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Genetic studies of body mass index yield new insights for obesity biology
Dalarna University, School of Education, Health and Social Studies, Medical Science.ORCID iD: 0000-0002-6933-4637
Number of Authors: 482
2015 (English)In: Nature, ISSN 0028-0836, E-ISSN 1476-4687, Vol. 515, no 7538, 197-206 p.Article in journal (Refereed) Published
Abstract [en]

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 upto 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 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 similar to 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 systemin 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.

Place, publisher, year, edition, pages
2015. Vol. 515, no 7538, 197-206 p.
National Category
Clinical Medicine
Research subject
Health and Welfare
URN: urn:nbn:se:du-21320DOI: 10.1038/nature14177ISI: 000349190300031PubMedID: 25673413OAI: diva2:916691
Available from: 2016-04-04 Created: 2016-04-04 Last updated: 2016-04-04Bibliographically approved

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