PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Jäger, S.* ; Wahl, S. ; Kröger, J.* ; Sharma, S. ; Hoffmann, P.* ; Floegel, A.* ; Pischon, T.* ; Prehn, C. ; Adamski, J. ; Müller-Nurasyid, M. ; Waldenberger, M. ; Strauch, K. ; Peters, A. ; Gieger, C. ; Suhre, K.* ; Grallert, H. ; Boeing, H.* ; Schulze, M.B.* ; Meidtner, K.*

Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes.

Sci. Rep. 7:6037 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Diabetes-associated metabolites may aid the identification of new risk variants for type 2 diabetes. Using targeted metabolomics within a subsample of the German EPIC-Potsdam study (n = 2500), we tested previously published SNPs for their association with diabetes-associated metabolites and conducted an additional exploratory analysis using data from the exome chip including replication within 2,692 individuals from the German KORA F4 study. We identified a total of 16 loci associated with diabetes-related metabolite traits, including one novel association between rs499974 (MOGAT2) and a diacyl-phosphatidylcholine ratio (PC aa C40:5/PC aa C38:5). Gene-based tests on all exome chip variants revealed associations between GFRAL and PC aa C42:1/PC aa C42:0, BIN1 and SM (OH) C22:2/SM C18:0 and TFRC and SM (OH) C22:2/SM C16:1). Selecting variants for gene-based tests based on functional annotation identified one additional association between OR51Q1 and hexoses. Among single genetic variants consistently associated with diabetes-related metabolites, two (rs174550 (FADS1), rs3204953 (REV3L)) were significantly associated with type 2 diabetes in large-scale meta-analysis for type 2 diabetes. In conclusion, we identified a novel metabolite locus in single variant analyses and four genes within gene-based tests and confirmed two previously known mGWAS loci which might be relevant for the risk of type 2 diabetes.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
4.259
1.401
12
11
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Genome-wide Association; Fasting Glucose; Low-frequency; Risk; Population; Link; Rare; Susceptibility; Cancer; Kora
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 7, Heft: 1, Seiten: , Artikelnummer: 6037 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
Molekulare Endokrinologie und Metabolismus (MEM)
POF Topic(s) 30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
90000 - German Center for Diabetes Research
30201 - Metabolic Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504091-004
G-504091-002
G-504091-001
G-504100-001
G-504000-002
G-501900-402
G-505600-003
G-504090-001
PubMed ID 28729637
DOI 10.1038/s41598-017-06158-3
WOS ID WOS:000405907800091
Scopus ID 85025462539
Erfassungsdatum 2017-07-27
[➜Korrektur melden]