Exploring unsolved cases of lissencephaly spectrum: integrating exome and genome sequencing for higher diagnostic yield

桑格测序 外显子组测序 无意识 拷贝数变化 计算生物学 生物 遗传学 DNA测序 外显子组 遗传咨询 基因组 突变 基因
作者
Shogo Furukawa,Mitsuhiro Kato,Akihiko Ishiyama,Takatsune Kumada,Takeshi Yoshida,Eri Takeshita,Pin Fee Chong,Hideo Yamanouchi,Yojiro Kotake,Takayoshi Kyoda,Toshihiro Nomura,Yohane Miyata,Mitsuko Nakashima,Hirotomo Saitsu
出处
期刊:Journal of Human Genetics [Springer Nature]
标识
DOI:10.1038/s10038-024-01283-0
摘要

Lissencephaly is a rare brain malformation characterized by abnormal neuronal migration during cortical development. In this study, we performed a comprehensive genetic analysis using next-generation sequencing in 12 unsolved Japanese lissencephaly patients, in whom PAFAH1B1, DCX, TUBA1A, and ARX variants were excluded using the Sanger method. Exome sequencing (ES) was conducted on these 12 patients, identifying pathogenic variants in CEP85L, DYNC1H1, LAMC3, and DCX in four patients. Next, we performed genome sequencing (GS) on eight unsolved patients, and structural variants in PAFAH1B1, including an inversion and microdeletions involving several exons, were detected in three patients. Notably, these microdeletions in PAFAH1B1 could not to be detected by copy number variation (CNV) detection tools based on the depth of coverage methods using ES data. The density of repeat sequences, including Alu sequences or segmental duplications, which increase the susceptibility to structural variations, is very high in some lissencephaly spectrum genes (PAFAH1B1, TUBA1A, DYNC1H1). These missing CNVs were due to the limitations of detecting repeat sequences in ES-based CNV detection tools. Our study suggests that a combined approach integrating ES with GS can contribute to a higher diagnostic yield and a better understanding of the genetic landscape of the lissencephaly spectrum.
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