BMC Medical Genomics (Mar 2022)

Association of CATSPER1, SPATA16 and TEX11 genes polymorphism with idiopathic azoospermia and oligospermia risk in Iranian population

  • Mohammadreza Behvarz,
  • Seyyed Ali Rahmani,
  • Elham Siasi Torbati,
  • Shahla Danaei Mehrabad,
  • Maryam Bikhof Torbati

DOI
https://doi.org/10.1186/s12920-022-01197-w
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 7

Abstract

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Abstract Background Male infertility is a heterogeneous disease which can occur due to spermatogenesis defects. The idiopathic azoospermia and oligospermia are the common cause of male infertility with unknown underlying molecular mechanisms. The aim of this study was to investigate association of idiopathic azoospermia and oligospermia with single-nucleotide polymorphisms of CATSPER1, SPATA16 and TEX11 genes in Iranian-Azeri men. Methods In this case–control study, we recruited 100 infertile men (case group) and 100 fertile men (control group) from Azeri population in north western provinces, Iran, population. The genomic DNA was extracted using a proteinase K method from peripheral blood leukocytes. The genotypes analysis was conducted using tetra-primer amplification refractory mutation system-polymerase chain reaction method. The obtained data were analyzed by statistical software. Results We found a significant difference in the frequencies of heterozygote AB and mutant homozygote BB genotypes in the CATSPER1 (rs2845570) gene polymorphism between patients and healthy controls (p < 0.05). Moreover, we observed a significant difference in the frequencies of heterozygote BA genotype in the SPATA16 (rs1515442) gene polymorphism between patients and healthy controls (p < 0.05). However, no significant difference was found in genotypes distribution of case and control groups in the TEX11 (rs143246552) gene polymorphism. Conclusion Our finding showed that the CATSPER1 (rs2845570) and SPATA16 (rs1515442) genes polymorphism may play an important role in idiopathic azoospermia and oligospermia in Iranian Azeri population. However, more extensive studies with larger sample sizes from different ethnic origins are essential for access more accurate results.

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