Literature DB >> 25384529

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

Judy Savige1,2, Raymond Dalgleish3, Richard Gh Cotton4, Johan T den Dunnen5, Finlay Macrae6,7, Sue Povey8.   

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.

Entities:  

Keywords:  DNA variant database; Genetic variant; Inherited disease; Pathogenicity; Phenotype

Mesh:

Year:  2014        PMID: 25384529     DOI: 10.1007/s00467-014-2994-1

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  33 in total

1.  Guidelines for human gene nomenclature.

Authors:  Hester M Wain; Elspeth A Bruford; Ruth C Lovering; Michael J Lush; Mathew W Wright; Sue Povey
Journal:  Genomics       Date:  2002-04       Impact factor: 5.736

2.  Guidelines for establishing locus specific databases.

Authors:  Mauno Vihinen; Johan T den Dunnen; Raymond Dalgleish; Richard G H Cotton
Journal:  Hum Mutat       Date:  2011-12-09       Impact factor: 4.878

3.  Accreditation and attribution in data sharing.

Authors:  Gudmundur A Thorisson
Journal:  Nat Biotechnol       Date:  2009-11       Impact factor: 54.908

4.  PKDB: Polycystic Kidney Disease Mutation Database--a gene variant database for autosomal dominant polycystic kidney disease.

Authors:  Alexander M Gout; Neilson C Martin; Alastair F Brown; David Ravine
Journal:  Hum Mutat       Date:  2007-07       Impact factor: 4.878

5.  The Alport syndrome COL4A5 variant database.

Authors:  David K Crockett; Genevieve Pont-Kingdon; Frederick Gedge; Kelli Sumner; Ryan Seamons; Elaine Lyon
Journal:  Hum Mutat       Date:  2010-08       Impact factor: 4.878

6.  Time for a unified system of mutation description and reporting: a review of locus-specific mutation databases.

Authors:  Mireille Claustres; Ourania Horaitis; Marijana Vanevski; Richard G H Cotton
Journal:  Genome Res       Date:  2002-05       Impact factor: 9.043

7.  Functional assessment of variants in the TSC1 and TSC2 genes identified in individuals with Tuberous Sclerosis Complex.

Authors:  Marianne Hoogeveen-Westerveld; Marjolein Wentink; Diana van den Heuvel; Melika Mozaffari; Rosemary Ekong; Sue Povey; Johan T den Dunnen; Kay Metcalfe; Stephanie Vallee; Stefan Krueger; JoAnn Bergoffen; Vandana Shashi; Frances Elmslie; David Kwiatkowski; Julian Sampson; Concha Vidales; Jacinta Dzarir; Javier Garcia-Planells; Kira Dies; Anneke Maat-Kievit; Ans van den Ouweland; Dicky Halley; Mark Nellist
Journal:  Hum Mutat       Date:  2011-03-08       Impact factor: 4.878

8.  The CDKN2A database: Integrating allelic variants with evolution, structure, function, and disease association.

Authors:  Joan A Murphy; Ramiro Barrantes-Reynolds; Rama Kocherlakota; Jeffrey P Bond; Marc S Greenblatt
Journal:  Hum Mutat       Date:  2004-10       Impact factor: 4.878

Review 9.  DNA variant databases improve test accuracy and phenotype prediction in Alport syndrome.

Authors:  Judy Savige; Elisabet Ars; Richard G H Cotton; David Crockett; Hayat Dagher; Constantinos Deltas; Jie Ding; Frances Flinter; Genevieve Pont-Kingdon; Nizar Smaoui; Roser Torra; Helen Storey
Journal:  Pediatr Nephrol       Date:  2013-05-30       Impact factor: 3.714

Review 10.  Genetic kidney diseases.

Authors:  Friedhelm Hildebrandt
Journal:  Lancet       Date:  2010-04-10       Impact factor: 79.321

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  1 in total

Review 1.  Expert consensus guidelines for the genetic diagnosis of Alport syndrome.

Authors:  Judy Savige; Francesca Ariani; Francesca Mari; Mirella Bruttini; Alessandra Renieri; Oliver Gross; Constantinos Deltas; Frances Flinter; Jie Ding; Daniel P Gale; Mato Nagel; Michael Yau; Lev Shagam; Roser Torra; Elisabet Ars; Julia Hoefele; Guido Garosi; Helen Storey
Journal:  Pediatr Nephrol       Date:  2018-07-09       Impact factor: 3.714

  1 in total

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