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

Abstract:

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 (Ntotal~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 localizati...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-019-09184-z

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Role:
Author
ORCID:
0000-0002-1205-4685
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Role:
Author
ORCID:
0000-0002-7311-475X
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Publisher:
Springer Nature Publisher's website
Journal:
Nature Communications Journal website
Volume:
10
Issue:
1
Article number:
1209
Publication date:
2019-03-14
Acceptance date:
2019-02-25
DOI:
EISSN:
2041-1723
Pmid:
30872577
Source identifiers:
983381
Language:
English
Keywords:
Pubs id:
pubs:983381
UUID:
uuid:36ef2507-7987-46ed-b3ce-c20910caaff6
Local pid:
pubs:983381
Deposit date:
2019-04-09

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