Center for Medical Genetics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Department of Pediatrics, Yamanashi University, Yamanashi, Japan.
Sci Rep. 2024 Aug 26;14(1):19741. doi: 10.1038/s41598-024-70831-7.
Cockayne syndrome (CS) is a rare autosomal recessive disorder caused by mutations in ERCC8 or ERCC6. Most pathogenic variants in ERCC8 are single nucleotide substitutions. Structural variants (SVs) have been reported in patients with ERCC8-related CS. However, comprehensive molecular detection, including SVs of ERCC8, in CS patients remains problematic. Herein, we present three Japanese patients with ERCC8-related CS in whom causative SVs were identified using whole-exome-based copy number variation (CNV) detection tools. One patient showed compound heterozygosity for a 259-kb deletion and a deletion of exon 4 which has previously been reported as an Asia-specific variant. The other two patients were homozygous for the same exon 4 deletion. The exon 4 deletion was detected only by the ExomeDepth software. Intrigued by the discrepancy in the detection capability of various tools for the SVs, we evaluated the analytic performance of four whole-exome-based CNV detection tools using an exome data set from 337 healthy individuals. A total of 1,278,141 exons were predicted as being affected by the 4 CNV tools. Interestingly 95.1% of these affected exons were detected by one tool alone. Thus, we expect that the use of multiple tools may improve the detection rate of SVs from aligned exome data.
科凯恩综合征(CS)是一种罕见的常染色体隐性遗传疾病,由 ERCC8 或 ERCC6 的突变引起。大多数 ERCC8 中的致病变体是单核苷酸取代。已在 ERCC8 相关 CS 患者中报道了结构变异(SVs)。然而,CS 患者的综合分子检测,包括 ERCC8 的 SVs,仍然存在问题。在此,我们介绍了 3 例 ERCC8 相关 CS 的日本患者,他们使用基于全外显子的拷贝数变异(CNV)检测工具确定了致病的 SVs。一名患者表现为 259-kb 缺失和exon 4 缺失的复合杂合性,exon 4 缺失先前被报道为亚洲特异性变体。另外两名患者为 exon 4 缺失的纯合子。仅通过 ExomeDepth 软件检测到 exon 4 缺失。由于各种工具对 SVs 的检测能力存在差异,我们使用来自 337 名健康个体的外显子组数据集评估了 4 种基于全外显子的 CNV 检测工具的分析性能。总共预测了 1,278,141 个外显子受到 4 种 CNV 工具的影响。有趣的是,这些受影响的外显子中有 95.1% 仅被一种工具检测到。因此,我们预计使用多种工具可以提高从对齐的外显子组数据中检测 SVs 的效率。