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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Nature Portfolio
2019
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oai:doaj.org-article:d86745923e464df081cb361accc4f6fc2021-12-02T17:01:46ZDissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements10.1038/s41467-019-09184-z2041-1723https://doaj.org/article/d86745923e464df081cb361accc4f6fc2019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09184-zhttps://doaj.org/toc/2041-1723Obesity 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.Fiona AllumÅsa K. HedmanXiaojian ShaoWarren A. CheungJinchu VijayFrédéric GuénardTony KwanMarie-Michelle SimonBing GeCristiano MouraElodie BoulierLars RönnblomSasha BernatskyMark LathropMark I. McCarthyPanos DeloukasAndré TchernofTomi PastinenMarie-Claude VohlElin GrundbergNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019) |
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DOAJ |
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DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q 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 Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
| description |
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. |
| format |
article |
| author |
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 |
| author_facet |
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 |
| author_sort |
Fiona Allum |
| title |
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_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_sort |
dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements |
| publisher |
Nature Portfolio |
| publishDate |
2019 |
| url |
https://doaj.org/article/d86745923e464df081cb361accc4f6fc |
| work_keys_str_mv |
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