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Vogel, H.* ; Kamitz, A.* ; Hallahan, N.* ; Lebek, S.* ; Schallschmidt, T.* ; Jonas, W.* ; Jaehnert, M.* ; Gottmann, P.* ; Zellner, L.* ; Kanzleiter, T.* ; Damen, M.* ; Altenhofen, D.* ; Burkhardt, R.* ; Renner, S.* ; Dahlhoff, M.* ; Wolf, E.* ; Müller, T.D. ; Blueher, M.* ; Joost, H.G.* ; Chadt, A.* ; Al-Hasani, H.* ; Schuermann, A.*

A collective diabetes cross in combination with a computational framework to dissect the genetics of human obesity and Type 2 diabetes.

Hum. Mol. Genet. 27, 3099-3112 (2018)
Verlagsversion Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
© The Author(s) 2018. To explore the genetic determinants of obesity and Type 2 diabetes (T2D), the German Center for Diabetes Research (DZD) conducted crossbreedings of the obese and diabetes-prone New Zealand Obese mouse strain with four different lean strains (B6, DBA, C3H, 129P2) that vary in their susceptibility to develop T2D. Genome-wide linkage analyses localized more than 290 quantitative trait loci (QTL) for obesity, 190 QTL for diabetes-related traits and 100 QTL for plasma metabolites in the outcross populations. A computational framework was developed that allowed to refine critical regions and to nominate a small number of candidate genes by integrating reciprocal haplotype mapping and transcriptome data. The efficiency of the complex procedure was demonstrated for one obesity QTL. The genomic interval of 35 Mb with 502 annotated candidate genes was narrowed down to six candidates. Accordingly, congenic mice retained the obesity phenotype owing to an interval that contains three of the six candidate genes. Among these the phospholipase PLA2G4A exhibited an elevated expression in adipose tissue of obese human subjects and is therefore a critical regulator of the obesity locus. Together, our broad and complex approach demonstrates that combined- and comparative-cross analysis exhibits improved mapping resolution and represents a valid tool for the identification of disease genes.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Phospholipase A(2); Insulin Sensitivity; Metabolite Profiles; Mouse Genome; Mice; Traits; Diet; Qtl; Identification; Metaanalysis
Sprache
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 0964-6906
e-ISSN 1460-2083
Zeitschrift Human Molecular Genetics
Quellenangaben Band: 27, Heft: 17, Seiten: 3099-3112 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Great Clarendon St, Oxford Ox2 6dp, England
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes and Obesity (IDO)
POF Topic(s) 90000 - German Center for Diabetes Research
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-501900-221
DOI 10.1093/hmg/ddy217
WOS ID WOS:000444202300011
Scopus ID 85055039582
PubMed ID 29893858
Erfassungsdatum 2018-10-01
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