Genetic studies of body mass index yield new insights for obesity biology
Genetic studies of body mass index yield new insights for obesity biology
dc.contributor.author | Lim, Unhee | |
dc.contributor.author | Le Marchand, Loic | |
dc.contributor.author | Wilkens, Lynne | |
dc.date.accessioned | 2016-04-29T20:37:31Z | |
dc.date.available | 2016-04-29T20:37:31Z | |
dc.date.issued | 2015-02 | |
dc.description.abstract | <p>Note: A full list of authors and affiliations appears at the end of the article.</p> <p>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.</p> | |
dc.format.extent | 48 | |
dc.identifier.doi | 10.1038/nature14177 | |
dc.identifier.uri | http://hdl.handle.net/10125/40202 | |
dc.language.iso | en-US | |
dc.publisher | Nature | |
dc.relation.uri | http://www.nature.com/nature/journal/v518/n7538/full/nature14177.html | |
dc.title | Genetic studies of body mass index yield new insights for obesity biology | |
dc.type | Article | |
dc.type.dcmi | Text |
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