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

Authors :
Savige, Judy
Ars, Elisabet
Cotton, Richard G.H.
Crockett, David
Dagher, Hayat
Deltas, Constantinos
Ding, Jie
Flinter, Frances
Pont-Kingdon, Genevieve
Smaoui, Nizar
Torra, Roser
Storey, Helen
Source :
Pediatric Nephrology. June, 2014, Vol. 29 Issue 6, p971, 7 p.
Publication Year :
2014

Abstract

X-linked Alport syndrome is a form of progressive renal failure caused by pathogenic variants in the COL4A5 gene. More than 700 variants have been described and a further 400 are estimated to be known to individual laboratories but are unpublished. The major genetic testing laboratories for X-linked Alport syndrome worldwide have established a Web-based database for published and unpublished COL4A5 variants (https://grenada.lumc.nl/ LOVD2/COL4A/home.php?select_db=COL4A5). This conforms with the recommendations of the Human Variome Project: it uses the Leiden Open Variation Database (LOVD) format, describes variants according to the human reference sequence with standardized nomenclature, indicates likely pathogenicity and associated clinical features, and credits the submitting laboratory. The database includes non-pathogenic and recurrent variants, and is linked to another COL4A5 mutation database and relevant bioinformatics sites. Access is free. Increasing the number of COL4A5 variants in the public domain helps patients, diagnostic laboratories, clinicians, and researchers. The database improves the accuracy and efficiency of genetic testing because its variants are already categorized for pathogenicity. The description of further COL4A5 variants and clinical associations will improve our ability to predict phenotype and our understanding of collagen IV biochemistry. The database for X-linked Alport syndrome represents a model for databases in other inherited renal diseases. Keywords Alport syndrome * Gene variant * DNA database * Genetic testing * Inherited renal disease<br />Alport syndrome Alport syndrome is an inherited cause of renal failure that affects at least one in 50,000 individuals [1]. Eighty-five percent of families have X-linked disease (MIM 301050) [2], [...]

Details

Language :
English
ISSN :
0931041X
Volume :
29
Issue :
6
Database :
Gale General OneFile
Journal :
Pediatric Nephrology
Publication Type :
Academic Journal
Accession number :
edsgcl.370755468
Full Text :
https://doi.org/10.1007/s00467-013-2486-8