PuSH - Publikationsserver des Helmholtz Zentrums München: Epigenetics meets metabolomics: An epigenome-wide association study with blood serum metabolic traits.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Petersen, A.-K. ; Zeilinger, S. ; Kastenmüller, G. ; Römisch-Margl, W. ; Brugger, M. ; Peters, A. ; Meisinger, C. ; Strauch, K. ; Hengstenberg, C.* ; Pagel, P.* ; Huber, F.* ; Mohney, R.P.* ; Grallert, H. ; Illig, T.* ; Adamski, J. ; Waldenberger, M. ; Gieger, C. ; Suhre, K.

Epigenetics meets metabolomics: An epigenome-wide association study with blood serum metabolic traits.

Hum. Mol. Genet. 23, 534-545 (2014)

Verlagsversion Verlagsversion

DOI

PMC

	Closed

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

Previously, we reported strong influences of genetic variants on metabolic phenotypes, some of them with clinical relevance. Here we hypothesize that DNA methylation may have an important and potentially independent effect on human metabolism. To test this hypothesis we conducted what is to the best of our knowledge the first epigenome-wide association study (EWAS) between DNA methylation and metabolic traits (metabotypes) in human blood. We assess 649 blood metabolic traits from 1,814 participants of the KORA population study for association with methylation of 457,004 CpG sites, determined on the Infinium HumanMethylation450 BeadChip platform. Using the EWAS approach, we identified two types of methylome-metabotype associations. One type is driven by an underlying genetic effect; the other type is independent of genetic variation and potentially driven by common environmental and life-style dependent factors. We report eight CpG loci at genome-wide significance that have a genetic variant as confounder (p=3.9x10^-20 to 2.0x10^-108, r²=0.036 to 0.221). Seven loci display CpG-site-specific associations to metabotypes, but do not exhibit any underlying genetic signals (p=9.2x10^-14 to 2.7x10^-27, r²=0.008 to 0.107). We further identify several groups of CpG loci that associate with a same metabotype, such as 4-vinylphenol sulfate and 4-androsten-3beta,17beta-diol disulfate. In these cases the association between CpG-methylation and metabotype are likely the result of a common external environmental factor, including smoking. Our study shows that analysis of EWAS with large numbers of metabolic traits in large population cohorts are, in principle, feasible. Taken together, our data suggests that DNA methylation plays an important role in regulating human metabolism.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Scopus
Cited By

Altmetric

7.692

1.583

123

143