PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations

Author:

Kamat Mihir A1,Blackshaw James A1,Young Robin1,Surendran Praveen1,Burgess Stephen12,Danesh John134,Butterworth Adam S14,Staley James R15

Affiliation:

1. MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK

2. MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK

3. Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK

4. NIHR Blood and Transplant Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK

5. MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK

Abstract

Abstract Summary PhenoScanner is a curated database of publicly available results from large-scale genetic association studies in humans. This online tool facilitates ‘phenome scans’, where genetic variants are cross-referenced for association with many phenotypes of different types. Here we present a major update of PhenoScanner (‘PhenoScanner V2’), including over 150 million genetic variants and more than 65 billion associations (compared to 350 million associations in PhenoScanner V1) with diseases and traits, gene expression, metabolite and protein levels, and epigenetic markers. The query options have been extended to include searches by genes, genomic regions and phenotypes, as well as for genetic variants. All variants are positionally annotated using the Variant Effect Predictor and the phenotypes are mapped to Experimental Factor Ontology terms. Linkage disequilibrium statistics from the 1000 Genomes project can be used to search for phenotype associations with proxy variants. Availability and implementation PhenoScanner V2 is available at www.phenoscanner.medschl.cam.ac.uk.

Funder

UK Medical Research Council

British Heart Foundation

Pfizer

European Research Council

European Commission Framework Programme 7

National Institute for Health Research; and Health Data Research UK

NHS

NIHR

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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