Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts
Number of Authors: 57 2022 (English) In: International Journal of Obesity, ISSN 0307-0565, E-ISSN 1476-5497, Vol. 46, no 10, p. 1901-1909Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages Nature Publishing Group , 2022. Vol. 46, no 10, p. 1901-1909
National Category
Pediatrics Medical Genetics and Genomics
Identifiers URN: urn:nbn:se:oru:diva-100635 DOI: 10.1038/s41366-022-01202-3 ISI: 000839256400002 PubMedID: 35945263 Scopus ID: 2-s2.0-85135772911 OAI: oai:DiVA.org:oru-100635 DiVA, id: diva2:1687694
Funder Academy of Finland, 312073 336823 Swedish Research Council, 2017-00641
Note Funding agencies:
United States Department of Health & Human Services
National Institutes of Health (NIH) - USA
NIH National Institute on Drug Abuse (NIDA) DA011015 HD10333 5T32DA017637
NIH National Institute on Aging (NIA) 5T32AG052371
NIH National Institute of Mental Health (NIMH) R01-MH081813 R01-MH0820-54 R01-MH092377-02 R21-MH070542-01 R03-MH63851-01 1R01-MH11884801
Sigrid Juselius Foundation
Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) R01-HD066040
MSU Foundation 11-SPG-2518
National Health and Medical Research Council (NHMRC) of Australia 437015 607358
Bonnie Babes Foundation BBF20704
Financial Markets Foundation for Children 032-2007
Victorian Government's Operational Infrastructure Support Program
UK Research & Innovation (UKRI)
Medical Research Council UK (MRC) MR/M021475/1
United States Department of Health & Human Services National Institutes of Health (NIH) - USA AG046938
Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science 20H04019
University of Helsinki
Helsinki University Central Hospital
2022-08-162022-08-162025-02-10 Bibliographically approved