Cargando…
Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population
AIM: To investigate if mutations in TCF7L2 are associated with “atypical diabetes” in the Uruguayan population. METHODS: Healthy, nondiabetic controls (n = 133) and patients with type 2 diabetes (n = 177) were selected from among the presenting population at level-3 referral healthcare centers in Ur...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153121/ https://www.ncbi.nlm.nih.gov/pubmed/30254725 http://dx.doi.org/10.4239/wjd.v9.i9.157 |
_version_ | 1783357462182625280 |
---|---|
author | Beloso, Carolina Souto, Jorge Fabregat, Matias Romanelli, Gerardo Javiel, Gerardo Mimbacas, Adriana |
author_facet | Beloso, Carolina Souto, Jorge Fabregat, Matias Romanelli, Gerardo Javiel, Gerardo Mimbacas, Adriana |
author_sort | Beloso, Carolina |
collection | PubMed |
description | AIM: To investigate if mutations in TCF7L2 are associated with “atypical diabetes” in the Uruguayan population. METHODS: Healthy, nondiabetic controls (n = 133) and patients with type 2 diabetes (n = 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” (n = 92) and “classical diabetes” (n = 85). Genotyping for the rs12255372 and rs7903146 single nucleotide polymorphisms (SNPs) in the TCFTL2 gene was carried out with TaqMan(®) 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 t-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(2) 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 P < 0.05. RESULTS: We genotyped two TCF7L2 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 vs G/T+T/T, OR = 0.63, 95%CI: 0.40-0.98, P < 0.05 and rs7903146 = C/C vs C/T+T/T, OR = 0.79, 95%CI: 0.41-1.55, P = 0.3. The rs12255372 SNP showed high association with the type 2 diabetes cases (OR = 1.60, 95%CI: 1.20-2.51, P < 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 (vs controls: OR = 2.1, 95%CI: 1.21-3.75, P < 0.05); no significant differences were found for either SNP or atypical diabetes. CONCLUSION: This is the first time SNPs_TCF7L2 were genotyped in a diabetic population stratified by genotype instead of phenotype. Classical and atypical patients showed statistical differences. |
format | Online Article Text |
id | pubmed-6153121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-61531212018-09-25 Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population Beloso, Carolina Souto, Jorge Fabregat, Matias Romanelli, Gerardo Javiel, Gerardo Mimbacas, Adriana World J Diabetes Case Control Study AIM: To investigate if mutations in TCF7L2 are associated with “atypical diabetes” in the Uruguayan population. METHODS: Healthy, nondiabetic controls (n = 133) and patients with type 2 diabetes (n = 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” (n = 92) and “classical diabetes” (n = 85). Genotyping for the rs12255372 and rs7903146 single nucleotide polymorphisms (SNPs) in the TCFTL2 gene was carried out with TaqMan(®) 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 t-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(2) 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 P < 0.05. RESULTS: We genotyped two TCF7L2 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 vs G/T+T/T, OR = 0.63, 95%CI: 0.40-0.98, P < 0.05 and rs7903146 = C/C vs C/T+T/T, OR = 0.79, 95%CI: 0.41-1.55, P = 0.3. The rs12255372 SNP showed high association with the type 2 diabetes cases (OR = 1.60, 95%CI: 1.20-2.51, P < 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 (vs controls: OR = 2.1, 95%CI: 1.21-3.75, P < 0.05); no significant differences were found for either SNP or atypical diabetes. CONCLUSION: This is the first time SNPs_TCF7L2 were genotyped in a diabetic population stratified by genotype instead of phenotype. Classical and atypical patients showed statistical differences. Baishideng Publishing Group Inc 2018-09-15 2018-09-15 /pmc/articles/PMC6153121/ /pubmed/30254725 http://dx.doi.org/10.4239/wjd.v9.i9.157 Text en ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Case Control Study Beloso, Carolina Souto, Jorge Fabregat, Matias Romanelli, Gerardo Javiel, Gerardo Mimbacas, Adriana Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population |
title | Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population |
title_full | Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population |
title_fullStr | Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population |
title_full_unstemmed | Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population |
title_short | Association of TCF7L2 mutation and atypical diabetes in a Uruguayan population |
title_sort | association of tcf7l2 mutation and atypical diabetes in a uruguayan population |
topic | Case Control Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153121/ https://www.ncbi.nlm.nih.gov/pubmed/30254725 http://dx.doi.org/10.4239/wjd.v9.i9.157 |
work_keys_str_mv | AT belosocarolina associationoftcf7l2mutationandatypicaldiabetesinauruguayanpopulation AT soutojorge associationoftcf7l2mutationandatypicaldiabetesinauruguayanpopulation AT fabregatmatias associationoftcf7l2mutationandatypicaldiabetesinauruguayanpopulation AT romanelligerardo associationoftcf7l2mutationandatypicaldiabetesinauruguayanpopulation AT javielgerardo associationoftcf7l2mutationandatypicaldiabetesinauruguayanpopulation AT mimbacasadriana associationoftcf7l2mutationandatypicaldiabetesinauruguayanpopulation |