- Title
- Genetic studies of body mass index yield new insights for obesity biology
- Creator
- Locke, Adam E.; Kahali, Bratati; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Berndt, Sonja I.; Holliday, Elizabeth G.; Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian
- Relation
- Nature Vol. 518, Issue 7538, p. 197-206
- Publisher Link
- http://dx.doi.org/10.1038/nature14177
- Publisher
- Nature Publishing Group
- Resource Type
- journal article
- Date
- 2015
- Description
- 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 x 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.
- Subject
- genome-wide association studies; genetic studies; obesity; BMI; body mass index
- Identifier
- http://hdl.handle.net/1959.13/1335610
- Identifier
- uon:27460
- Identifier
- ISSN:0028-0836
- Language
- eng
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