Fabregat Matias, Fernandez Mariana, Javiel Gerardo, Vitarella Graciela, Mimbacas Adriana
Biodiversity and Genetic Department, Instituto de Investigaciones Biológicas Clemente Estable, 11600 Montevideo, Uruguay.
Teaching Care Unit, Unit of Diabetes "Hospital Pasteur", ASSE, Ministry of Public Health, 11600 Montevideo, Uruguay ; Diabetology Service of "Centro de Asistencia del Sindicato Médico del Uruguay", 11800 Montevideo, Uruguay.
J Diabetes Res. 2015;2015:485132. doi: 10.1155/2015/485132. Epub 2015 Jul 27.
The complex diagnosis and treatment of diabetes highlight the need for markers to define how to monitor patients correctly during the course of their disease. Different studies demonstrate the existence of patients who cannot be clearly classified. We have previously shown that it is possible to differentiate "atypical diabetic patients" based on genotyping the HLA. In this work we show that the analysis of non-HLA related to type 1 diabetes in the INS-VNTR, SNP rs689, and rs3842753 improves the identification of these patients. We genotyped 913 individuals comprising controls from the general population and "classic" and "atypical" diabetic patients. We compared the distribution of these loci and analyzed linkage disequilibrium. The haplotype was in LD for all the SNPs that were evaluated. Regarding their association with the disease, the haplotype IAC was associated with type 1 (odds 2.60, 1.82-3.72, CI 95%) and "atypical diabetes" (odds 1.50, 1.01-2.23, CI 95%), whereas we did not observe an association with type 2 diabetes. Therefore, our results confirm that atypical diabetes is a different entity of the disease where the patient presents with a genetic background of T1D and a T2D phenotype, findings that are likely to be relevant for patient diagnosis and management in the clinic.
糖尿病复杂的诊断和治疗凸显了在疾病过程中需要标志物来确定如何正确监测患者。不同研究表明存在无法明确分类的患者。我们之前已经表明,通过对HLA进行基因分型能够区分“非典型糖尿病患者”。在这项研究中,我们发现对INS-VNTR、SNP rs689和rs3842753中与1型糖尿病相关的非HLA进行分析,能够改善对这些患者的识别。我们对913名个体进行了基因分型,包括来自普通人群的对照以及“经典”和“非典型”糖尿病患者。我们比较了这些基因座的分布并分析了连锁不平衡。对于所有评估的单核苷酸多态性(SNP),单倍型都处于连锁不平衡状态。关于它们与疾病的关联,单倍型IAC与1型糖尿病(优势比2.60,1.82 - 3.72,95%置信区间)和“非典型糖尿病”(优势比1.50,1.01 - 2.23,95%置信区间)相关,而我们未观察到与2型糖尿病的关联。因此,我们的结果证实非典型糖尿病是该疾病的一种不同类型,患者具有1型糖尿病的遗传背景和2型糖尿病的表型,这些发现可能对临床患者的诊断和管理具有重要意义。