Imran Ali Khan1, Subhadra Poornima2, Parveen Jahan3, Pragna Rao4, Qurratulain Hasan5. 1. PhD Scholar, Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad; Vasavi Medical and Research Centre, Khairathabad, Hyderabad; Department of Genetics and Biotechnology, Osmania University , Tarnaka, Hyderabad, India . 2. Post Graduate Student, Department of Genetics and Molecular Medicine, Kamineni Hospitals , Hyderabad, India . 3. PhD Scholar, Professor, Department of Genetics and Biotechnology, Osmania University , Tarnaka, Hyderabad, India . 4. PhD Scholar, Department of Biochemistry, Kasturba Medical College, Manipal University , Manipal, Karnataka, India . 5. PhD Scholar, Department of Genetics and Molecular Medicine, Kamineni Hospitals , Hyderabad; Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India .
Abstract
INTRODUCTION: Genetic and environmental factors play an important role in susceptibility to type 2 diabetes mellitus (T2DM). Several genes have been implicated in the development of T2DM. Genetic variants of candidate genes are, therefore, prime targets for molecular analysis. AIM: In this study, we have selected 3 candidate genes, namely, TCF7L2, SLC30A8, and IGF2, for assessing their association with T2DM in an Indian population. MATERIALS AND METHODS: Five hundred individuals were enrolled in this case-control study- 250 T2DM patients and 250 healthy control individuals. Clinical characteristics were obtained for all subjects, and genotype analysis was performed by PCR-RFLP analysis. RESULTS: Allele and genotyping frequencies, odds ratios, and 95% confidence intervals were calculated for 3 single nucleotide polymorphisms (SNPs), 1 each from TCF7L2 (rs7903146), SLC30A8 (rs13266634), and IGF2 (rs680) in T2DM patients. The rs7903146 and rs680 polymorphisms were found to be significantly associated with T2DM (p < 0.05), whereas the rs13266634 polymorphism was not (p > 0.05). The multifactor dimensionality reduction method identified the particular polymorphisms associated with an increased risk of disease. CONCLUSION: The present study indicated that the gene-gene interaction model successfully predicted T2DM risk based on TCF7L2 and SLC30A8 polymorphisms. These results provide strong evidence of independent association between T2DM and the 3 SNPs analysed herein.
INTRODUCTION: Genetic and environmental factors play an important role in susceptibility to type 2 diabetes mellitus (T2DM). Several genes have been implicated in the development of T2DM. Genetic variants of candidate genes are, therefore, prime targets for molecular analysis. AIM: In this study, we have selected 3 candidate genes, namely, TCF7L2, SLC30A8, and IGF2, for assessing their association with T2DM in an Indian population. MATERIALS AND METHODS: Five hundred individuals were enrolled in this case-control study- 250 T2DM patients and 250 healthy control individuals. Clinical characteristics were obtained for all subjects, and genotype analysis was performed by PCR-RFLP analysis. RESULTS: Allele and genotyping frequencies, odds ratios, and 95% confidence intervals were calculated for 3 single nucleotide polymorphisms (SNPs), 1 each from TCF7L2 (rs7903146), SLC30A8 (rs13266634), and IGF2 (rs680) in T2DM patients. The rs7903146 and rs680 polymorphisms were found to be significantly associated with T2DM (p < 0.05), whereas the rs13266634 polymorphism was not (p > 0.05). The multifactor dimensionality reduction method identified the particular polymorphisms associated with an increased risk of disease. CONCLUSION: The present study indicated that the gene-gene interaction model successfully predicted T2DM risk based on TCF7L2 and SLC30A8 polymorphisms. These results provide strong evidence of independent association between T2DM and the 3 SNPs analysed herein.
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