Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood
Author(s)
Khera, Amit V.; Chaffin, Mark; Wade, Kaitlin H.; Zahid, Sohail; Brancale, Joseph; Xia, Rui; Distefano, Marina; Senol-Cosar, Ozlem; Haas, Mary E.; Bick, Alexander; Aragam, Krishna G.; Lander, Eric Steven; Smith, George Davey; Mason-Suares, Heather; Fornage, Myriam; Lebo, Matthew; Timpson, Nicholas J.; Kaplan, Lee M.; Kathiresan, Sekar; ... Show more Show less
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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. © 2019 Author(s)
Date issued
2019-04Department
Massachusetts Institute of Technology. Department of BiologyJournal
Cell
Publisher
Elsevier BV
Citation
Khera, Amit V., et al. "Polygenic prediction of weight and obesity trajectories from birth to adulthood." Cell 177:3 (April 2019): 587–596 © 2019 Author(s)
Version: Author's final manuscript
ISSN
0092-8674
1097-4172