Association of common variants identified by recent genome-wide association studies with obesity in Chinese children: a case-control study. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Wang, Hai-Jun; Hinney, Anke; Song, Jie-Yun; Scherag, André; Meng, Xiang-Rui; Grallert, Harald; Illig, Thomas; Hebebrand, Johannes; Wang, Yan; Ma, Jun
• Is Part Of: BMC medical genetics. Volume 17:Issue 1(2016)
• Page Start: 1
• Page End: 10
• Publication Date: 2016-12
• Subjects: Obesity -- BMI -- Gene -- Variant -- Children; Medical genetics -- Periodicals; 616.04205
• DOI: 10.1186/s12881-016-0268-4
• Languages: English
• ISSNs: 1471-2350

Abstract

Abstract Background Large-scale genome-wide association studies have identified multiple genetic variants that are associated with elevated body mass index (BMI) or the risk of obesity in Caucasian or Asian populations. We examined whether these variants are individually associated with obesity in Chinese children, and also assessed their cumulative effects and predictive value for obesity risk in Chinese children. Methods We genotyped 40 single nucleotide polymorphisms (SNPs) and conducted association analyses for 32/40 SNPs with an estimated minor allele frequency >1 % in 2 030 unrelated Chinese children, including 607 normal-weight, 718 overweight, and 705 obese individuals from two cross-sectional study groups. Logistic regression and linear regression under the additive model were used to examine associations, and the area under the receiver operating characteristic curve (AUCROC ) was reported as prediction summary. Results We identified obesity association for 6 SNPs nearSEC16B, RBJ, CDKAL1, TFAP2B, MAP2K5 andFTO (odds ratios (ORs) ranged from 1.19 to 1.41, nominal two-sidedP -values < 0.05). Association (Bonferroni corrected) of rs543874 nearSEC16B and rs2241423 nearMAP2K5 had presumably stronger effects on obesity in Chinese children than in Caucasian populations. Their risk alleles were also associated with BMI standard deviation score (BMI-SDS) variability. We demonstrated the cumulative effects of the 32 SNPs on obesity risk (per risk allele: OR = 1.06, 95 % CI: 1.03-1.11, P = 4.84 × 10-4 ) and BMI-SDS (β = 0.04, 95 % CI: 0.02-0.06, P = 3.69 × 10-7 ). The difference in AUCROC for a model with covariates (age, age square, sex and study group) and the model including covariates and all 32 SNPs was 2.8 % (P = 0.0002). Conclusion While six SNPs were individually associated with obesity in Chinese children, the 32 common variants identified by recent GWA studies had cumulative effects and resulted in a limited increase in the AUCROC predictive value for childhood obesity.