Projects per year
Abstract
To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P<5 × 10(-8)), of which eight were previously associated with increased overall adiposity (BMI, BF%) and four (in or near COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel associations with BF%. Seven loci showed a larger effect on BF% than on BMI, suggestive of a primary association with adiposity, while five loci showed larger effects on BMI than on BF%, suggesting association with both fat and lean mass. In particular, the loci more strongly associated with BF% showed distinct cross-phenotype association signatures with a range of cardiometabolic traits revealing new insights in the link between adiposity and disease risk.
| Original language | English |
|---|---|
| Article number | 10495 |
| Number of pages | 15 |
| Journal | Nature Communications |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 1 Feb 2016 |
Keywords
- Biological sciences
- Genetics
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Dive into the research topics of 'New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk'. Together they form a unique fingerprint.Projects
- 1 Finished
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MRC Population Health Scientist Fellowship
Paternoster, L. (Principal Investigator)
1/10/12 → 1/10/16
Project: Research
Profiles
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Professor Lavinia Paternoster
- Epidemiology and Health Data Science - Professor of Genetic Epidemiology
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
Person: Academic , Member
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