@article {41, title = {Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics.}, journal = {Bioinformatics}, volume = {35}, year = {2019}, month = {2019 Jul 15}, pages = {2495-2497}, 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.

}, issn = {1367-4811}, doi = {10.1093/bioinformatics/bty999}, author = {McInnes, Gregory and Tanigawa, Yosuke and DeBoever, Chris and Lavertu, Adam and Olivieri, Julia Eve and Aguirre, Matthew and Rivas, Manuel A} }