Evidence map›Paper›PMID 25684268›Full record

ArticleHuman mutation2015

New tools for Mendelian disease gene identification: PhenoDB variant analysis module; and GeneMatcher, a web-based tool for linking investigators with an interest in the same gene.

Nara Sobreira, François Schiettecatte, Corinne Boehm, David Valle, Ada Hamosh

Abstract read
In one paragraph

Article in Human mutation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
–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

119 citing papers in PubMed.

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  16. Rare exonicFrontiers in genetics · 2024
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  20. X-linked variations inJournal of medical genetics · 2023
    Article

59 more citing papers are in PubMed but not listed here.

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

5 authors.

Nara SobreiraMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21205.
François Schiettecatte
Corinne Boehm
David Valle
Ada Hamosh

Funding

Baylor-Johns Hopkins Center for Mendelian GeneticsU54HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2012 to 2015
$15.6M
NHGRI NIH HHS 1U54HG006542NHGRI NIH HHS U54 HG006542
6 · The paper itself

Abstract

Identifying the causative variant from among the thousands identified by whole-exome sequencing or whole-genome sequencing is a formidable challenge. To make this process as efficient and flexible as possible, we have developed a Variant Analysis Module coupled to our previously described Web-based phenotype intake tool, PhenoDB (http://researchphenodb.net and http://phenodb.org). When a small number of candidate-causative variants have been identified in a study of a particular patient or family, a second, more difficult challenge becomes proof of causality for any given variant. One approach to this problem is to find other cases with a similar phenotype and mutations in the same candidate gene. Alternatively, it may be possible to develop biological evidence for causality, an approach that is assisted by making connections to basic scientists studying the gene of interest, often in the setting of a model organism. Both of these strategies benefit from an open access, online site where individual clinicians and investigators could post genes of interest. To this end, we developed GeneMatcher (http://genematcher.org), a freely accessible Website that enables connections between clinicians and researchers across the world who share an interest in the same gene(s).

Indexed as

Databases, GeneticSoftwareComputational BiologyGenetic Association StudiesGenetic Diseases, InbornGenetic VariationGenomicsInternetPhenotypeWeb BrowserMendelian diseasemutationnext-generation sequencingwhole-exome sequencingwhole-genome sequencing

Identifiers

PMID25684268
PMCPMC4820250

What OpenQuestion holds

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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.