作者
Gregory McInnes, Yosuke Tanigawa, Christopher DeBoever, Adam Lavertu, Julia Eve Olivieri, Matthew Aguirre, Manuel Rivas
发表日期
2019/7/15
期刊
Bioinformatics
卷号
33
期号
14
页码范围
2495-2497
出版商
Oxford University Press
简介
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.
Availability and implementation
GBE currently hosts data from the UK …
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