An approach to rapid characterization of DMD copy number variants for prenatal risk assessment.
Hui-Lin ChinKieran O'NeillKristal LouieLindsay BrownKamilla Schlade-BartusiakPatrice EydouxRosemarie RuppsAli FarahaniElizabeth M J LeeSteven J M JonesPublished in: American journal of medical genetics. Part A (2021)
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.
Keyphrases
- copy number
- duchenne muscular dystrophy
- mitochondrial dna
- genome wide
- muscular dystrophy
- risk assessment
- pregnant women
- dna methylation
- loop mediated isothermal amplification
- early onset
- machine learning
- climate change
- high resolution
- gene expression
- body mass index
- smoking cessation
- birth weight
- electronic health record
- physical activity
- pregnancy outcomes
- label free
- quantum dots
- weight loss
- preterm birth