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Genetic studies of body mass index yield new insights for obesity biology.

Articolo
Data di Pubblicazione:
2015
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
GWAS; body mass index
Elenco autori:
Mulas, Antonella; Uda, Manuela; Crisponi, Laura; Marongiu, Mara; Sanna, Serena; Busonero, Fabio
Autori di Ateneo:
BUSONERO FABIO
CRISPONI LAURA
MARONGIU MARA
MULAS ANTONELLA
SANNA SERENA
UDA MANUELA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/248006
Pubblicato in:
NATURE (LOND.)
Journal
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