BMI Loci and Longitudinal BMI from Adolescence to Young Adulthood in an Ethnically Diverse Cohort
Published in: International Journal of Obesity, [Epub January 2017]; doi:10.1038/ijo.2016.233
Posted on RAND.org on March 14, 2017
OBJECTIVE: The association of obesity susceptibility variants with change in body mass index (BMI) across the life course is not well understood. SUBJECTS: In ancestry stratified models of 5962 European American (EA), 2080 African American (AA), and 1582 Hispanic American (HA) individuals from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examined associations between 34 obesity SNPs with per year change in BMI, measured by the slope from a growth-curve analysis of two or more BMI measurements between adolescence and young adulthood. For SNPs nominally associated with BMI change (P<0.05), we interrogated age differences within data collection Wave and time differences between age categories that overlapped between Waves. RESULTS: We found SNPs in/near FTO, MC4R, MTCH2, TFAP2B, SEC16B, and TMEM18 were significantly associated (P<0.00150.05/34) with BMI change in EA and the ancestry-combined meta-analysis. Rs9939609 in FTO met genome-wide significance at P<5e-08 in the EA and ancestry combined analysis, respectively [Beta(se).0.025(0.004);Beta(se).0.021(0.003)]. No SNPs were significant after Bonferroni correction in AA or HA, although 5 SNPs in AA and 4 SNPs in HA were nominally significant (P<0.05). In EA and the ancestry-combined meta-analysis, rs3817334 near MTCH2 showed larger effects in younger respondents, while rs987237 near TFAP2B, showed larger effects in older respondents across all Waves. Differences in effect estimates across time for MTCH2 and TFAP2B are suggestive of either era or cohort effects. CONCLUSION: The observed association between variants in/near FTO, MC4R, MTCH2, TFAP2B, SEC16B, and TMEM18 with change in BMI from adolescence to young adulthood suggest that the genetic effect of BMI loci varies over time in a complex manner, highlighting the importance of investigating loci influencing obesity risk across the life course.
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