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首页> 外文期刊>BMC Medical Genetics >Evaluation of four novel genetic variants affecting hemoglobin A1c levels in a population-based type 2 diabetes cohort (the HUNT2 study)
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Evaluation of four novel genetic variants affecting hemoglobin A1c levels in a population-based type 2 diabetes cohort (the HUNT2 study)

机译:在基于人群的2型糖尿病队列中评估影响血红蛋白A1c水平的四个新遗传变异(HUNT2研究)

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Background Chronic hyperglycemia confers increased risk for long-term diabetes-associated complications and repeated hemoglobin A1c (HbA1c) measures are a widely used marker for glycemic control in diabetes treatment and follow-up. A recent genome-wide association study revealed four genetic loci, which were associated with HbA1c levels in adults with type 1 diabetes. We aimed to evaluate the effect of these loci on glycemic control in type 2 diabetes. Methods We genotyped 1,486 subjects with type 2 diabetes from a Norwegian population-based cohort (HUNT2) for single-nucleotide polymorphisms (SNPs) located near the BNC2 , SORCS1 , GSC and WDR72 loci. Through regression models, we examined their effects on HbA1c and non-fasting glucose levels individually and in a combined genetic score model. Results No significant associations with HbA1c or glucose levels were found for the SORCS1 , BNC2 , GSC or WDR72 variants (all P -values > 0.05). Although the observed effects were non-significant and of much smaller magnitude than previously reported in type 1 diabetes, the SORCS1 risk variant showed a direction consistent with increased HbA1c and glucose levels, with an observed effect of 0.11% ( P = 0.13) and 0.13 mmol/l ( P = 0.43) increase per risk allele for HbA1c and glucose, respectively. In contrast, the WDR72 risk variant showed a borderline association with reduced HbA1c levels ( β = -0.21, P = 0.06), and direction consistent with decreased glucose levels ( β = -0.29, P = 0.29). The allele count model gave no evidence for a relationship between increasing number of risk alleles and increasing HbA1c levels ( β = 0.04, P = 0.38). Conclusions The four recently reported SNPs affecting glycemic control in type 1 diabetes had no apparent effect on HbA1c in type 2 diabetes individually or by using a combined genetic score model. However, for the SORCS1 SNP, our findings do not rule out a possible relationship with HbA1c levels. Hence, further studies in other populations are needed to elucidate whether these novel sequence variants, especially rs1358030 near the SORCS1 locus, affect glycemic control in type 2 diabetes.
机译:背景慢性高血糖症会增加与糖尿病相关的长期并发症的风险,并且反复采取血红蛋白A1c(HbA1c)措施是糖尿病治疗和随访中广泛使用的血糖控制指标。最近的全基因组关联研究揭示了四个遗传位点,它们与1型糖尿病成年人的HbA1c水平相关。我们旨在评估这些基因座对2型糖尿病患者血糖控制的影响。方法我们对来自挪威人群基队列(HUNT2)的1486名2型糖尿病患者的BNC2,SORCS1,GSC和WDR72基因座附近的单核苷酸多态性(SNP)进行了基因分型。通过回归模型,我们在组合遗传评分模型中单独检查了它们对HbA1c和非空腹血糖水平的影响。结果SORCS1,BNC2,GSC或WDR72变体与HbA1c或葡萄糖水平无显着相关性(所有P值> 0.05)。尽管观察到的影响无统计学意义,并且比以前在1型糖尿病中报道的程度要小得多,但SORCS1风险变量显示出与HbA1c和葡萄糖水平升高一致的方向,观察到的影响为0.11%(P = 0.13)和0.13 HbA1c和葡萄糖的每个风险等位基因分别增加mmol / l(P = 0.43)。相比之下,WDR72风险变量显示了与降低的HbA1c水平(β= -0.21,P = 0.06)的临界关联,并且方向与降低的葡萄糖水平一致(β= -0.29,P = 0.29)。等位基因计数模型没有给出风险等位基因数量增加与HbA1c水平增加之间的关系的证据(β= 0.04,P = 0.38)。结论近期报道的四种影响1型糖尿病患者血糖控制的SNP对2型糖尿病患者的HbA1c均无明显作用,也没有采用联合遗传评分模型。但是,对于SORCS1 SNP,我们的发现并不排除与HbA1c水平可能的关系。因此,需要在其他人群中进行进一步研究,以阐明这些新的序列变异,特别是靠近SORCS1基因座的rs1358030是否会影响2型糖尿病的血糖控制。

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