Polygenic prediction of weight and obesity trajectories from birth to adulthood
By A. Khera, M. Chaffin, K. Wade, Sohail Zahid, Joseph Brancale, R. Xia, Marina T. DiStefano, Ozlem Senol-Cosar, Mary E. Haas, Alexander G. Bick and 9 more. Cell, 2019
657 citations recorded by the source corpus.
SUMMARY 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 impact 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 >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 difference in birthweight across score deciles, but a significant gradient emerged in early childhood and reached 12 kg by age 18 years. This new approach to quantify inherited susceptibility to obesity using affords new opportunities for clinical prevention and mechanistic assessment.
Subfields: Genetics, Physiology
View Paper: https://www.semanticscholar.org/paper/58632defd1b666df18665103c20a83969297ca70
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Citations in the corpus
- The Polygenic and Monogenic Basis of Blood Traits and Diseases (2020, result): “, 2014) but in contrast to other common human diseases (Khera et al., 2019).”