Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts

Author:

Silventoinen KarriORCID,Li Weilong,Jelenkovic Aline,Sund ReijoORCID,Yokoyama Yoshie,Aaltonen Sari,Piirtola Maarit,Sugawara Masumi,Tanaka Mami,Matsumoto Satoko,Baker Laura A.,Tuvblad Catherine,Tynelius Per,Rasmussen Finn,Craig Jeffrey M.,Saffery RichardORCID,Willemsen Gonneke,Bartels MeikeORCID,van Beijsterveldt Catharina E. M.,Martin Nicholas G.,Medland Sarah E.,Montgomery Grant W.ORCID,Lichtenstein PaulORCID,Krueger Robert F.,McGue MattORCID,Pahlen Shandell,Christensen KaareORCID,Skytthe Axel,Kyvik Kirsten O.,Saudino Kimberly J.,Dubois Lise,Boivin Michel,Brendgen Mara,Dionne Ginette,Vitaro Frank,Ullemar Vilhelmina,Almqvist Catarina,Magnusson Patrik K. E.ORCID,Corley Robin P.,Huibregtse Brooke M.ORCID,Knafo-Noam Ariel,Mankuta David,Abramson Lior,Haworth Claire M. A.,Plomin RobertORCID,Bjerregaard-Andersen Morten,Beck-Nielsen Henning,Sodemann Morten,Duncan Glen E.,Buchwald Dedra,Burt S. Alexandra,Klump Kelly L.,Llewellyn Clare H.ORCID,Fisher Abigail,Boomsma Dorret I.ORCID,Sørensen Thorkild I. A.ORCID,Kaprio JaakkoORCID

Abstract

Abstract Background Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height. Methods We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age. Results The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood. Conclusions Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity.

Publisher

Springer Science and Business Media LLC

Subject

Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3