Evidence map›Paper›PMID 31829207›Full record

ArticleBMC medical genomics2019

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

Aditya Ekawade, Matt Velinder, Alistair Ward, Tonya DiSera, Chase Miller, Yi Qiao, Gabor Marth

Abstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Journal of personalized medicine · 2022
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Aditya EkawadeUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Matt VelinderUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA. matt.velinder@utah.edu.ORCID 0000-0003-3350-8647
Alistair WardUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Tonya DiSeraUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Chase MillerUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Yi QiaoUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Gabor MarthUSTAR Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.

Funding

Enhancing clinical diagnostic analysis with a robust de novo mutation detection toolR01HG012286 · NHGRI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gabor T Marth, MARTIN TRISTANI-FIROUZI · 2022 to 2026
$4.7M
IOBIO: Web-based, interactive tools for real-time analysis in genomic big dataR01HG009000 · NHGRI · UNIVERSITY OF UTAH · PI MARTH, GABOR T · 2017 to 2020
$2.9M
Web tools for physician-driven diagnostic interpretation of genomic patient dataR01HG009712 · NHGRI · UNIVERSITY OF UTAH · PI MARTH, GABOR T, TRISTANI-FIROUZI, MARTIN · 2017 to 2020
$2.8M
IOBIO based, distributed genomic data access, management, visualization, and analysisR44HG009096 · NHGRI · FRAMESHIFT LABS, INC. · PI MARTH, GABOR T, MILLER, CHASE · 2018 to 2019
$2.0M
Empowering real-time, web-based genomic big data analysis at commercial scale.R41HG009096 · NHGRI · FRAMESHIFT LABS, INC. · PI MARTH, GABOR T, MILLER, CHASE · 2016 to 2017
$275k
Visually-driven disease variant analysis empowering real-time clinical research.R41HG009629 · NHGRI · FRAMESHIFT LABS, INC. · PI MARTH, GABOR T, MILLER, CHASE · 2017 to 2017
$256k
Novel iobio analysis supporting genome scale data quality control.R43HG009868 · NHGRI · FRAMESHIFT LABS, INC. · PI MARTH, GABOR T, MILLER, CHASE · 2017 to 2017
$250k
NHGRI NIH HHS R01 HG009000NHGRI NIH HHS R01 HG009712NHGRI NIH HHS R01 HG012286NHGRI NIH HHS R41 HG009096NHGRI NIH HHS R41 HG009629NHGRI NIH HHS R43 HG009868NHGRI NIH HHS R44 HG009096
6 · The paper itself

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.

Indexed as

InternetPhenotypeComputational BiologyDatabases, GeneticDiseaseHumans

Identifiers

PMID31829207
PMCPMC6907284

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.