PuSH - Publikationsserver des Helmholtz Zentrums München: Association between usual dietary intake of food groups and DNA methylation and effect modification by metabotype in the KORA FF4 cohort.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

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

Hellbach, F.* ; Baumeister, S.* ; Wilson, R. ; Wawro, N.* ; Dahal, C.* ; Freuer, D.* ; Hauner, H.* ; Peters, A. ; Winkelmann, J. ; Schwettmann, L. ; Rathmann, W.* ; Kronenberg, F.* ; Koenig, W.* ; Meisinger, C.* ; Waldenberger, M. ; Linseisen, J.*

Association between usual dietary intake of food groups and DNA methylation and effect modification by metabotype in the KORA FF4 cohort.

Life 12:1064 (2022)

Verlagsversion

Forschungsdaten

DOI

PMC

	Open Access Gold

Abstract
Metriken
Zusatzinfos

Associations between diet and DNA methylation may vary among subjects with different metabolic states, which can be captured by clustering populations in metabolically homogenous subgroups, called metabotypes. Our aim was to examine the relationship between habitual consumption of various food groups and DNA methylation as well as to test for effect modification by metabotype. A cross-sectional analysis of participants (median age 58 years) of the population-based prospective KORA FF4 study, habitual dietary intake was modeled based on repeated 24-h diet recalls and a food frequency questionnaire. DNA methylation was measured using the Infinium MethylationEPIC BeadChip providing data on >850,000 sites in this epigenome-wide association study (EWAS). Three metabotype clusters were identified using four standard clinical parameters and BMI. Regression models were used to associate diet and DNA methylation, and to test for effect modification. Few significant signals were identified in the basic analysis while many significant signals were observed in models including food group-metabotype interaction terms. Most findings refer to interactions of food intake with metabotype 3, which is the metabotype with the most unfavorable metabolic profile. This research highlights the importance of the metabolic characteristics of subjects when identifying associations between diet and white blood cell DNA methylation in EWAS.

Impact Factor

Scopus SNIP

Altmetric

3.251

0.769