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从非梗阻性无精子症患者中鉴定致病变异。

Identification of pathogenic mutations from nonobstructive azoospermia patients†.

机构信息

Division of Reproduction and Genetics, First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China, Hefei, China.

出版信息

Biol Reprod. 2022 Jul 25;107(1):85-94. doi: 10.1093/biolre/ioac089.

Abstract

It is estimated that approximately 25% of nonobstructive azoospermia (NOA) cases are caused by single genetic anomalies, including chromosomal aberrations and gene mutations. The identification of these mutations in NOA patients has always been a research hot spot in the area of human infertility. However, compared with more than 600 genes reported to be essential for fertility in mice, mutations in approximately 75 genes have been confirmed to be pathogenic in patients with male infertility, in which only 14 were identified from NOA patients. The small proportion suggested that there is much room to improve the methodology of mutation screening and functional verification. Fortunately, recent advances in whole exome sequencing and Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 have greatly promoted research on the etiology of human infertility and made improvements possible. In this review, we have summarized the pathogenic mutations found in NOA patients and the efforts we have made to improve the efficiency of mutation screening from NOA patients and functional verification with the application of new technologies.

摘要

据估计,大约 25%的非梗阻性无精子症(NOA)病例是由单一遗传异常引起的,包括染色体畸变和基因突变。在 NOA 患者中鉴定这些突变一直是人类不育领域的研究热点。然而,与报道的在小鼠中对生育至关重要的 600 多个基因相比,在男性不育患者中已证实大约 75 个基因的突变具有致病性,而在 NOA 患者中仅鉴定出 14 个。这一小比例表明,突变筛选和功能验证的方法还有很大的改进空间。幸运的是,全外显子组测序和 Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR)-Cas9 的最新进展极大地促进了人类不育病因的研究,并使改进成为可能。在这篇综述中,我们总结了在 NOA 患者中发现的致病性突变,以及我们为提高突变筛选效率和应用新技术进行功能验证所做的努力。

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