Literature DB >> 31002795

Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood.

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.
Copyright © 2019. Published by Elsevier Inc.

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


  71 in total

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2.  Pharmacological characterization of 40 human melanocortin-4 receptor polymorphisms with the endogenous proopiomelanocortin-derived agonists and the agouti-related protein (AGRP) antagonist.

Authors:  Zhimin Xiang; Sally A Litherland; Nicholas B Sorensen; Bettina Proneth; Michael S Wood; Amanda M Shaw; William J Millard; Carrie Haskell-Luevano
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3.  A fatter, healthier but more unequal world.

Authors:  George Davey Smith
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Review 4.  Genetic and environmental factors in relative body weight and human adiposity.

Authors:  H H Maes; M C Neale; L J Eaves
Journal:  Behav Genet       Date:  1997-07       Impact factor: 2.805

5.  Development and evaluation of a genetic risk score for obesity.

Authors:  Daniel W Belsky; Terrie E Moffitt; Karen Sugden; Benjamin Williams; Renate Houts; Jeanette McCarthy; Avshalom Caspi
Journal:  Biodemography Soc Biol       Date:  2013

Review 6.  Developing and evaluating polygenic risk prediction models for stratified disease prevention.

Authors:  Nilanjan Chatterjee; Jianxin Shi; Montserrat García-Closas
Journal:  Nat Rev Genet       Date:  2016-05-03       Impact factor: 53.242

7.  Modelling childhood growth using fractional polynomials and linear splines.

Authors:  Kate Tilling; Corrie Macdonald-Wallis; Debbie A Lawlor; Rachael A Hughes; Laura D Howe
Journal:  Ann Nutr Metab       Date:  2014-11-18       Impact factor: 3.374

8.  Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.

Authors:  Jian Yang; Andrew Bakshi; Zhihong Zhu; Gibran Hemani; Anna A E Vinkhuyzen; Sang Hong Lee; Matthew R Robinson; John R B Perry; Ilja M Nolte; Jana V van Vliet-Ostaptchouk; Harold Snieder; Tonu Esko; Lili Milani; Reedik Mägi; Andres Metspalu; Anders Hamsten; Patrik K E Magnusson; Nancy L Pedersen; Erik Ingelsson; Nicole Soranzo; Matthew C Keller; Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2015-08-31       Impact factor: 38.330

9.  Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts.

Authors:  Laura D Howe; Kate Tilling; Alicia Matijasevich; Emily S Petherick; Ana Cristina Santos; Lesley Fairley; John Wright; Iná S Santos; Aluísio Jd Barros; Richard M Martin; Michael S Kramer; Natalia Bogdanovich; Lidia Matush; Henrique Barros; Debbie A Lawlor
Journal:  Stat Methods Med Res       Date:  2013-10-09       Impact factor: 3.021

10.  Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.

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Adam S Butterworth; Peter T Campbell; Stefania Cappellani; David J Carey; Eulalia Catamo; Mark J Caulfield; John C Chambers; Daniel I Chasman; Yii-Der I Chen; Rajiv Chowdhury; Cramer Christensen; Audrey Y Chu; Massimiliano Cocca; Francis S Collins; James P Cook; Janie Corley; Jordi Corominas Galbany; Amanda J Cox; David S Crosslin; Gabriel Cuellar-Partida; Angela D'Eustacchio; John Danesh; Gail Davies; Paul I W Bakker; Mark C H Groot; Renée Mutsert; Ian J Deary; George Dedoussis; Ellen W Demerath; Martin Heijer; Anneke I Hollander; Hester M Ruijter; Joe G Dennis; Josh C Denny; Emanuele Di Angelantonio; Fotios Drenos; Mengmeng Du; Marie-Pierre Dubé; Alison M Dunning; Douglas F Easton; Todd L Edwards; David Ellinghaus; Patrick T Ellinor; Paul Elliott; Evangelos Evangelou; Aliki-Eleni Farmaki; I Sadaf Farooqi; Jessica D Faul; Sascha Fauser; Shuang Feng; Ele Ferrannini; Jean Ferrieres; Jose C Florez; Ian Ford; Myriam Fornage; Oscar H Franco; Andre Franke; Paul W Franks; Nele Friedrich; Ruth Frikke-Schmidt; 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Lynne E Wagenknecht; Mark Walker; Lars Wallentin; Feijie Wang; Carol A Wang; Shuai Wang; Yiqin Wang; Erin B Ware; Nicholas J Wareham; Helen R Warren; Dawn M Waterworth; Jennifer Wessel; Harvey D White; Cristen J Willer; James G Wilson; Daniel R Witte; Andrew R Wood; Ying Wu; Hanieh Yaghootkar; Jie Yao; Pang Yao; Laura M Yerges-Armstrong; Robin Young; Eleftheria Zeggini; Xiaowei Zhan; Weihua Zhang; Jing Hua Zhao; Wei Zhao; Wei Zhao; Wei Zhou; Krina T Zondervan; Jerome I Rotter; John A Pospisilik; Fernando Rivadeneira; Ingrid B Borecki; Panos Deloukas; Timothy M Frayling; Guillaume Lettre; Kari E North; Cecilia M Lindgren; Joel N Hirschhorn; Ruth J F Loos
Journal:  Nat Genet       Date:  2017-12-22       Impact factor: 38.330

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