Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Gene. 2020 Mar 10;730:144259. doi: 10.1016/j.gene.2019.144259. Epub 2019 Nov 21.
Mexican Maya populations have a notably high prevalence of type 2 diabetes (T2D) as a consequence of the interaction between environmental factors and a genetic component. To assess the impact of 24 single nucleotide variants (SNVs) located in 18 T2D risk genes, we conducted a family-based association evaluation in samples from Maya communities with a high incidence of the disease. A total of four hundred individuals were recruited from three Maya communities with a high T2D incidence. Family pedigrees (100) and 49 nuclear families were included. Genotyping was performed by allelic discrimination with TaqMan probes. This study also included the family-based association test (FBAT) statistic U to assess the genetic associations with T2D, and the multivariate statistical and haplotype analyses. A positive association with TD2 risk was found for WFS1 rs6446482 (p = 0.046, Z = 1.994) under an additive model, and SIRT1 rs7896005 (p = 0.038, Z = 2.073) under the dominant model. Multivariate model analysis, including T2D status, age, and body mass index (BMI), displayed significant covariance in PPARGC-1α rs8192678; SIRT1 rs7896005; TCF7L2 rs7903146 and rs122243326; UCP3 rs3781907; and HHEX rs1111875 with a P < 0.05. This study revealed an association of SIRT1 and WFS1 with T2D risk.
墨西哥玛雅人群由于环境因素和遗传因素的相互作用，2 型糖尿病（T2D）的患病率显著升高。为了评估位于 18 个 T2D 风险基因中的 24 个单核苷酸变异（SNV）的影响，我们在 T2D 发病率高的玛雅人群样本中进行了基于家系的关联评估。从三个 T2D 发病率高的玛雅社区共招募了 400 名个体。包括 100 个家系谱和 49 个核心家庭。通过 TaqMan 探针进行等位基因区分进行基因分型。该研究还包括基于家系的关联检验（FBAT）统计量 U 来评估与 T2D 的遗传关联，以及多变量统计和单倍型分析。在加性模型下，WFS1 rs6446482（p=0.046，Z=1.994）和显性模型下 SIRT1 rs7896005（p=0.038，Z=2.073）与 TD2 风险呈正相关。包括 T2D 状态、年龄和体重指数（BMI）在内的多变量模型分析显示，PPARGC-1α rs8192678、SIRT1 rs7896005、TCF7L2 rs7903146 和 rs122243326、UCP3 rs3781907 和 HHEX rs1111875 存在显著的协方差（P<0.05）。本研究揭示了 SIRT1 和 WFS1 与 T2D 风险的关联。
Zotero 插件