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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)
Publ. Version/Full Text Research data DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
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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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Subcutaneous Adipose-tissue; Waist-hip Ratio; Insulin-resistance; Vascular-disease; Liver-disease; Mass Index; Risk; Circumference; Association; Obesity
ISSN (print) / ISBN 1930-7381
e-ISSN 1930-739X
Journal Obesity
Quellenangaben Volume: 25, Issue: 7, Pages: 1277-1283 Article Number: , Supplement: ,
Publisher Wiley
Publishing Place Hoboken
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Diabetes Research and Metabolic Diseases (IDM)