Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood

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...

Full description

Saved in:
Bibliographic Details
Published in:Cell Vol. 177; no. 3; p. 587
Main Authors: 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 S, Smith, George Davey, Mason-Suares, Heather, Fornage, Myriam, Lebo, Matthew, Timpson, Nicholas J, Kaplan, Lee M, Kathiresan, Sekar
Format: Journal Article
Language:English
Published: United States 18.04.2019
Subjects:
ISSN:1097-4172, 1097-4172
Online Access:Get more information
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1097-4172
1097-4172
DOI:10.1016/j.cell.2019.03.028