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首页> 外文期刊>Hormone and Metabolic Research >Variants of the PPARG, IGF2BP2, CDKAL1, HHEX, and TCF7L2 genes confer risk of type 2 diabetes independently of BMI in the German KORA studies.
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Variants of the PPARG, IGF2BP2, CDKAL1, HHEX, and TCF7L2 genes confer risk of type 2 diabetes independently of BMI in the German KORA studies.

机译:在德国KORA研究中,PPARG,IGF2BP2,CDKAL1,HHEX和TCF7L2基因的变体赋予了2型糖尿病风险,而与BMI无关。

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Genome-wide association (GWA) studies identified novel gene variants that are associated with type 2 diabetes. However, results were not always consistent across different populations. Thus, the aims of this study were (i) to replicate findings from previous GWA studies in mainly Northern European populations using data from the German KORA 500 K diabetes project and (ii) to assess the impact of BMI on associations between single nucleotide polymorphisms (SNPs) and type 2 diabetes. The KORA 500 K diabetes project includes 433 cases with validated type 2 diabetes and 1 438 nondiabetic controls from two population-based KORA surveys. Genotyping was performed using the Affymetrix GeneChip Human Mapping 500 K Array Set. We investigated associations between SNPs and type 2 diabetes in 10 genes that have been reported to increase the risk of type 2 diabetes or were in complete or near-complete linkage disequilibrium with these variants. SNPs in the CDKAL1 gene showed the strongest association with type 2 diabetes [range of age and sex-adjusted odds ratios (OR): 1.30-1.39, p-values 0.0008-0.0004]. In addition, we found evidence for association of SNPs in the genes PPARG, IGF2BP2, HHEX, TCF7L2, and FTO with type 2 diabetes in the same directions as previously described (p<0.05), but not for WFS1, CDKN2A/B, KCNJ11, or EXT2. Adjustment for BMI slightly strengthened the link between CDKAL1 and type 2 diabetes, but had almost no impact on the other associations. We conclude that gene variants of CDKAL1, PPARG, IGF2BP2, HHEX, TCF7L2, and FTO predispose to type 2 diabetes in the German KORA 500 K study population. These associations appear to be independent of BMI.
机译:全基因组关联(GWA)研究确定了与2型糖尿病相关的新型基因变异。但是,不同人群的结果并不总是一致的。因此,本研究的目的是(i)使用德国KORA 500 K糖尿病项目的数据在主要的北欧人群中复制以前的GWA研究的结果,以及(ii)评估BMI对单核苷酸多态性之间关联的影响( SNPs)和2型糖尿病。 KORA 500 K糖尿病项目包括来自两项基于人群的KORA调查中的433例经验证的2型糖尿病和1 438例非糖尿病对照。使用Affymetrix GeneChip Human Mapping 500 K Array Set进行基因分型。我们调查了10个基因中SNP与2型糖尿病之间的关联,这些基因已被报道会增加2型糖尿病的风险或与这些变异处于完全或接近完全的连锁不平衡状态。 CDKAL1基因中的SNPs与2型糖尿病之间的关联最强[年龄和性别调整后的优势比(OR):1.30-1.39,p值0.0008-0.0004]。此外,我们发现证据表明PPARG,IGF2BP2,HHEX,TCF7L2和FTO基因中的SNP与2型糖尿病的关系与先前所述的方向相同(p <0.05),但与WFS1,CDKN2A / B,KCNJ11无关。或EXT2。 BMI的调整稍微加强了CDKAL1与2型糖尿病之间的联系,但对其他关联几乎没有影响。我们得出结论,在德国KORA 500 K研究人群中,CDKAL1,PPARG,IGF2BP2,HHEX,TCF7L2和FTO的基因变异易患2型糖尿病。这些关联似乎独立于BMI。

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