Center for Reproductive Medicine and Center of Prenatal Diagnosis, First Hospital, Jilin University, Changchun, China (mainland).
Changchun Jida Middle School Experimental School, Changchun, Jilin, China (mainland).
Med Sci Monit. 2019 Aug 4;25:5801-5812. doi: 10.12659/MSM.915375.
BACKGROUND This study aimed to screen common and low-frequency variants of nonobstructive azoospermia (NOA)-associated genes, and to construct a database for NOA-associated single nucleotide variants (SNVs). MATERIAL AND METHODS Next-generation sequencing of 466 NOA-associated genes was performed in 34 patients with NOA (mean age, 29.06±4.49 years) and 40 sperm donors (mean age, 25.08±5.75 years) from the Han population of northeast China. The SNV database was constructed by summarizing NOA non-negatively-associated SNVs showing statistical differences between NOA cases and controls, and then selecting low-frequency variants using Baylor's pipeline, to identify statistically valid SNVs. RESULTS There were 65 SNVs identified that were significantly different between both groups (p<0.05). Five genetic variants showed positive correlations with NOA: MTRR c.537T>C (rs161870), odds ratios (OR), 3.686, 95% confidence interval (CI), 1.228-11.066; MTRR, c.1049A>G (rs162036), OR, 3.686, 95% CI, 1.228-11.066; PIWIL1, c.1580G>A (rs1106042), OR, 4.737, 95% CI, 1.314-17.072; TAF4B, c.1815T>C (rs1677016), OR, 3.599, 95% CI, 1.255-10.327; and SOX10 c.927T>C (rs139884), OR, 3.192, 95% CI, 1.220-8.353. Also, 52 NOA non-negatively associated SNVs and 39 SNVs were identified by Baylor's pipeline and selected for the SNV database. CONCLUSIONS Five genetic variants were shown to have positive correlations with NOA. The SNV database constructed contained NOA non-negatively associated SNVs and low-frequency variants. This study showed that this approach was an effective strategy to identify risk alleles of NOA.
本研究旨在筛选非梗阻性无精子症(NOA)相关基因的常见和低频变异,并构建一个用于 NOA 相关单核苷酸变异(SNV)的数据库。
对来自中国东北汉族人群的 34 名 NOA 患者(平均年龄 29.06±4.49 岁)和 40 名精子供体(平均年龄 25.08±5.75 岁)进行了 466 个与 NOA 相关基因的下一代测序。通过总结在 NOA 病例和对照组之间表现出统计学差异的非负相关 SNV,构建了 SNV 数据库,然后使用 Baylor 管道选择低频变体,以识别具有统计学意义的 SNV。
在两组之间发现了 65 个具有显著差异的 SNV(p<0.05)。有 5 个遗传变异与 NOA 呈正相关:MTRR c.537T>C(rs161870),比值比(OR)3.686,95%置信区间(CI)1.228-11.066;MTRR c.1049A>G(rs162036),OR 3.686,95%CI 1.228-11.066;PIWIL1 c.1580G>A(rs1106042),OR 4.737,95%CI 1.314-17.072;TAF4B c.1815T>C(rs1677016),OR 3.599,95%CI 1.255-10.327;和 SOX10 c.927T>C(rs139884),OR 3.192,95%CI 1.220-8.353。此外,通过 Baylor 管道还鉴定出 52 个与 NOA 非负相关的 SNV 和 39 个 SNV,并选择用于 SNV 数据库。
有 5 个遗传变异与 NOA 呈正相关。构建的 SNV 数据库包含与 NOA 非负相关的 SNV 和低频变体。本研究表明,这种方法是一种有效的策略,可以识别非梗阻性无精子症的风险等位基因。