title: PATH-SCAN: a reporting tool for identifying clinically actionable variants.
abstract: The American College of Medical Genetics and Genomics (ACMG) recently released guidelines regarding the reporting of incidental findings in sequencing data. Given the availability of Direct to Consumer (DTC) genetic testing and the falling cost of whole exome and genome sequencing, individuals will increasingly have the opportunity to analyze their own genomic data. We have developed a web-based tool, PATH-SCAN, which annotates individual genomes and exomes for ClinVar designated pathogenic variants found within the genes from the ACMG guidelines. Because mutations in these genes predispose individuals to conditions with actionable outcomes, our tool will allow individuals or researchers to identify potential risk variants in order to consult physicians or genetic counselors for further evaluation. Moreover, our tool allows individuals to anonymously submit their pathogenic burden, so that we can crowd source the collection of quantitative information regarding the frequency of these variants. We tested our tool on 1092 publicly available genomes from the 1000 Genomes project, 163 genomes from the Personal Genome Project, and 15 genomes from a clinical genome sequencing research project. Excluding the most commonly seen variant in 1000 Genomes, about 20% of all genomes analyzed had a ClinVar designated pathogenic variant that required further evaluation.
authors.affiliation: Department of Genetics, Stanford University, Stanford, CA 94061, United States.
authors.forename: Roxana
authors.initials: R
authors.lastname: Daneshjou
authors.forename: Zachary
authors.initials: Z
authors.lastname: Zappala
authors.forename: Kim
authors.initials: K
authors.lastname: Kukurba
authors.forename: Sean M
authors.initials: SM
authors.lastname: Boyle
authors.forename: Kelly E
authors.initials: KE
authors.lastname: Ormond
authors.forename: Teri E
authors.initials: TE
authors.lastname: Klein
authors.forename: Michael
authors.initials: M
authors.lastname: Snyder
authors.forename: Carlos D
authors.initials: CD
authors.lastname: Bustamante
authors.forename: Russ B
authors.initials: RB
authors.lastname: Altman
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Montgomery
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D059472:Exome; D005820:Genetic Testing / Q000706:statistics & numerical data*; D014644:Genetic Variation; D023281:Genomics / Q000706:statistics & numerical data; D006801:Humans; D033162:Incidental Findings; D020407:Internet; D009154:Mutation; D057285:Precision Medicine; D012955:Societies, Medical; D012984:Software; D014481:United States