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Identification and characterization of two DMD pedigrees with large inversion mutations based on a long-read sequencing pipeline

Authors :
Chang Geng
Ciliu Zhang
Pidong Li
Yuanren Tong
Baosheng Zhu
Jing He
Yanhuan Zhao
Fengxia Yao
Li-Ying Cui
Fan Liang
Yang Wang
Yaru Wang
Hongshuai Jin
Dandan Lang
Shanlin Liu
Depeng Wang
Min S. Park
Lin Chen
Jing Peng
Yi Dai
Source :
European Journal of Human Genetics. 31:504-511
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Pathogenic large inversions are rarely reported on DMD gene due to the lack of effective detection methods. Here we report two DMD pedigrees and proposed a reliable pipeline to define large inversions in DMD patients. In the first pedigree, conventional approaches including multiplex ligation-dependent probe amplification, and whole-exome sequencing by next generation sequencing were failed to detect any pathologic variant. Then an advanced analysis pipeline which consists of RNA-seq, cDNA array capture sequencing, optical mapping, long-read sequencing was built. RNA-seq and cDNA capture sequencing showed a complete absence of transcripts of exons 3-55. Optical mapping identified a 55 Mb pericentric inversion between Xp21 and Xq21. Subsequently, long-read sequencing and Sanger sequencing determined the inversion breakpoints at 32,915,769 and 87,989,324 of the X chromosomes. In the second pedigree, long-read sequencing was directly conducted and Sanger sequencing was performed to verify the mutation. Long-read sequencing and Sanger sequencing found breakpoints at 32,581,576 and 127,797,236 on DMD gene directly. In conclusion, large inversion might be a rare but important mutation type in DMD gene. An effective pipeline was built in detecting large inversion mutations based on long-read sequencing platforms.

Subjects

Subjects :
Genetics
Genetics (clinical)

Details

ISSN :
14765438 and 10184813
Volume :
31
Database :
OpenAIRE
Journal :
European Journal of Human Genetics
Accession number :
edsair.doi.dedup.....0ce786a518b2947d403f119412f75714
Full Text :
https://doi.org/10.1038/s41431-022-01190-y