An epigenome-wide association study of obesity-related traits
American Journal of Epidemiology , Volume 187 - Issue 8 p. 1662- 1669
We conducted an epigenome-wide association study on obesity-related traits. We used data from 2 prospective, population-based cohort studies: the Rotterdam Study (RS) (2006.2013) and the Atherosclerosis Risk in Communities (ARIC)Study (1990.1992).We used theRS(n = 1,450) as the discovery panel and the ARICStudy (n = 2,097) as the replication panel. Linear mixed-effect models were used to assess the cross-sectional associations between genome-wide DNA methylation in leukocytes and body mass index (BMI) and waist circumference (WC), adjusting for sex, age, smoking, leukocyte proportions, array number, and position on array. The latter 2 variables were modeled as random effects. Fourteen 5′-C-phosphate-G-3′ (CpG) sites were associated with BMI and 26 CpG sites with WC in the RS after Bonferroni correction (P < 1.07 × 10-7), of which 12 and 13 CpGs were replicated in the ARIC Study, respectively. The most significant novel CpGs were located on the Musashi RNA binding protein 2 gene (MSI2; cg21139312) and the leucyl-tRNA synthetase 2, mitochondrial gene (LARS2; cg18030453) and were associated with both BMI and WC. CpGs at BRDT, PSMD1, IFI44L, MAP1A, and MAP3K5 were associated with BMI. CpGs at LGALS3BP, MAP2K3, DHCR24, CPSF4L, andTMEM49 were associated with WC.We report novel associations between methylation at MSI2 and LARS2 and obesity-related traits. These results provide further insight into mechanisms underlying obesity-related traits, which can enable identification of new biomarkers in obesity-related chronic diseases.
|Body mass index, Cohort studies, DNA methylation, Epigenome-wide association studies, obesity, Waist circumference|
|American Journal of Epidemiology|
|Organisation||Department of Epidemiology|
Dhana, K, Braun, K.V.E, Nano, J, Voortman, R.G, Demerath, E.W, Guan, W, … Dehghan, A. (2018). An epigenome-wide association study of obesity-related traits. American Journal of Epidemiology, 187(8), 1662–1669. doi:10.1093/aje/kwy025