Mutation databases for inherited renal disease: are they complete, accurate, clinically relevant, and freely available?

Hum Mutat. 2014 Jul;35(7):791-3. doi: 10.1002/humu.22588. Epub 2014 Jun 3.

Abstract

This study examined whether gene-specific DNA variant databases for inherited diseases of the kidney fulfilled the Human Variome Project recommendations of being complete, accurate, clinically relevant and freely available. A recent review identified 60 inherited renal diseases caused by mutations in 132 genes. The disease name, MIM number, gene name, together with "mutation" or "database," were used to identify web-based databases. Fifty-nine diseases (98%) due to mutations in 128 genes had a variant database. Altogether there were 349 databases (a median of 3 per gene, range 0-6), but no gene had two databases with the same number of variants, and 165 (50%) databases included fewer than 10 variants. About half the databases (180, 54%) had been updated in the previous year. Few (77, 23%) were curated by "experts" but these included nine of the 11 with the most variants. Even fewer databases (41, 12%) included clinical features apart from the name of the associated disease. Most (223, 67%) could be accessed without charge, including those for 50 genes (40%) with the maximum number of variants. Future efforts should focus on encouraging experts to collaborate on a single database for each gene affected in inherited renal disease, including both unpublished variants, and clinical phenotypes.

Keywords: Alport syndrome; DNA variants; inherited kidney disease; mutation databases; polycystic kidney disease; tuberous sclerosis.

MeSH terms

  • Databases, Genetic*
  • Genetic Diseases, Inborn / genetics*
  • Humans
  • Internet
  • Kidney Diseases / genetics*
  • Mutation*
  • Web Browser