Document Type
Article
Publication Date
11-1-2018
Identifier
DOI: 10.1002/humu.23646
Abstract
The variable evidence supporting gene-disease associations contributes to the difficulty of accurate variant reporting in a clinical setting. An evidence-based scoring system for evaluating the clinical validity of gene-disease associations, proposed by ClinGen, considers experimental as well as genetic evidence. De novo variants are heavily weighted, given the overall rarity in the genome and their contribution to human disease, however they are reported as "genes of unknown significance" in our center when there is insufficient evidence for the gene-disease assertion. We report a collection of 21 de novo variants in genes of unknown clinical significance ascertained via clinical testing, of which eight of 21 (38%) are predicted to cause loss of function. These genes were subjected to ClinGen scoring to assess the strength of gene-disease relationships. Using a cutoff for moderate high or strong, 10 of 21 genes now have sufficient evidence to qualify as likely pathogenic or pathogenic variants. Sharing such cases with phenotypic data is imperative to strengthen available genetic evidence to ultimately upgrade clinical validity classifications and facilitate accurate molecular diagnosis.
Journal Title
Human mutation
Volume
39
Issue
11
First Page
1505
Last Page
1516
MeSH Keywords
Genetic Predisposition to Disease; Genome, Human; Phenotype
Keywords
autism spectrum disorders; gene curation; gene of unknown clinical significance; intellectual disability; variant interpretation; variant of unknown clinical significance
Recommended Citation
Thiffault I, Cadieux-Dion M, Farrow E, et al. On the verge of diagnosis: Detection, reporting, and investigation of de novo variants in novel genes identified by clinical sequencing. Hum Mutat. 2018;39(11):1505-1516. doi:10.1002/humu.23646
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