AI Article Synopsis
- Obesity has a genetic component and is linked to various diseases, prompting a large-scale study involving over 339,000 participants to explore its genetic basis through BMI analysis.
- The study identified 97 loci associated with BMI, with 56 being new discoveries, and found that these loci explain about 2.7% of the variation in BMI, while common genetic variations contribute over 20%.
- Results indicate that the central nervous system plays a significant role in obesity risk and point to new genes and pathways related to brain function, metabolism, and fat development.
Article 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.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382211 | PMC |
| http://dx.doi.org/10.1038/nature14177 | DOI Listing |
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