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Fehlert, E. ; Wagner, R. ; Ketterer, C. ; Böhm, A. ; Machann, J. ; Fritsche, L. ; Machicao, F. ; Schick, F. ; Staiger, H. ; Stefan, N. ; Häring, H.-U. ; Fritsche, A. ; Heni, M.

Genetic determination of body fat distribution and the attributive influence on metabolism.

Obesity 25, 1277-1283 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
ObjectiveGenome-wide association studies (GWAS) have identified single-nucleotide polymorphisms (SNPs) associated with estimates of body fat distribution. Using predefined risk allele scores, the correlation of these scores with precisely quantified body fat distribution assessed by magnetic resonance (MR) imaging techniques and with metabolic traits was investigated. MethodsData from 4,944 MR scans from 915 subjects of European ancestry were analyzed. Body fat distribution was determined by MR imaging and liver fat content by H-1-MR spectroscopy. All subjects underwent a five-point 75-g oral glucose tolerance test. A total of 65 SNPs with reported genome-wide significant associations regarding estimates of body fat distribution were genotyped. Four genetic risk scores were created by summation of risk alleles. ResultsA higher allelic load of waist-to-hip ratio SNPs was associated with lower insulin sensitivity, higher postchallenge glucose levels, and more visceral and less subcutaneous fat mass. ConclusionsGWAS-derived polymorphisms estimating body fat distribution are associated with distinct patterns of body fat distribution exactly measured by MR. Only the risk score associated with the waist-to-hip ratio in GWAS showed an unhealthy pattern of metabolism and body fat distribution. This score might be useful for predicting diseases associated with genetically determined, unhealthy obesity.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Subcutaneous Adipose-tissue; Waist-hip Ratio; Insulin-resistance; Vascular-disease; Liver-disease; Mass Index; Risk; Circumference; Association; Obesity
Sprache
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 1930-7381
e-ISSN 1930-739X
Zeitschrift Obesity
Quellenangaben Band: 25, Heft: 7, Seiten: 1277-1283 Artikelnummer: , Supplement: ,
Verlag Wiley
Verlagsort Hoboken
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research and Metabolic Diseases (IDM)
POF Topic(s) 90000 - German Center for Diabetes Research
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502400-001
G-502400-002
DOI 10.1002/oby.21874
WOS ID WOS:000404361200020
Scopus ID 85019717139
PubMed ID 28544651
Erfassungsdatum 2017-07-14
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