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Synergistic effect of the genetic polymorphisms of the renin–angiotensin–aldosterone system on high-altitude pulmonary edema: a study from Qinghai-Tibet altitude

机译:肾素-血管紧张素-醛固酮系统基因多态性对高原肺水肿的协同作用:青藏高原的研究

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The pathogenesis of high-altitude pulmonary edema (HAPE) has been at least partially attributed to the local dysregulation of the renin–angiotensin–aldosterone system (RAAS) cascade. To address this issue, we conducted the largest nested case-control study to-date to explore the association between variations in RAAS genes and HAPE in Chinese population. We recruited 140 HAPE patients and 144 controls during the construction of Qinghai-Tibet railway and genotyped 10 gene polymorphisms evenly interspersed in 5 RAAS candidate genes. The data were analyzed by haplotype and multifactor dimensionality reduction (MDR). The single-locus analysis showed that CYP11B2 C-344T and K173R and ACE A-240T polymorphisms were significantly associated with HAPE after Bonferroni correction (P < 0.005). The linkage analysis constructed a linkage block including C-344T and K173R polymorphisms in complete linkage disequilibrium with each other, while occurred with significantly different frequencies between HAPE and control groups. The gene-gene interaction analysis found the overall best model including ACE A-240T and A2350G and CYP11B2 C-344T polymorphisms with strong synergistic effect. This model had a maximum testing accuracy of 68.61% and a maximum cross validation consistency of 9 out of 10 (P = 0.004). The homozygous genotype combination of ?240AA, 2350GG and ?344TT conferred high genetic susceptibility to HAPE, which was further strengthened by haplotype analysis. Our results add evidence for synergistic effect of RAAS gene polymorphisms on HAPE susceptibility. Moreover, we proposed a promising data-mining analytical approach (MDR) for detecting and characterizing gene-gene interactions.
机译:高原肺水肿(HAPE)的发病机制至少部分归因于肾素-血管紧张素-醛固酮系统(RAAS)级联的局部失调。为了解决这个问题,我们进行了迄今为止最大的嵌套病例对照研究,以探讨中国人群中RAAS基因变异与HAPE之间的关联。我们在青藏铁路的建设过程中招募了140名HAPE患者和144名对照,并对10个基因多态性进行了基因分型,这些基因多态性均匀地散布在5个RAAS候选基因中。通过单倍型和多因素降维(MDR)分析数据。单基因座分析显示,在Bonferroni校正后,CYP11B2 C-344T和K173R和ACE A-240T多态性与HAPE显着相关(P <0.005)。连锁分析构建了一个连锁块,其中包括C-344T和K173R多态性,彼此之间完全连锁不平衡,而HAPE和对照组之间的发生频率却明显不同。基因-基因相互作用分析发现,包括ACE A-240T和A2350G和CYP11B2 C-344T多态性在内的总体最佳模型具有很强的协同作用。该模型的最高测试准确度为68.61%,最大交叉验证一致性为10分之9(P = 0.004)。 ?240AA,2350GG和?344TT的纯合基因型组合赋予HAPE高遗传易感性,通过单倍型分析进一步增强了遗传易感性。我们的结果为RAAS基因多态性对HAPE敏感性的协同效应提供了证据。此外,我们提出了一种有前途的数据挖掘分析方法(MDR),用于检测和表征基因-基因相互作用。

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