Genetic architecture of human thinness compared to severe obesity


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Authors
Farooqi, Ismaa Sadaf 
Riveros-McKay, Fernando 
Mistry, Vanisha 
Bounds, Rebecca 
Hendricks, Audrey 
Abstract

The variation in weight within a shared environment is largely attributable to genetic factors. Whilst many genes/loci confer susceptibility to obesity, little is known about the genetic architecture of healthy thinness. Here, we characterise the heritability of thinness which we found was comparable to that of severe obesity (h2=28.07 vs 32.33% respectively), although with incomplete genetic overlap (r=-0.49, 95% CI [-0.17, -0.82], p=0.003). In a genome-wide association analysis of thinness (n=1,471) vs severe obesity (n=1,456), we identified 10 loci previously associated with obesity, and demonstrate enrichment for established BMI-associated loci (pbinomial=3.05x10-5). Simulation analyses showed that different association results between the extremes were likely in agreement with additive effects across the BMI distribution, suggesting different effects on thinness and obesity could be due to their different degrees of extremeness. In further analyses, we detected a novel obesity and BMI-associated locus at PKHD1 (rs2784243, obese vs. thin p=5.99x10-6, obese vs. controls p=2.13x10-6 pBMI=2.3x10-13), associations at loci recently discovered with much larger sample sizes (e.g. FAM150B and PRDM6-CEP120), and novel variants driving associations at previously established signals (e.g. rs205262 at the SNRPC/C6orf106 locus and rs112446794 at the PRDM6-CEP120 locus). Our ability to replicate loci found with much larger sample sizes demonstrates the value of clinical extremes and suggest that characterisation of the genetics of thinness may provide a more nuanced understanding of the genetic architecture of body weight regulation and may inform the identification of potential anti-obesity targets.

Description
Keywords
obesity, body mass index, genetic loci, childhood obesity, genome-wide association studies, human genetics, meta-analysis, genome signal processing
Journal Title
PLoS Genetics
Conference Name
Journal ISSN
1553-7390
1553-7404
Volume Title
15
Publisher
Public Library of Science (PLoS)
Sponsorship
Wellcome Trust (099038/Z/12/Z)
Wellcome Trust (100574/Z/12/Z)
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
Wellcome Trust (098497/Z/12/Z)
Medical Research Council (G0900554)
Medical Research Council (MC_UU_12012/1)
Medical Research Council (MC_UU_12012/5)
European Commission (279153)
MRC (MC_UU_00014/1)