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SNPs in ERCC1, ERCC2, and XRCC1 genes of the DNA repair pathway and risk of male infertility in the Asian populations: association study, meta-analysis, and trial sequential analysis

Authors :
Neelabh
Sandeep Kumar Bansal
Kumarasamy Thangaraj
Vertika Singh
Gopal Gupta
Digumarthi V. S. Sudhakar
Sameer Trivedi
Singh Rajender
Kiran Singh
Arijit Chakraborty
Source :
Journal of Assisted Reproduction and Genetics. 36:79-90
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

PURPOSE: We investigated if substitutions in the ERCC1, ERCC2, and XRCC1 genes of the DNA repair pathway correlate with non-obstructive azoospermia and male infertility. METHODS: A total of 548 azoospermic infertile males and 410 fertile controls were genotyped for XRCC1 399A > G, 280G > A, and ERCC1 C > A 3′ UTR and 541 azoospermic infertile males and 416 fertile controls were genotyped for ERCC2 751A > C using iPLEX Gold Assay. Meta-analyses were performed on XRCC1 399A > G (1022 cases and 1004 controls), ERCC1 C > A 3′ UTR (879 cases and 1059 controls), and ERCC2 751A > C (914 cases and 850 controls) polymorphisms to quantitatively estimate the significance of the association between these polymorphisms and the risk of infertility. RESULTS: Statistically significant association between ERCC2 751A > C SNP and male infertility was found using the codominant model (p = 0.03). Results of meta-analysis suggested a lack of correlation with male infertility risk, which could be due to pooling of studies from different ethnic populations. Due to limited the number of studies, a stratified analysis for different ethnic groups could not be performed. CONCLUSION (S): In conclusion, AA genotype of 751A > C SNP in ERCC2 correlated with a higher risk of male infertility and may contribute to an increased risk of azoospermia and male infertility in Indian men. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10815-018-1339-6) contains supplementary material, which is available to authorized users.

Details

ISSN :
15737330 and 10580468
Volume :
36
Database :
OpenAIRE
Journal :
Journal of Assisted Reproduction and Genetics
Accession number :
edsair.doi.dedup.....6769cd687f624e3e59be3592d73af476