| Literature DB >> 34694049 |
Courtney Thaxton1, Molly E Good2, Marina T DiStefano3, Xi Luo4, Erica F Andersen5,6, Erik Thorland7, Jonathan Berg1, Christa Lese Martin2, Heidi L Rehm8, Erin R Riggs2.
Abstract
Understanding whether there is enough evidence to implicate a gene's role in a given disease, as well as the mechanisms by which variants in this gene might cause this disease, is essential to determine clinical relevance. The National Institutes of Health-funded Clinical Genome Resource (ClinGen) has developed evaluation frameworks to assess both the strength of evidence supporting a relationship between a gene and disease (gene-disease validity), and whether loss (haploinsufficiency) or gain (triplosensitivity) of individual genes or genomic regions is a mechanism for disease (dosage sensitivity). ClinGen actively applies these frameworks across multiple disease domains, and makes this information publicly available via its website (https://www.clinicalgenome.org/) for use in multiple applications, including clinical variant classification. Here, we describe how the results of these curation processes can be utilized to inform the appropriate application of pathogenicity criteria for both sequence and copy number variants, as well as to guide test development and inform genomic filtering pipelines.Entities:
Keywords: dosage sensitivity; gene panels; gene-disease validity; genetic testing; variant interpretation; variant pathogenicity
Mesh:
Year: 2021 PMID: 34694049 PMCID: PMC9035475 DOI: 10.1002/humu.24291
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.700