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CRISPR-Cas9/long-read sequencing approach to identify cryptic mutations in BRCA1 and other tumour suppressor genes.

Authors :
Walsh T
Casadei S
Munson KM
Eng M
Mandell JB
Gulsuner S
King MC
Source :
Journal of medical genetics [J Med Genet] 2021 Dec; Vol. 58 (12), pp. 850-852. Date of Electronic Publication: 2020 Oct 15.
Publication Year :
2021

Abstract

Current clinical approaches for mutation discovery are based on short sequence reads (100-300 bp) of exons and flanking splice sites targeted by multigene panels or whole exomes. Short-read sequencing is highly accurate for detection of single nucleotide variants, small indels and simple copy number differences but is of limited use for identifying complex insertions and deletions and other structural rearrangements. We used CRISPR-Cas9 to excise complete BRCA1 and BRCA2 genomic regions from lymphoblast cells of patients with breast cancer, then sequenced these regions with long reads (>10 000 bp) to fully characterise all non-coding regions for structural variation. In a family severely affected with early-onset bilateral breast cancer and with negative (normal) results by gene panel and exome sequencing, we identified an intronic SINE-VNTR-Alu retrotransposon insertion that led to the creation of a pseudoexon in the BRCA1 message and introduced a premature truncation. This combination of CRISPR-Cas9 excision and long-read sequencing reveals a class of complex, damaging and otherwise cryptic mutations that may be particularly frequent in tumour suppressor genes replete with intronic repeats.<br />Competing Interests: Competing interests: TW discloses consulting fees from Color Genomics outside the submitted work. M-CK is an American Cancer Society Research Professor.<br /> (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Details

Language :
English
ISSN :
1468-6244
Volume :
58
Issue :
12
Database :
MEDLINE
Journal :
Journal of medical genetics
Publication Type :
Academic Journal
Accession number :
33060287
Full Text :
https://doi.org/10.1136/jmedgenet-2020-107320