| Literature DB >> 31002795 |
Amit V Khera1, Mark Chaffin2, Kaitlin H Wade3, Sohail Zahid4, Joseph Brancale5, Rui Xia6, Marina Distefano7, Ozlem Senol-Cosar7, Mary E Haas2, Alexander Bick8, Krishna G Aragam9, Eric S Lander10, George Davey Smith11, Heather Mason-Suares7, Myriam Fornage6, Matthew Lebo7, Nicholas J Timpson3, Lee M Kaplan5, Sekar Kathiresan12.
Abstract
Severe obesity is a rapidly growing global health threat. Although often attributed to unhealthy lifestyle choices or environmental factors, obesity is known to be heritable and highly polygenic; the majority of inherited susceptibility is related to the cumulative effect of many common DNA variants. Here we derive and validate a new polygenic predictor comprised of 2.1 million common variants to quantify this susceptibility and test this predictor in more than 300,000 individuals ranging from middle age to birth. Among middle-aged adults, we observe a 13-kg gradient in weight and a 25-fold gradient in risk of severe obesity across polygenic score deciles. In a longitudinal birth cohort, we note minimal differences in birthweight across score deciles, but a significant gradient emerged in early childhood and reached 12 kg by 18 years of age. This new approach to quantify inherited susceptibility to obesity affords new opportunities for clinical prevention and mechanistic assessment.Entities:
Keywords: UK Biobank; body mass index; genetic risk prediction; genomic medicine; human genetics; melanocortin 4 receptor; polygenic score; severe obesity; weight
Mesh:
Year: 2019 PMID: 31002795 PMCID: PMC6661115 DOI: 10.1016/j.cell.2019.03.028
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850