ArticleNucleic acids research2014
Developments in FINDbase worldwide database for clinically relevant genomic variation allele frequencies.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed.
- The 24th annual Nucleic Acids Research database issue: a look back and upcoming changes.Nucleic acids research · 2017Article
- Expanded national database collection and data coverage in the FINDbase worldwide database for clinically relevant genomic variation allele frequencies.Nucleic acids research · 2017Article
- Article
- A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics.PloS one · 2016Article
- Human genotype-phenotype databases: aims, challenges and opportunities.Nature reviews. Genetics · 2015Review
- A pan-cancer analysis of prognostic genes.PeerJ · 2015Article
- Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels.Genome medicine · 2015Article
- Article
- Genomics into Healthcare: the 5th Pan Arab Human Genetics Conference and 2013 Golden Helix Symposium.Human mutation · 2014Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
FINDbase (http://www.findbase.org) aims to document frequencies of clinically relevant genomic variations, namely causative mutations and pharmacogenomic markers, worldwide. Each database record includes the population, ethnic group or geographical region, the disorder name and the related gene, accompanied by links to any related databases and the genetic variation together with its frequency in that population. Here, we report, in addition to the regular data content updates, significant developments in FINDbase, related to data visualization and querying, data submission, interrelation with other resources and a new module for genetic disease summaries. In particular, (i) we have developed new data visualization tools that facilitate data querying and comparison among different populations, (ii) we have generated a new FINDbase module, built around Microsoft's PivotViewer (http://www.getpivot.com) software, based on Microsoft Silverlight technology (http://www.silverlight.net), that includes 259 genetic disease summaries from five populations, systematically collected from the literature representing the documented genetic makeup of these populations and (iii) the implementation of a generic data submission tool for every module currently available in FINDbase.
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