Evidence map›Paper›PMID 34016036›Full record

ArticleBMC bioinformatics2021

WEScover: selection between clinical whole exome sequencing and gene panel testing.

In-Hee Lee, Yufei Lin, William Jefferson Alvarez, Carles Hernandez-Ferrer, Kenneth D Mandl, Sek Won Kong

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. 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
1.2field-weighted citation impact, top 20% of its field
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, 10 citations in OpenAlex.

  1. Guideline
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  3. Newly Described Mutations of theCurrent pediatric reviews · 2025
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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

6 authors at 1 institution in 2 countries.

In-Hee LeeComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Mail Stop BCH3187, LM5528.4, Boston, MA, 02115, USA.
Yufei LinComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Mail Stop BCH3187, LM5528.4, Boston, MA, 02115, USA.
William Jefferson AlvarezComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Mail Stop BCH3187, LM5528.4, Boston, MA, 02115, USA.
Carles Hernandez-FerrerComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Mail Stop BCH3187, LM5528.4, Boston, MA, 02115, USA.
Kenneth D MandlComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Mail Stop BCH3187, LM5528.4, Boston, MA, 02115, USA.
Sek Won KongComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Mail Stop BCH3187, LM5528.4, Boston, MA, 02115, USA. sekwon.kong@childrens.harvard.edu.ORCID http://orcid.org/0000-0003-4877-7567
Boston Children's Hospital · US

Funding

Coordinating Center for the Undiagnosed Diseases NetworkU01HG007530 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2014 to 2022
$30.2M
Instrumenting the Delivery System for a Genomics Research Information CommonsU01TR002623 · NCATS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2019 to 2024
$8.6M
Biorepository of iPSC lines from diverse rat strains for regenerative medicine researchR24OD024622 · OD · MCLEAN HOSPITAL · PI KIM, KWANG-SOO, KONG, SEK WON · 2018 to 2021
$3.4M
An environment-wide association study in autism spectrum disorders using novel bioinformatics methods and metabolomics via mass spectrometryR01MH107205 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI KONG, SEK WON · 2015 to 2019
$2.1M
NCATS NIH HHS U01 TR002623NHGRI NIH HHS U01 HG007530NIH HHS R01MH107205NIH HHS R24 OD024622NIH HHS R24OD024622NIH HHS U01HG007530NIH HHS U01TR002623NIMH NIH HHS R01 MH107205
6 · The paper itself

Abstract

backgroundWhole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes.

resultsWEScover is a novel web application that provides an intuitive user interface for discovering breadth and depth of coverage across population-scale WES datasets, searching either by phenotype, by targeted gene panel(s) or by gene(s). Moreover, the application shows metrics from the Genome Aggregation Database to provide gene-centric view on breadth of coverage.

conclusionsWEScover allows users to efficiently query genes and phenotypes for the coverage of associated exons by WES and recommends use of panel tests for the genes with potential incomplete coverage by WES.

Indexed as

ExomeGenomicsExome SequencingHigh-Throughput Nucleotide SequencingPhenotypeCoverageFalse negativeGene panel testingGenetic testingWhole exome sequencing

Identifiers

PMID34016036
PMCPMC8139020
OpenAlexW3160095075

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.