BMC Medical GenomicsGenomicsPeer-reviewed journal article
genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists
Aditya Ekawade, Matt VelinderiD, Alistair N. Ward, Tonya DiSeraiD, Chase Miller, Yi Qiao, Gábor MarthiD
Abstract
A comprehensive list of candidate genes that succinctly describe the complete and objective phenotypic features of disease is critical when both ordering genetic testing and when triaging candidate variants in exome and genome sequencing studies. Great efforts have been made to curate gene:disease associations both in academic research and commercial gene testing settings. However, many of these valuable resources exist as islands and must be used independently, generating static, single-resource gene:disease association lists. To more effectively utilize these resources we created 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 which had reached a diagnostic conclusion. We find that genepanel.iobio is able to correctly prioritize the diagnostic variant in over half of these challenging cases. Importantly, each 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.
- assay: whole-exome sequencing
- assay: whole-genome sequencing
- research focus: database / resource
- research focus: variant calling
- research focus: variant effect prediction
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 10
- FWCI
- 0.75
- Field percentile
- top 29%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PanelAppRex aggregates disease gene panels and facilitates sophisticated search
Quant Group, Simon Boutry, … Dylan Lawless·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2026
- Phenopolis: an open platform for harmonization and analysis of sequencing and phenotype data
Nikolas Pontikos, Jing Yu, … Vincent Plagnol·BioinformaticsPeer-reviewed·Mar 14, 2017
- gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization
Tonya Di Sera, Matt Velinder, … Gábor Marth·Scientific ReportsPeer-reviewed·Oct 13, 2021
- Phen2Gene: Rapid Phenotype-Driven Gene Prioritization for Rare Diseases
Mengge Zhao, James M. Havrilla, … Kai Wang·NAR Genomics and BioinformaticsPeer-reviewed·May 25, 2020
- The MorbidGenes panel: a monthly updated list of diagnostically relevant rare disease genes derived from diverse sources
Robin‐Tobias Jauss, Bernt Popp, … Konrad Platzer·Human GeneticsPeer-reviewed·Oct 28, 2024
- Hypothesis Generation For Rare and Undiagnosed Diseases Through Clustering and Classifying Time-Versioned Biological Ontologies
Michael S. Bradshaw, Connor P. Gibbs, … Ryan M. Layer·PLoS ONEPeer-reviewed·Dec 26, 2024