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Published online June 19, 2007
Diabetes 56:2631-2637, 2007
DOI: 10.2337/db07-0421
© 2007 by the American Diabetes Association
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Association Study of the Genetic Polymorphisms of the Transcription Factor 7-Like 2 (TCF7L2) Gene and Type 2 Diabetes in the Chinese Population

Yi-Cheng Chang1, Tien-Jyun Chang2, Yi-Der Jiang2, Shan-Shan Kuo2, Kuan-Ching Lee2, Ken C. Chiu3, and Lee-Ming Chuang2,4

1 Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
2 Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
3 Department of Diabetes, Endocrinology, and Metabolism, City of Hope National Medical Center, Duarte, California
4 Graduate Institute of Clinical Medicine, National Taiwan University Medical College, Taipei, Taiwan

Address correspondence and reprint requests to Lee-Ming Chuang, MD, PhD, Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Rd., Taipei, Taiwan. E-mail: leeming{at}ntu.edu.tw

Abbreviations: LD, linkage disequilibrium; PAF, population attributable risk fraction; SNP, single nucleotide polymorphism

OBJECTIVE—Genetic polymorphisms of the transcription factor 7-like 2 (TCF7L2) gene is one of the few validated genetic variants with large effects on the risk of type 2 diabetes in the populations of European ancestry. In this study, we aimed to explore the effect of the TCF7L2 polymorphisms in a Han Chinese population.

RESEARCH DESIGN AND METHODS—We genotyped 20 single nucleotide polymorphisms (SNPs) across the TCF7L2 gene in 1,520 unrelated subjects from a Han Chinese population in Taiwan. The associations of SNPs and haplotypes with type 2 diabetes and linkage disequilibrium (LD) structure of the TCF7L2 gene were analyzed.

RESULTS—The previously reported SNPs rs7903146 T- and rs12255372 T-alleles of the TCF7L2 gene were rare and were not associated with type 2 diabetes in a Chinese population, which may attribute to the low frequencies of these two SNPs. SNP rs290487 located in an LD block close to the 3' end of the gene was associated with type 2 diabetes (allele-specific P = 0.0021; permuted P = 0.03). The odds ratio was 1.36 for the CT genotype (95% CI 1.08–1.71; P = 0.0063) and 1.51 for the CC genotype (1.10 –2.07; P = 0.0085) compared with the TT genotype, corresponding to a population attributable risk fraction of 18.7%. The haplotypes composed of rs290487 were also significantly associated with type 2 diabetes (global P = 0.012).

CONCLUSIONS—We identified a novel risk-conferring genetic variant of TCF7L2 for type 2 diabetes in a Chinese population. Our data suggested that the TCF7L2 genetic polymorphisms are major determinants for risk of type 2 diabetes in the Chinese population.


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