1. Interaction of CARD14, SENP1 and VEGFA polymorphisms on susceptibility to high altitude polycythemia in the Han Chinese population at the Qinghai-Tibetan Plateau.
- Author
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Chen Y, Jiang C, Luo Y, Liu F, and Gao Y
- Subjects
- Adult, Alleles, Altitude, Altitude Sickness complications, Altitude Sickness diagnosis, Altitude Sickness ethnology, Asian People, Case-Control Studies, Cysteine Endopeptidases, Gene Expression, Genetic Predisposition to Disease, HSP70 Heat-Shock Proteins genetics, Hepcidins genetics, Humans, Hypoxia-Inducible Factor 1, alpha Subunit genetics, Linkage Disequilibrium, Male, Odds Ratio, Peptidyl-Dipeptidase A genetics, Polycythemia complications, Polycythemia diagnosis, Polycythemia ethnology, Tibet, Altitude Sickness genetics, CARD Signaling Adaptor Proteins genetics, Endopeptidases genetics, Epistasis, Genetic, Guanylate Cyclase genetics, Membrane Proteins genetics, Polycythemia genetics, Polymorphism, Single Nucleotide, Vascular Endothelial Growth Factor A genetics
- Abstract
High altitude polycythemia (HAPC) is a serious public health problem among Han Chinese immigrants to the Qinghai-Tibetan Plateau. This study aims to explore the genetic basis of HAPC in the Han Chinese population. 484 male subjects (234 patients and 250 controls) were enrolled in this study. Genotyping was performed for polymorphisms of I/D in ACE, C1772T and G1790A in exon 12 of HIF-1α, rs2567206 in CYP1B1, rs726354 in SENP1, rs3025033 in VEGFA, rs7251432 in HAMP, rs2075800 in HSPA1L and rs8065364 in CARD14. Gene-gene interaction was assessed by multifactor dimensionality reduction. A significant association was seen between CARD14 polymorphism rs8065364 and risk of HAPC development in male Han Chinese, and the C allele of rs8065364 was a risk factor (odds ratio (OR)=1.59, 95% confidence interval (95% CI)=1.21-2.08). Gene-gene interaction analysis indicated that a synergistic relationship existed between rs3025033 and rs8065364 (1.00%), rs3025033 and rs726354 (0.18%), and rs726354 and rs8065364 (0.17%). The combination of rs8065364 in CARD14, rs3025033 in VEGFA and rs726354 in SENP1 was the best model to predict HAPC development in this study (testing accuracy=0.6183, p=0.0010, cross-validated consistency=10/10). Genetic interactions of SNPs in CARD14, SENP1 and VEGFA might represent a functional mechanism in the pathogenesis of HAPC., (Copyright © 2015 Elsevier Inc. All rights reserved.)
- Published
- 2016
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