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A meta-analysis of quantitative trait loci associated with body weight and adiposity in mice

International Journal of Obesity volume 31, pages 829–841 (2007)Cite this article

Abstract

Objective:

Cross-breeding experiments with different mouse strains have successfully been used by many groups to identify genetic loci that predispose for obesity. In order to provide a statistical assessment of these quantitative trait loci (QTL) as a basis for a systematic investigation of candidate genes, we have performed a meta-analysis of genome-wide linkage scans for body weight and body fat.

Data:

From a total of 34 published mouse cross-breeding experiments, we compiled a list of 162 non-redundant QTL for body weight and 117 QTL for fat weight and body fat percentage. Collectively, these studies include data from 42 different parental mouse strains and >14 500 individual mice.

Methods:

The results of the studies were analyzed using the truncated product method (TPM).

Results:

The analysis revealed significant evidence (logarithm of odds (LOD) score >4.3) for linkage of body weight and adiposity to 49 different segments of the mouse genome. The most prominent regions with linkage for body weight and body fat (LOD scores 14.8–21.8) on chromosomes 1, 2, 7, 11, 15, and 17 contain a total of 58 QTL for body weight and body fat. At least 34 candidate genes and genetic loci, which have been implicated in regulation of body weight and body composition in rodents and/or humans, are found in these regions, including CCAAT/enhancer-binding protein alpha (C/EBPA), sterol regulatory element-binding transcription factor 1 (SREBP-1), peroxisome proliferator activator receptor delta (PPARD), and hydroxysteroid 11-beta dehydrogenase 1 (HSD11B1). Our results demonstrate the presence of numerous distinct consensus QTL regions with highly significant LOD scores that control body weight and body composition. An interactive physical map of the QTL is available online at http://www.obesitygenes.org.

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Acknowledgements

We thank Dagmar Kollhof and Regine Heidmann for excellent literature service, and Dr David Adler for providing the idiograms of the mouse chromosomes. This work was in part supported by the European Union (EUGENE2; LSHM-CT-2004-512013) and the German Bundesministerium für Bildung und Forschung (NGFN2; 01GS0487).

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  1. H Al-Hasani

    Present address: Department of Pharmacology, German Institute for Human Nutrition, Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, Nuthetal, 14558, Germany

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  1. Department of Pharmacology, German Institute for Human Nutrition, Potsdam-Rehbrücke, Nuthetal, Germany

    S Wuschke, S Dahm, C Schmidt, H-G Joost & H Al-Hasani

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Wuschke, S., Dahm, S., Schmidt, C. et al. A meta-analysis of quantitative trait loci associated with body weight and adiposity in mice. Int J Obes 31, 829–841 (2007). https://doi.org/10.1038/sj.ijo.0803473

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