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Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk
The extent to which genetic influences on cardiovascular disease risk are mediated by changes in DNA methylation levels has not been systematically explored. We developed an analytical framework that integrates genetic fine mapping and Mendelian randomization with epigenome-wide association studies...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630190/ https://www.ncbi.nlm.nih.gov/pubmed/28985495 http://dx.doi.org/10.1016/j.ajhg.2017.09.003 |
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author | Richardson, Tom G. Zheng, Jie Davey Smith, George Timpson, Nicholas J. Gaunt, Tom R. Relton, Caroline L. Hemani, Gibran |
author_facet | Richardson, Tom G. Zheng, Jie Davey Smith, George Timpson, Nicholas J. Gaunt, Tom R. Relton, Caroline L. Hemani, Gibran |
author_sort | Richardson, Tom G. |
collection | PubMed |
description | The extent to which genetic influences on cardiovascular disease risk are mediated by changes in DNA methylation levels has not been systematically explored. We developed an analytical framework that integrates genetic fine mapping and Mendelian randomization with epigenome-wide association studies to evaluate the causal relationships between methylation levels and 14 cardiovascular disease traits. We identified ten genetic loci known to influence proximal DNA methylation which were also associated with cardiovascular traits after multiple-testing correction. Bivariate fine mapping provided evidence that the individual variants responsible for the observed effects on cardiovascular traits at the ADCY3 and ADIPOQ loci were potentially mediated through changes in DNA methylation, although we highlight that we are unable to reliably separate causality from horizontal pleiotropy. Estimates of causal effects were replicated with results from large-scale consortia. Genetic variants and CpG sites identified in this study were enriched for histone mark peaks in relevant tissue types and gene promoter regions. Integrating our results with expression quantitative trait loci data, we provide evidence that variation at these regulatory regions is likely to also influence gene expression levels at these loci. |
format | Online Article Text |
id | pubmed-5630190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56301902018-04-05 Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk Richardson, Tom G. Zheng, Jie Davey Smith, George Timpson, Nicholas J. Gaunt, Tom R. Relton, Caroline L. Hemani, Gibran Am J Hum Genet Article The extent to which genetic influences on cardiovascular disease risk are mediated by changes in DNA methylation levels has not been systematically explored. We developed an analytical framework that integrates genetic fine mapping and Mendelian randomization with epigenome-wide association studies to evaluate the causal relationships between methylation levels and 14 cardiovascular disease traits. We identified ten genetic loci known to influence proximal DNA methylation which were also associated with cardiovascular traits after multiple-testing correction. Bivariate fine mapping provided evidence that the individual variants responsible for the observed effects on cardiovascular traits at the ADCY3 and ADIPOQ loci were potentially mediated through changes in DNA methylation, although we highlight that we are unable to reliably separate causality from horizontal pleiotropy. Estimates of causal effects were replicated with results from large-scale consortia. Genetic variants and CpG sites identified in this study were enriched for histone mark peaks in relevant tissue types and gene promoter regions. Integrating our results with expression quantitative trait loci data, we provide evidence that variation at these regulatory regions is likely to also influence gene expression levels at these loci. Elsevier 2017-10-05 2017-10-05 /pmc/articles/PMC5630190/ /pubmed/28985495 http://dx.doi.org/10.1016/j.ajhg.2017.09.003 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Richardson, Tom G. Zheng, Jie Davey Smith, George Timpson, Nicholas J. Gaunt, Tom R. Relton, Caroline L. Hemani, Gibran Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk |
title | Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk |
title_full | Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk |
title_fullStr | Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk |
title_full_unstemmed | Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk |
title_short | Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk |
title_sort | mendelian randomization analysis identifies cpg sites as putative mediators for genetic influences on cardiovascular disease risk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630190/ https://www.ncbi.nlm.nih.gov/pubmed/28985495 http://dx.doi.org/10.1016/j.ajhg.2017.09.003 |
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