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Dokumenttyp:
Journal Article; Meta-Analysis
Autor(en):
Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tõnu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltan; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Hua Zhao, Jing; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Asa K; Karjalainen, Ju...     »
Titel:
Genetic studies of body mass index yield new insights for obesity biology.
Abstract:
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ~2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
Zeitschriftentitel:
Nature
Jahr:
2015
Band / Volume:
518
Heft / Issue:
7538
Seitenangaben Beitrag:
197-206
Sprache:
eng
Volltext / DOI:
doi:10.1038/nature14177
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/25673413
Print-ISSN:
0028-0836
TUM Einrichtung:
I. Medizinische Klinik und Poliklinik (Kardiologie); Klinik für Herz- und Kreislauferkrankungen im Erwachsenenalter (Prof. Schunkert)
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