A new highly penetrant form of obesity due to deletions on chromosome 16p11.2A new highly penetrant form of obesity due to deletions on chromosome 16p11.2
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Medical Genetics (MEDGEN)
Cognitive Genetics (COGNET)
Nature. - London
463(2010):7281, p. 671-675
University of Antwerp
Obesity has become a major worldwide challenge to public health, owing to an interaction between the Western obesogenic environment and a strong genetic contribution1. Recent extensive genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms associated with obesity, but these loci together account for only a small fraction of the known heritable component1. Thus, the common disease, common variant hypothesis is increasingly coming under challenge2. Here we report a highly penetrant form of obesity, initially observed in 31 subjects who were heterozygous for deletions of at least 593 kilobases at 16p11.2 and whose ascertainment included cognitive deficits. Nineteen similar deletions were identified from GWAS data in 16,053 individuals from eight European cohorts. These deletions were absent from healthy non-obese controls and accounted for 0.7% of our morbid obesity cases (body mass index (BMI) ≥ 40 kg m-2 or BMI standard deviation score ≥ 4; P = 6.4 × 10-8, odds ratio 43.0), demonstrating the potential importance in common disease of rare variants with strong effects. This highlights a promising strategy for identifying missing heritability in obesity and other complex traits: cohorts with extreme phenotypes are likely to be enriched for rare variants, thereby improving power for their discovery. Subsequent analysis of the loci so identified may well reveal additional rare variants that further contribute to the missing heritability, as recently reported for SIM1 (ref. 3). The most productive approach may therefore be to combine the power of the extreme4 in small, well-phenotyped cohorts, with targeted follow-up in case-control and population cohorts.