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Application of targeted nanopore sequencing for the screening and determination of structural variants in patients with Lynch syndrome

Authors :
Naohiro Tomita
Nagahide Matsubara
Yoshihiro Moriya
Tsuneo Ikenoue
Rui Yamaguchi
Yoichi Furukawa
Kenichi Sugihara
Seiya Imoto
Seira Hatakeyama
Kotoe Katayama
Eigo Shimizu
Chikashi Ishioka
Teruhiko Yoshida
Kokichi Sugano
Satoru Miyano
Yusuke Nakamura
Satoshi Kaneko
Tadashi Nomizu
Masami Arai
Kazuo Tamura
Kiyoko Takane
Takeo Iwama
Kiyoshi Yamaguchi
Rika Kasajima
Source :
Journal of Human Genetics. 66:1053-1060
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Lynch syndrome is a hereditary disease characterized by an increased risk of colorectal and other cancers. Germline variants in the mismatch repair (MMR) genes are responsible for this disease. Previously, we screened the MMR genes in colorectal cancer patients who fulfilled modified Amsterdam II criteria, and multiplex ligation-dependent probe amplification (MPLA) identified 11 structural variants (SVs) of MLH1 and MSH2 in 17 patients. In this study, we have tested the efficacy of long read-sequencing coupled with target enrichment for the determination of SVs and their breakpoints. DNA was captured by array probes designed to hybridize with target regions including four MMR genes and then sequenced using MinION, a nanopore sequencing platform. Approximately, 1000-fold coverage was obtained in the target regions compared with other regions. Application of this system to four test cases among the 17 patients correctly mapped the breakpoints. In addition, we newly found a deletion across an 84 kb region of MSH2 in a case without the pathogenic single nucleotide variants. These data suggest that long read-sequencing combined with hybridization-based enrichment is an efficient method to identify both SVs and their breakpoints. This strategy might replace MLPA for the screening of SVs in hereditary diseases.

Details

ISSN :
1435232X and 14345161
Volume :
66
Database :
OpenAIRE
Journal :
Journal of Human Genetics
Accession number :
edsair.doi...........741d72bb3b1bb3cd6eafa7710e5def84