Genetic studies of body mass index yield new insights for obesity biology
Data(s) |
2015
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Resumo |
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. |
Identificador |
http://serval.unil.ch/?id=serval:BIB_F373E38AD760 isbn:1476-4687 (Electronic) pmid:25673413 doi:10.1038/nature14177 isiid:000349190300031 |
Idioma(s) |
en |
Fonte |
Nature, vol. 518, no. 7538, pp. 197-206 |
Palavras-Chave | #Body Mass Index; Genome-Wide Association Study; Obesity/genetics; Obesity/metabolism |
Tipo |
info:eu-repo/semantics/article article |