Literature DB >> 34018669

An approach to rapid characterization of DMD copy number variants for prenatal risk assessment.

Hui-Lin Chin1,2, Kieran O'Neill3, Kristal Louie1, Lindsay Brown4, Kamilla Schlade-Bartusiak4, Patrice Eydoux4, Rosemarie Rupps1, Ali Farahani5, Cornelius F Boerkoel1, Steven J M Jones1,3.   

Abstract

Prenatal detection of structural variants of uncertain significance, including copy number variants (CNV), challenges genetic counseling, and creates ambiguity for expectant parents. In Duchenne muscular dystrophy, variant classification and phenotypic severity of CNVs are currently assessed by familial segregation, prediction of the effect on the reading frame, and precedent data. Delineation of pathogenicity by familial segregation is limited by time and suitable family members, whereas analytical tools can rapidly delineate potential consequences of variants. We identified a duplication of uncertain significance encompassing a portion of the dystrophin gene (DMD) in an unaffected mother and her male fetus. Using long-read whole genome sequencing and alignment of short reads, we rapidly defined the precise breakpoints of this variant in DMD and could provide timely counseling. The benign nature of the variant was substantiated, more slowly, by familial segregation to a healthy maternal uncle. We find long-read whole genome sequencing of clinical utility in a prenatal setting for accurate and rapid characterization of structural variants, specifically a duplication involving DMD.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  DMD; Duchenne muscular dystrophy; copy number variant; long-read sequencing; prenatal genetic testing; structural variant

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Year:  2021        PMID: 34018669     DOI: 10.1002/ajmg.a.62349

Source DB:  PubMed          Journal:  Am J Med Genet A        ISSN: 1552-4825            Impact factor:   2.802


  1 in total

1.  Novel Partial Exon 51 Deletion in the Duchenne Muscular Dystrophy Gene Identified via Whole Exome Sequencing and Long-Read Whole-Genome Sequencing.

Authors:  Qianqian Li; Zhanni Chen; Hui Xiong; Ranran Li; Chenguang Yu; Jingjing Meng; Panlai Shi; Xiangdong Kong
Journal:  Front Genet       Date:  2021-11-26       Impact factor: 4.599

  1 in total

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