Open AccessUnivariate and multiple linear regression analyses for 23 single nucleotide polymorphisms in 14 genes predisposing to chronic glomerular diseases and IgA nephropathy in Han Chinese
Author(s) -
Hui Wang,
Weiguo Sui,
Wen Xue,
Junyong Wu,
Jiejing Chen,
Yong Dai
Publication year - 2014
Publication title -
saudi journal of kidney diseases and transplantation/našrat amraḍ wa zira'aẗ al-kulaẗ
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 30
eISSN - 2320-3838
pISSN - 1319-2442
DOI - 10.4103/1319-2442.139882
Subject(s) - single nucleotide polymorphism , medicine , gene , nephropathy , genetics , genetic association , locus (genetics) , univariate analysis , genome wide association study , genotype , bioinformatics , immunology , biology , endocrinology , diabetes mellitus , multivariate analysis
Immunoglobulin A nephropathy (IgAN) is a complex trait regulated by the interaction among multiple physiologic regulatory systems and probably involving numerous genes, which leads to inconsistent findings in genetic studies. One possibility of failure to replicate some single-locus results is that the underlying genetics of IgAN nephropathy is based on multiple genes with minor effects. To learn the association between 23 single nucleotide polymorphisms (SNPs) in 14 genes predisposing to chronic glomerular diseases and IgAN in Han males, the 23 SNPs genotypes of 21 Han males were detected and analyzed with a BaiO gene chip, and their associations were analyzed with univariate analysis and multiple linear regression analysis. Analysis showed that CTLA4 rs231726 and CR2 rs1048971 revealed a significant association with IgAN. These findings support the multi-gene nature of the etiology of IgAN and propose a potential gene-gene interactive model for future studies.