| Title: | Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics |
| Journal: | Bioinformatics |
| Published: | 5 Dec 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/30520965/ |
| DOI: | https://doi.org/10.1093/bioinformatics/bty999 |
| URL: | https://academic.oup.com/bioinformatics/article-pdf/35/14/2495/28913295/bty999.pdf |
| Citations: | 92 (14 in last 2 years) as of 8 Aug 2024 |
Publication 7522
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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.7 Authors
- Gregory McInnes
- Yosuke Tanigawa
- Chris DeBoever
- Adam Lavertu
- Julia Eve Olivieri
- Matthew Aguirre
- Manuel A Rivas
1 Application
| Application ID | Title |
|---|---|
| 24983 | Generating effective therapeutic hypotheses from genomic and hospital linkage data |
Enabling scientific discoveries that improve human health