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Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements
Sparse profiling of CpG methylation in blood by microarrays has identified epigenetic links to common diseases. Here we apply methylC-capture sequencing (MCC-Seq) in a clinical population of ~200 adipose tissue and matched blood samples (N(total)~400), providing high-resolution methylation profiling...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418220/ https://www.ncbi.nlm.nih.gov/pubmed/30872577 http://dx.doi.org/10.1038/s41467-019-09184-z |
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author | Allum, Fiona Hedman, Åsa K. Shao, Xiaojian Cheung, Warren A. Vijay, Jinchu Guénard, Frédéric Kwan, Tony Simon, Marie-Michelle Ge, Bing Moura, Cristiano Boulier, Elodie Rönnblom, Lars Bernatsky, Sasha Lathrop, Mark McCarthy, Mark I. Deloukas, Panos Tchernof, André Pastinen, Tomi Vohl, Marie-Claude Grundberg, Elin |
author_facet | Allum, Fiona Hedman, Åsa K. Shao, Xiaojian Cheung, Warren A. Vijay, Jinchu Guénard, Frédéric Kwan, Tony Simon, Marie-Michelle Ge, Bing Moura, Cristiano Boulier, Elodie Rönnblom, Lars Bernatsky, Sasha Lathrop, Mark McCarthy, Mark I. Deloukas, Panos Tchernof, André Pastinen, Tomi Vohl, Marie-Claude Grundberg, Elin |
author_sort | Allum, Fiona |
collection | PubMed |
description | Sparse profiling of CpG methylation in blood by microarrays has identified epigenetic links to common diseases. Here we apply methylC-capture sequencing (MCC-Seq) in a clinical population of ~200 adipose tissue and matched blood samples (N(total)~400), providing high-resolution methylation profiling (>1.3 M CpGs) at regulatory elements. We link methylation to cardiometabolic risk through associations to circulating plasma lipid levels and identify lipid-associated CpGs with unique localization patterns in regulatory elements. We show distinct features of tissue-specific versus tissue-independent lipid-linked regulatory regions by contrasting with parallel assessments in ~800 independent adipose tissue and blood samples from the general population. We follow-up on adipose-specific regulatory regions under (1) genetic and (2) epigenetic (environmental) regulation via integrational studies. Overall, the comprehensive sequencing of regulatory element methylomes reveals a rich landscape of functional variants linked genetically as well as epigenetically to plasma lipid traits. |
format | Online Article Text |
id | pubmed-6418220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64182202019-03-18 Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements Allum, Fiona Hedman, Åsa K. Shao, Xiaojian Cheung, Warren A. Vijay, Jinchu Guénard, Frédéric Kwan, Tony Simon, Marie-Michelle Ge, Bing Moura, Cristiano Boulier, Elodie Rönnblom, Lars Bernatsky, Sasha Lathrop, Mark McCarthy, Mark I. Deloukas, Panos Tchernof, André Pastinen, Tomi Vohl, Marie-Claude Grundberg, Elin Nat Commun Article Sparse profiling of CpG methylation in blood by microarrays has identified epigenetic links to common diseases. Here we apply methylC-capture sequencing (MCC-Seq) in a clinical population of ~200 adipose tissue and matched blood samples (N(total)~400), providing high-resolution methylation profiling (>1.3 M CpGs) at regulatory elements. We link methylation to cardiometabolic risk through associations to circulating plasma lipid levels and identify lipid-associated CpGs with unique localization patterns in regulatory elements. We show distinct features of tissue-specific versus tissue-independent lipid-linked regulatory regions by contrasting with parallel assessments in ~800 independent adipose tissue and blood samples from the general population. We follow-up on adipose-specific regulatory regions under (1) genetic and (2) epigenetic (environmental) regulation via integrational studies. Overall, the comprehensive sequencing of regulatory element methylomes reveals a rich landscape of functional variants linked genetically as well as epigenetically to plasma lipid traits. Nature Publishing Group UK 2019-03-14 /pmc/articles/PMC6418220/ /pubmed/30872577 http://dx.doi.org/10.1038/s41467-019-09184-z Text en © The Author(s) 2019 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 Allum, Fiona Hedman, Åsa K. Shao, Xiaojian Cheung, Warren A. Vijay, Jinchu Guénard, Frédéric Kwan, Tony Simon, Marie-Michelle Ge, Bing Moura, Cristiano Boulier, Elodie Rönnblom, Lars Bernatsky, Sasha Lathrop, Mark McCarthy, Mark I. Deloukas, Panos Tchernof, André Pastinen, Tomi Vohl, Marie-Claude Grundberg, Elin Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
title | Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
title_full | Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
title_fullStr | Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
title_full_unstemmed | Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
title_short | Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
title_sort | dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418220/ https://www.ncbi.nlm.nih.gov/pubmed/30872577 http://dx.doi.org/10.1038/s41467-019-09184-z |
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