Evidence map›Paper›PMID 25384529›Full record

ReviewPediatric nephrology (Berlin, Germany)2015

The Human Variome Project: ensuring the quality of DNA variant databases in inherited renal disease.

Judy Savige, Raymond Dalgleish, Richard Gh Cotton, Johan T den Dunnen, Finlay Macrae, Sue Povey

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric nephrology (Berlin, Germany), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 5 institutions in 3 countries.

Judy SavigeThe University of Melbourne, Melbourne Health, Melbourne, Australia. jasavige@unimelb.edu.au.
Raymond DalgleishDepartment of Genetics, University of Leicester, Leicester, UK.
Richard Gh CottonHuman Variome Project, The University of Melbourne, Melbourne, Australia.
Johan T den DunnenHuman and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Finlay MacraeThe University of Melbourne, Melbourne Health, Melbourne, Australia.
Sue PoveyResearch Department of Genetics, Evolution and Environment, University College London, London, UK.
University of Melbourne · AULeiden University Medical Center · NLThe Royal Melbourne Hospital · AUUniversity College London · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent review identified 60 common inherited renal diseases caused by DNA variants in 132 different genes. These diseases can be diagnosed with DNA sequencing, but each gene probably also has a thousand normal variants. Many more normal variants have been characterised by individual laboratories than are reported in the literature or found in publicly accessible collections. At present, testing laboratories must assess each novel change they identify for pathogenicity, even when this has been done elsewhere previously, and the distinction between normal and disease-associated variants is particularly an issue with the recent surge in exomic sequencing and gene discovery projects. The Human Variome Project recommends the establishment of gene-specific DNA variant databases to facilitate the sharing of DNA variants and decisions about likely disease causation. Databases improve diagnostic accuracy and testing efficiency, and reduce costs. They also help with genotype-phenotype correlations and predictive algorithms. The Human Variome Project advocates databases that use standardised descriptions, are up-to-date, include clinical information and are freely available. Currently, the genes affected in the most common inherited renal diseases correspond to 350 different variant databases, many of which are incomplete or have insufficient clinical details for genotype-phenotype correlations. Assistance is needed from nephrologists to maximise the usefulness of these databases for the diagnosis and management of inherited renal disease.

Indexed as

Databases, Nucleic AcidGenetic Predisposition to DiseaseHumansKidney DiseasesMutationDNA variant databaseGenetic variantInherited diseasePathogenicityPhenotype

Identifiers

PMID25384529
OpenAlexW2078862002

What OpenQuestion holds

Textmetadata
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.