L W Fu1, M X Zhang, L J Wu, L W Gao, J Mi. 1. Department of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China.
Abstract
Objective: To investigate possible effect of 6 obesity-associated SNPs in contribution to central obesity and examine whether there is an interaction in the 6 SNPs in the cause of central obesity in school-aged children in China. Methods: A total of 3 502 school-aged children who were included in Beijing Child and Adolescent Metabolic Syndrome (BCAMS) Study were selected, and based on the age and sex specific waist circumference (WC) standards in the BCAMS study, 1 196 central obese cases and 2 306 controls were identified. Genomic DNA was extracted from peripheral blood white cells using the salt fractionation method. A total of 6 single nucleotide polymorphisms (FTO rs9939609, MC4R rs17782313, BDNF rs6265, PCSK1 rs6235, SH2B1 rs4788102, and CSK rs1378942) were genotyped by TaqMan allelic discrimination assays with the GeneAmp 7900 sequence detection system (Applied Biosystems, Foster City, CA, USA). Logistic regression model was used to investigate the association between 6 SNPs and central obesity. Gene-gene interactions among 6 polymorphic loci were analyzed by using the Generalized Multifactor Dimensionality Reduction (GMDR) method, and then logistic regression model was constructed to confirm the best combination of loci identified in the GMDR. Results: After adjusting gender, age, Tanner stage, physical activity and family history of obesity, the FTO rs9939609-A, MC4R rs17782313-C and BDNF rs6265-G alleles were associated with central obesity under additive genetic model (OR=1.24, 95%CI: 1.06-1.45, P=0.008; OR=1.26, 95%CI: 1.11-1.43, P=2.98×10(-4); OR=1.18, 95% CI: 1.06-1.32, P=0.003). GMDR analysis showed a significant gene-gene interaction between MC4R rs17782313 and BDNF rs6265 (P=0.001). The best two-locus combination showed the cross-validation consistency of 10/10 and testing accuracy of 0.539. This interaction showed the maximum consistency and minimum prediction error among all gene-gene interaction models evaluated. Moreover, the combination of MC4R rs17782313-C and BDNF rs6265-G was associated with an increased risk of central obesity after adjustment for gender, age, Tanner stage, physical activity and family history of obesity. Conclusions: Our study showed that FTO rs9939609-A, MC4R rs17782313-C and BDNF rs6265-G alleles were associated with central obesity, and statistical interaction between MC4R rs17782313-C and BDNF rs6265-G increased risk of central obesity in school-aged children in China.
Objective: To investigate possible effect of 6 obesity-associated SNPs in contribution to central obesity and examine whether there is an interaction in the 6 SNPs in the cause of central obesity in school-aged children in China. Methods: A total of 3 502 school-aged children who were included in Beijing Child and Adolescent Metabolic Syndrome (BCAMS) Study were selected, and based on the age and sex specific waist circumference (WC) standards in the BCAMS study, 1 196 central obese cases and 2 306 controls were identified. Genomic DNA was extracted from peripheral blood white cells using the salt fractionation method. A total of 6 single nucleotide polymorphisms (FTOrs9939609, MC4Rrs17782313, BDNFrs6265, PCSK1rs6235, SH2B1rs4788102, and CSKrs1378942) were genotyped by TaqMan allelic discrimination assays with the GeneAmp 7900 sequence detection system (Applied Biosystems, Foster City, CA, USA). Logistic regression model was used to investigate the association between 6 SNPs and central obesity. Gene-gene interactions among 6 polymorphic loci were analyzed by using the Generalized Multifactor Dimensionality Reduction (GMDR) method, and then logistic regression model was constructed to confirm the best combination of loci identified in the GMDR. Results: After adjusting gender, age, Tanner stage, physical activity and family history of obesity, the FTOrs9939609-A, MC4Rrs17782313-C and BDNFrs6265-G alleles were associated with central obesity under additive genetic model (OR=1.24, 95%CI: 1.06-1.45, P=0.008; OR=1.26, 95%CI: 1.11-1.43, P=2.98×10(-4); OR=1.18, 95% CI: 1.06-1.32, P=0.003). GMDR analysis showed a significant gene-gene interaction between MC4Rrs17782313 and BDNFrs6265 (P=0.001). The best two-locus combination showed the cross-validation consistency of 10/10 and testing accuracy of 0.539. This interaction showed the maximum consistency and minimum prediction error among all gene-gene interaction models evaluated. Moreover, the combination of MC4Rrs17782313-C and BDNFrs6265-G was associated with an increased risk of central obesity after adjustment for gender, age, Tanner stage, physical activity and family history of obesity. Conclusions: Our study showed that FTOrs9939609-A, MC4Rrs17782313-C and BDNFrs6265-G alleles were associated with central obesity, and statistical interaction between MC4Rrs17782313-C and BDNFrs6265-G increased risk of central obesity in school-aged children in China.