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 | |
| Publicador |
Nature Publishing Group |
| Relação |
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F., & Speliotes, Elizabeth K. (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), pp. 197-206. |
| Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation |
| Tipo |
Journal Article |
