Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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
_version_ 1783403690646831104
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
work_keys_str_mv AT allumfiona dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT hedmanasak dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT shaoxiaojian dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT cheungwarrena dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT vijayjinchu dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT guenardfrederic dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT kwantony dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT simonmariemichelle dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT gebing dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT mouracristiano dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT boulierelodie dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT ronnblomlars dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT bernatskysasha dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT lathropmark dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT mccarthymarki dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT deloukaspanos dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT tchernofandre dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT pastinentomi dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT vohlmarieclaude dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements
AT grundbergelin dissectingfeaturesofepigeneticvariantsunderlyingcardiometabolicriskusingfullresolutionepigenomeprofilinginregulatoryelements