Author(s): Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, , Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, , Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, , Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH,
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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.
This article was published in Nature
and referenced in Journal of Applied Mechanical Engineering