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.
Background and objective: High-altitude pulmonary oedema (HAPE) is a non-cardiogenic hydrostatic oedema involving a genetic component. Considering the low incidence of HAPE, sample sizes in current reports are relatively limited. We aimed to assess the association between the angiotensin-converting enzyme (ACE) I/D polymorphism and HAPE via a meta-analysis of published and unpublished data.
Materials and methods:We searched PubMed, CBM, CNKI, and Cochrane Library Database before 20 November 2010. A random-effects model was applied (STATA) and study quality was assessed in duplicate.Results: A total of five studies including 305 cases and 662 controls were meta-analysed. The summary odds ratio (OR) indicated that no significant differences in risk of developing HAPE were found between carriers of ACE D and I alleles (OR = 1.20; 95% confidence interval (CI), 0.98-1.48; p = 0.084). Lack of association persisted for genotypes under the recessive mode. However, genotype association under the dominant mode showed D allele carriers significantly conferred a 1.55-fold increased HAPE risk compared with II genotype carriers (95% CI, 1.15-2.08; p = 0.004). Funnel plot and Egger's test suggested no evidence of publication bias. Conclusions: Our results supported the notion that ACE D allele carriers were at significant increased risk of developing HAPE.
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