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PhenoScanner: a database of human genotype-phenotype associations.

Accepted version
Peer-reviewed

Repository DOI


Type

Article

Change log

Authors

Staley, James R 
Kamat, Mihir A 
Ellis, Steve 

Abstract

UNLABELLED: 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. AVAILABILITY AND IMPLEMENTATION: PhenoScanner is available at www.phenoscanner.medschl.cam.ac.uk CONTACT: jrs95@medschl.cam.ac.ukSupplementary information: Supplementary data are available at Bioinformatics online.

Description

Keywords

Databases, Factual, Genetic Association Studies, Genetic Variation, Genotype, Humans, Phenotype, Polymorphism, Single Nucleotide, Software

Journal Title

Bioinformatics

Conference Name

Journal ISSN

1367-4803
1367-4811

Volume Title

Publisher

Oxford University Press (OUP)
Sponsorship
Medical Research Council (MR/L003120/1)
MRC (1646420)
Medical Research Council (G0800270)
European Research Council (268834)
British Heart Foundation (None)
British Heart Foundation (None)
Medical Research Council (MC_UU_00002/7)
Medical Research Council (G0800270/1)
European Commission (279233)
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].