Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements

Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements

Obesity and related metabolic complications represent an important health burden. Here the authors carry out a methylC-capture sequencing-based epigenome-wide association study to link circulating plasma lipid levels, CpG methylation and cardiometabolic risk across adipose and blood tissues.

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Detalles Bibliográficos
Autores principales: Fiona Allum, Åsa K. Hedman, Xiaojian Shao, Warren A. Cheung, Jinchu Vijay, Frédéric Guénard, Tony Kwan, Marie-Michelle Simon, Bing Ge, Cristiano Moura, Elodie Boulier, Lars Rönnblom, Sasha Bernatsky, Mark Lathrop, Mark I. McCarthy, Panos Deloukas, André Tchernof, Tomi Pastinen, Marie-Claude Vohl, Elin Grundberg
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Science
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Acceso en línea:https://doaj.org/article/d86745923e464df081cb361accc4f6fc
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Descripción
Sumario:Obesity and related metabolic complications represent an important health burden. Here the authors carry out a methylC-capture sequencing-based epigenome-wide association study to link circulating plasma lipid levels, CpG methylation and cardiometabolic risk across adipose and blood tissues.

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