Genetic architecture of early childhood growth phenotypes gives insights into their link with later obesity

De Silva, Maneka and Sebert, Sylvain and Couto Alves, Alex and Rodriguez, Alina (2017) Genetic architecture of early childhood growth phenotypes gives insights into their link with later obesity. bioRxiv . ISSN --

Full content URL: https://doi.org/10.1101/150516

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Genetic architecture of early childhood growth phenotypes gives insights into their link with later obesity
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Abstract

Early childhood growth patterns are associated with adult metabolic health, but the underlying mechanisms are unclear. We performed genome-wide meta-analyses and follow-up in up to 22,769 European children for six early growth phenotypes derived from longitudinal data: peak height and weight velocities, age and body mass index (BMI) at adiposity peak (AP ~9 months) and rebound (AR ~5-6 years). We identified four associated loci (P< 5x10−8): LEPR/LEPROT with BMI at AP, FTO and TFAP2B with Age at AR and GNPDA2 with BMI at AR. The observed AR-associated SNPs at FTO, TFAP2B and GNPDA2 represent known adult BMI-associated variants. The common BMI at AP associated variant at LEPR/LEPROT was not associated with adult BMI but was associated with LEPROT gene expression levels, especially in subcutaneous fat (P<2x10−51). We identify strong positive genetic correlations between early growth and later adiposity traits, and analysis of the full discovery stage results for Age at AR revealed enrichment for insulin-like growth factor 1 (IGF-1) signaling and apolipoprotein pathways. This genome-wide association study suggests mechanistic links between early childhood growth and adiposity in later childhood and adulthood, highlighting these early growth phenotypes as potential targets for the prevention of obesity.

Keywords:obesity, life course, DNA
Subjects:A Medicine and Dentistry > A100 Pre-clinical Medicine
B Subjects allied to Medicine > B990 Subjects Allied to Medicine not elsewhere classified
A Medicine and Dentistry > A300 Clinical Medicine
Divisions:College of Social Science > School of Psychology
ID Code:35456
Deposited On:15 May 2019 08:09

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