PhenoScanner: a database of human genotype-phenotype associations
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Authors
Staley, James
Kamat, Mihir
Ellis, Steve
Freitag, Daniel
Young, Robin
Publication Date
2016Journal Title
Bioinformatics
ISSN
1367-4803
Publisher
Oxford University Press
Language
English
Type
Article
Metadata
Show full item recordCitation
Staley, J., Blackshaw, J., Kamat, M., Ellis, S., Surendran, P., Sun, B., Paul, D., et al. (2016). PhenoScanner: a database of human genotype-phenotype associations. Bioinformatics https://www.repository.cam.ac.uk/handle/1810/256005
Abstract
PhenoScanner is a curated database of publicly available results from large-scale genetic association studies. This tool aims to facilitate “phenome scans”, the cross-referencing of genetic variants with many phenotypes, to help aid understanding of disease pathways and biology. The database currently contains over 350 million association results and over 10 million unique genetic variants, mostly single nucleotide polymorphisms. It is accompanied by a web-based tool that queries the database for associations with user-specified variants, providing results according to the same effect and non-effect alleles for each input variant. The tool provides the option of searching for trait associations with proxies of the input variants, calculated using the European samples from 1000 Genomes and Hapmap.
Sponsorship
This work was supported by the UK Medical Research Council [G66840, G0800270], Pfizer [G73632], British Heart Foundation [SP/09/002], UK National Institute for Health Research Cambridge Biomedical Research Centre, European Research Council [268834], and European Commission Framework Programme 7 [HEALTH-F2-2012-279233].
Funder references
MRC (MR/L003120/1)
MRC (1646420)
MRC (G0800270)
European Research Council (268834)
British Heart Foundation (RG/08/014/24067)
British Heart Foundation (RG/13/13/30194)
Identifiers
This record's URL: https://www.repository.cam.ac.uk/handle/1810/256005