 Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences Spracklen, Cassandra N. Iyengar, Apoorva K. Vadlamudi, Swarooparani Raulerson, Chelsea K. Jackson, Anne U. Brotman, Sarah M. Wu, Ying Cannon, Maren E. Davis, James P. Crain, Aaron T. Currin, Kevin W. Perrin, Hannah J. Narisu, Narisu Stringham, Heather M. Fuchsberger, Christian Locke, Adam E. Welch, Ryan P. Kuusisto, Johanna K. Pajukanta, Päivi Scott, Laura J. Li, Yun Collins, Francis S. Boehnke, Michael Laakso, Markku Mohlke, Karen L. PLoS Genet Research Article Loci identified in genome-wide association studies (GWAS) can include multiple distinct association signals. We sought to identify the molecular basis of multiple association signals for adiponectin, a hormone involved in glucose regulation secreted almost exclusively from adipose tissue, identified in the Metabolic Syndrome in Men (METSIM) study. With GWAS data for 9,262 men, four loci were significantly associated with adiponectin: ADIPOQ, CDH13, IRS1, and PBRM1. We performed stepwise conditional analyses to identify distinct association signals, a subset of which are also nearly independent (lead variant pairwise r(2)<0.01). Two loci exhibited allelic heterogeneity, ADIPOQ and CDH13. Of seven association signals at the ADIPOQ locus, two signals colocalized with adipose tissue expression quantitative trait loci (eQTLs) for three transcripts: trait-increasing alleles at one signal were associated with increased ADIPOQ and LINC02043, while trait-increasing alleles at the other signal were associated with decreased ADIPOQ-AS1. In reporter assays, adiponectin-increasing alleles at two signals showed corresponding directions of effect on transcriptional activity. Putative mechanisms for the seven ADIPOQ signals include a missense variant (ADIPOQ G90S), a splice variant, a promoter variant, and four enhancer variants. Of two association signals at the CDH13 locus, the first signal consisted of promoter variants, including the lead adipose tissue eQTL variant for CDH13, while a second signal included a distal intron 1 enhancer variant that showed ~2-fold allelic differences in transcriptional reporter activity. Fine-mapping and experimental validation demonstrated that multiple, distinct association signals at these loci can influence multiple transcripts through multiple molecular mechanisms. Public Library of Science 2020-09-11 /pmc/articles/PMC7511027/ /pubmed/32915782 http://dx.doi.org/10.1371/journal.pgen.1009019 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Spracklen, Cassandra N. Iyengar, Apoorva K. Vadlamudi, Swarooparani Raulerson, Chelsea K. Jackson, Anne U. Brotman, Sarah M. Wu, Ying Cannon, Maren E. Davis, James P. Crain, Aaron T. Currin, Kevin W. Perrin, Hannah J. Narisu, Narisu Stringham, Heather M. Fuchsberger, Christian Locke, Adam E. Welch, Ryan P. Kuusisto, Johanna K. Pajukanta, Päivi Scott, Laura J. Li, Yun Collins, Francis S. Boehnke, Michael Laakso, Markku Mohlke, Karen L. Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
title | Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
title_full | Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
title_fullStr | Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
title_full_unstemmed | Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
title_short | Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
title_sort | adiponectin gwas loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511027/ https://www.ncbi.nlm.nih.gov/pubmed/32915782 http://dx.doi.org/10.1371/journal.pgen.1009019 |
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