Back to Search Start Over

Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists

Authors :
Yi Qiao
Matt Velinder
Tonya DiSera
Aditya Ekawade
Chase Miller
Gabor T. Marth
Alistair Ward
Source :
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-4 (2019), BMC Medical Genomics
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

When ordering genetic testing or triaging candidate variants in exome and genome sequencing studies, it is critical to generate and test a comprehensive list of candidate genes that succinctly describe the complete and objective phenotypic features of disease. Significant efforts have been made to curate gene:disease associations both in academic research and commercial genetic testing laboratory settings. However, many of these valuable resources exist as islands and must be used independently, generating static, single-resource gene:disease association lists. Here we describe genepanel.iobio (https://genepanel.iobio.io) an easy to use, free and open-source web tool for generating disease- and phenotype-associated gene lists from multiple gene:disease association resources, including the NCBI Genetic Testing Registry (GTR), Phenolyzer, and the Human Phenotype Ontology (HPO). We demonstrate the utility of genepanel.iobio by applying it to complex, rare and undiagnosed disease cases that had reached a diagnostic conclusion. We find that genepanel.iobio is able to correctly prioritize the gene containing the diagnostic variant in roughly half of these challenging cases. Importantly, each component resource contributed diagnostic value, showing the benefits of this aggregate approach. We expect genepanel.iobio will improve the ease and diagnostic value of generating gene:disease association lists for genetic test ordering and whole genome or exome sequencing variant prioritization.

Details

ISSN :
17558794
Volume :
12
Database :
OpenAIRE
Journal :
BMC Medical Genomics
Accession number :
edsair.doi.dedup.....e6f13e955f38268b9cf9fe7a94e228bd
Full Text :
https://doi.org/10.1186/s12920-019-0641-1