CDKAL1, KCNQ1, and IGF2BP2 are Identified as Type 2 Diabetes Susceptibility Genes in a Regional Chinese Population
Qiaoping Wu
Li Hui Li Hospital, Ningbo Medical Center, School of Medicine, Ningbo University, 57 Xing Ning Road, Ningbo, 315041, China.
Hailian Yang
School of Medicine, Ningbo University, Ningbo 315211, China.
Pingdong Li
Department of Otolaryngology–Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology–Head and Neck Surgery, Ministry of Education, Beijing, China.
Yuxin Liu
Southern Medical University, Tonghe Guanzhou, 510515, China
Ruiwei Jing
School of Public Health, Southeast University, No.87 Dinjiaqiao, Nanjin, 210009, China.
Justin Michael Karush
Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Guipeng Ding
Department of Pathology, Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing 210029, China.
Xuelian He
Central Laboratory, Wuhan Children's Hospital, Wuhan, 430016, China.
Ningsheng Liu *
Department of Pathology, Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing 210029, China.
Jiangfang Lian
Li Hui Li Hospital, Ningbo Medical Center, School of Medicine, Ningbo University, 57 Xing Ning Road, Ningbo, 315041, China.
*Author to whom correspondence should be addressed.
Abstract
Aims: Diabetes has become a major public health problem in China. Recent advances in genetic studies have identified numerous susceptibility loci for type 2 diabetes (T2D). Current models to detect risk of T2D are largely based on studies from European populations; this study aims to replicate those efforts in a Chinese population from the Ningbo region in order to diversify and fortify risk models.
Methodology: We successfully genotyped 11 single nucleotide polymorphisms (SNPs) in 222 subjects with T2D and 140 subjects with normal glucose regulation in a population from the Ningbo region of China. Additive and dominant models were used to analyze the associations between SNPs and T2D.
Results: Adjusting for age, triglycerides, total cholesterol, low density lipoprotein, and BMI in the dominant model, we identified three SNPs which were associated T2D: CDKAL1 (OR=2.29 [95%CI=1.25-4.19]), KCNQ1 (4.22 [1.79-9.99]), and IGF2BP2 (1.76 [1.06-2.94]). No significant association was found between T2D and SNPs from KCNJ11, PPARG, TCF7L2, SALC30A8, CDKN2B, HHEX, HNF1β, and WFS1.
Conclusion: Our data indicates that in this population, CDKAL1, KCNQ1, and IGF2BP2 are T2D susceptibility genes.
Keywords: Single nucleotide polymorphisms (SNPs), mutational analysis, type 2 diabetes, susceptibility loci, Chinese population.