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Male infertility and its genetic causes

期刊

JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH
卷 41, 期 10, 页码 1501-1505

出版社

WILEY
DOI: 10.1111/jog.12765

关键词

AURKC; azoospermia factor; KLHL10; male infertility; SPATA16; SYCP3

资金

  1. Japan Society for the Promotion of Science [25462547, 26462469, 24249019]
  2. Ministry of Health, Labour and Welfare of Japan [11105137]
  3. Ministry of Education, Culture, Sports, Science, and Technology of Japan [12024421]
  4. Suhara Memorial Foundation
  5. Grants-in-Aid for Scientific Research [26462469, 25462547] Funding Source: KAKEN

向作者/读者索取更多资源

AimInfertility is a serious social problem in advanced nations, with male factor infertility accounting for approximately half of all cases of infertility. Here, we aim to discuss our laboratory results in the context of recent literature on critical genes residing on the Y chromosome or autosomes that play important roles in human spermatogenesis. MethodsThe PubMed database was systematically searched using the following keywords: genetics of male factor infertility'; male infertility genes', genetics of spermatogenesis' to retrieve information for this review. ResultsStriking progress has recently been made in the elucidation of mechanisms of spermatogenesis using knockout mouse models. This information has, in many cases, not been directly translatable to humans. Nevertheless, mutations in several critical genes have been shown to cause male infertility. We discuss here the contribution to male factor infertility of a number of genes identified in the azoospermia factor (AZF) region on the Y chromosome, as well as the autosomally located genes: SYKP3, KLHL10, AURKC and SPATA16. ConclusionsNon-obstructive azoospermia is the most severe form of azoospermia. However, the presence of spermatozoa can only be confirmed through procedures, which may prove to be unnecessary. Elucidation of the genes underlying male factor infertility, and thereby a better understanding of the mechanisms that cause it, will result in more tailored, evidence-based decisions in treatment of patients.

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