Distinct genetic profiles influence body mass index between infancy and adolescence

Body mass index (BMI) changes throughout life with age-varying genetic contributions. We use a random regression model to investigate the genetic contribution to BMI trajectories from ages one to 18 years in 6,291 ALSPAC participants with 65,930 repeated BMI measurements. Here we show the estimated SNP-based heritability of BMI at 9.5 years is 28.4% (SE = 4.8%), and 23.8% (SE = 4.2%) for rate of change in BMI from one to 18 years. The genetic correlations between early childhood and adolescence are low (genetic correlation between two and 17 years is 0.108 [SE = 0.146]). We find that the first principal component of the trajectory, explaining 89% of genetic variation, captures effects which increase in magnitude from early childhood to adolescence and then plateau. A second axis explaining 9% of the genetic variance has opposite effects on BMI between early and later ages. Our findings demonstrate the value of RRMs to reveal age-specific genetic influences on BMI across development.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-02-19
DOI
https://doi.org/10.1038/s41467-026-69310-6
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinct genetic profiles influence body mass index between infancy and adolescence

Marjolein N. Kooijman, Samuel McEwan, Kathryn E. Kemper, Loic Yengo et al.
Nature Communications
Genetic Associations and Epidemiology
article

Distinct genetic profiles influence body mass index between infancy and adolescence

Marjolein N. Kooijman, Samuel McEwan, Kathryn E. Kemper, Loic Yengo, Michael E. Goddard, Geng Wang, Jian Zeng
article en

Abstract

Body mass index (BMI) changes throughout life with age-varying genetic contributions. We use a random regression model to investigate the genetic contribution to BMI trajectories from ages one to 18 years in 6,291 ALSPAC participants with 65,930 repeated BMI measurements. Here we show the estimated SNP-based heritability of BMI at 9.5 years is 28.4% (SE = 4.8%), and 23.8% (SE = 4.2%) for rate of change in BMI from one to 18 years. The genetic correlations between early childhood and adolescence are low (genetic correlation between two and 17 years is 0.108 [SE = 0.146]). We find that the first principal component of the trajectory, explaining 89% of genetic variation, captures effects which increase in magnitude from early childhood to adolescence and then plateau. A second axis explaining 9% of the genetic variance has opposite effects on BMI between early and later ages. Our findings demonstrate the value of RRMs to reveal age-specific genetic influences on BMI across development.

Nature CommunicationsVol. 17(1)
The University of Queensland (AU), The University of Melbourne (AU), La Trobe University (AU), Agriculture Victoria (AU), AgriBio (AU)
Openalex Percentile: Top 48%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.