Association of common variants identified by recent genome-wide association studies with obesity in Chinese children: a case-control study

BMC Medical Genetics

Research Article

André Scherag¹  Anke Hinney²  Johannes Hebebrand²  Yan Wang³  Xiang-Rui Meng⁴  Hai-Jun Wang⁴  Jun Ma⁴  Jie-Yun Song⁴  Harald Grallert⁵  Thomas Illig⁶ 

[1] Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, 07743, Jena, Germany;Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany;Division of Maternal and Child Health, School of Public Health, Peking University Health Science Center, Beijing, China;Institute of Child and Adolescent Health, Peking University, Beijing, China;Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany;German Center for Diabetes Research, Neuherberg, Germany;Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany;Hannover Unified Biobank, Hannover Medical School, Hannover, Germany;

关键词: Obesity;    BMI;    Gene;    Variant;    Children;   

DOI  :  10.1186/s12881-016-0268-4

 received in 2014-10-26, accepted in 2016-01-06,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundLarge-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.MethodsWe 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.ResultsWe identified obesity association for 6 SNPs near SEC16B, RBJ, CDKAL1, TFAP2B, MAP2K5 and FTO (odds ratios (ORs) ranged from 1.19 to 1.41, nominal two-sided P-values < 0.05). Association (Bonferroni corrected) of rs543874 near SEC16B and rs2241423 near MAP2K5 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).ConclusionWhile 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.

【 授权许可】

CC BY   
© Wang et al. 2016