Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population

To investigate if mutations in are associated with "atypical diabetes" in the Uruguayan population. Healthy, nondiabetic controls ( = 133) and patients with type 2 diabetes ( = 177) were selected from among the presenting population at level-3 referral healthcare centers in Uruguay. Patien...

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Veröffentlicht in:World journal of diabetes 2018-09, Vol.9 (9), p.157-164
Hauptverfasser: Beloso, Carolina, Souto, Jorge, Fabregat, Matias, Romanelli, Gerardo, Javiel, Gerardo, Mimbacas, Adriana
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Sprache:eng
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Zusammenfassung:To investigate if mutations in are associated with "atypical diabetes" in the Uruguayan population. Healthy, nondiabetic controls ( = 133) and patients with type 2 diabetes ( = 177) were selected from among the presenting population at level-3 referral healthcare centers in Uruguay. Patients with type 2 diabetes were subgrouped according to "atypical diabetes" ( = 92) and "classical diabetes" ( = 85). Genotyping for the rs12255372 and rs7903146 single nucleotide polymorphisms (SNPs) in the gene was carried out with Man probes. Random samples were sequenced by Macrogen Ltd. (South Korea). Statistical analysis of the SNP data was carried out with the SNPStats online tool (http://bioinfo.iconcologia.net/SNPstats). The best inheritance model was chosen according to the lowest values of Akaike's information criterion and Bayesian information criterion. Differences between groups were determined by unpaired -tests after checking the normal distribution or were converted to normalize the data. The association of SNPs was tested for matched case-control samples by using χ analysis and calculation of odds ratios (ORs) with 95% confidence intervals (CIs). All statistical tests were performed using SPSS v10.0 and EpiInfo7 statistical packages. Significant statistical differences were assumed in all cases showing adjusted < 0.05. We genotyped two SNPs (rs7903146 and rs12255372) in a population-based sample of 310 Uruguayan subjects, including 133 healthy control subjects and 177 clinical diagnosed with type 2 diabetes. For both SNPs analyzed, the best model was the dominant type: rs12255372 = G/G G/T+T/T, OR = 0.63, 95%CI: 0.40-0.98, < 0.05 and rs7903146 = C/C C/T+T/T, OR = 0.79, 95%CI: 0.41-1.55, = 0.3. The rs12255372 SNP showed high association with the type 2 diabetes cases (OR = 1.60, 95%CI: 1.20-2.51, < 0.05). However, when the type 2 diabetics group was analyzed according to the atypical and classical subgroupings, the association with diabetes existed only for rs12255372 and the classical subgroup ( controls: OR = 2.1, 95%CI: 1.21-3.75, < 0.05); no significant differences were found for either SNP or atypical diabetes. This is the first time SNPs_ were genotyped in a diabetic population stratified by genotype instead of phenotype. Classical and atypical patients showed statistical differences.
ISSN:1948-9358
1948-9358
DOI:10.4239/wjd.v9.i9.157