|Title||Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics.|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Authors||McInnes, G, Tanigawa, Y, DeBoever, C, Lavertu, A, Olivieri, JEve, Aguirre, M, Rivas, MA|
|Date Published||2018 Dec 05|
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.
|PubMed Central ID||PMC6612820|
|Grant List||MC_QA137853 / / Medical Research Council / United Kingdom |
U01 HG009080 / HG / NHGRI NIH HHS / United States