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Genetic determinants of BMI from early childhood to adolescence: the Santiago Longitudinal Study
Author(s) -
Justice A.E.,
Chittoor G.,
Blanco E.,
Graff M.,
Wang Y.,
Albala C.,
Santos J.L.,
Angel B.,
Lozoff B.,
Voruganti V.S.,
North K.E.,
Gahagan S.
Publication year - 2019
Publication title -
pediatric obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.226
H-Index - 69
eISSN - 2047-6310
pISSN - 2047-6302
DOI - 10.1111/ijpo.12479
Subject(s) - medicine , bonferroni correction , body mass index , longitudinal study , obesity , demography , childhood obesity , genetic variation , overweight , environmental health , population , statistics , mathematics , pathology , sociology
Summary Background While the genetic contribution to obesity is well established, few studies have examined how genetic variants influence standardized body mass index Z ‐score (BMIz) in Hispanics/Latinos, especially across childhood and adolescence. Objectives We estimated the effect of established BMIz loci in Chilean children of the Santiago Longitudinal Study (SLS). Methods We examined associations with BMIz at age 10 for 15 loci previously identified in European children. For significant loci, we performed association analyses at ages 5 and 16 years, for which we have smaller sample sizes. We tested associations of unweighted genetic risk scores (GRSs) for previously identified tag variants (GRS_EUR) and from the most significant variants in SLS at each locus (GRS_SLS). Results We generalized five variants at age 10 ( P < 0.05 and directionally consistent), including rs543874 that reached Bonferroni‐corrected significance. The effect on BMIz was greatest at age 10 for all significant loci, except FTO , which exhibited an increase in effect from ages 5 to 16. Both GRSs were associated with BMIz ( P < 0.0001), but GRS_SLS explained a much greater proportion of the variation (13.63%). Conclusion Our results underscore the importance of conducting genetic investigations across life stages and selecting ancestry appropriate tag variants in future studies for disease prediction and clinical evaluation.