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Saudi Journal of Kidney Diseases and Transplantation
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ORIGINAL ARTICLE Table of Contents   
Year : 2014  |  Volume : 25  |  Issue : 5  |  Page : 992-997
Univariate and multiple linear regression analyses for 23 single nucleotide polymorphisms in 14 genes predisposing to chronic glomerular diseases and IgA nephropathy in Han Chinese


1 Central Laboratory of 181st Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi, R. P. China
2 Central Laboratory of 181st Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, R. P. China

Correspondence Address:
Yong Dai
Clinical Medical Research Center of the Second Clinical Medical College, Jinan University, Shenzhen Peoples Hospital, Shenzhen 518020
R. P. China
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DOI: 10.4103/1319-2442.139882

PMID: 25193896

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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.


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