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Bioinformatics. 2019 Jul 15;35(14):2495-2497. doi: 10.1093/bioinformatics/bty999.

Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics.

Author information

1
Biomedical Informatics Training Program, Stanford University, CA, USA.
2
Department of Biomedical Data Science, Stanford University, CA, USA.
3
Institute for Computational and Mathematical Engineering, Stanford University, CA, USA.

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.

AVAILABILITY AND IMPLEMENTATION:

GBE currently hosts data from the UK Biobank and can be found freely available at biobankengine.stanford.edu.

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