Department
Computer Science
Document Type
Article
Publication Title
Bioinformatics
ISSN
1367-4803
Volume
35
Issue
14
DOI
10.1093/bioinformatics/bty999
First Page
2495
Last Page
2497
Publication Date
7-15-2019
Abstract
Summary: Large biobanks linking phenotype to genotype have led to an explosion of genetic association studies across a wide range of phenotypes. Sharing the knowledge generated by these resources with the scientific community remains a challenge due to patient privacy and the vast amount of data. Here, we present Global Biobank Engine (GBE), a web-based tool that enables exploration of the relationship between genotype and phenotype in biobank cohorts, such as the UK Biobank. GBE supports browsing for results from genome-wide association studies, phenome-wide association studies, gene-based tests and genetic correlation between phenotypes. We envision GBE as a platform that facilitates the dissemination of summary statistics from biobanks to the scientific and clinical communities.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
McInnes, G.,
Tanigawa, Y.,
Deboever, C.,
Lavertu, A.,
Olivieri, J. E.,
Aguirre, M.,
&
Rivas, M. A.
(2019).
Global Biobank Engine: Enabling genotype-phenotype browsing for biobank summary statistics.
Bioinformatics, 35(14), 2495–2497.
DOI: 10.1093/bioinformatics/bty999
https://scholarlycommons.pacific.edu/soecs-facarticles/307
