Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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

View ORCID ProfileGregory McInnes, View ORCID ProfileYosuke Tanigawa, View ORCID ProfileChris DeBoever, Adam Lavertu, Julia Eve Olivieri, Matthew Aguirre, View ORCID ProfileManuel Rivas
doi: https://doi.org/10.1101/304188
Gregory McInnes
1Biomedical Informatics Training Program, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Gregory McInnes
Yosuke Tanigawa
1Biomedical Informatics Training Program, Stanford University
2Department of Biomedical Data Science, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yosuke Tanigawa
Chris DeBoever
2Department of Biomedical Data Science, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chris DeBoever
Adam Lavertu
1Biomedical Informatics Training Program, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julia Eve Olivieri
3Institute for Computational and Mathematical Engineering, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew Aguirre
2Department of Biomedical Data Science, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manuel Rivas
2Department of Biomedical Data Science, Stanford University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Manuel Rivas
  • For correspondence: mrivas@stanford.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

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 the exploration of the relationship between genotype and phenotype in large 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. GBE currently hosts data from the UK Biobank and can be found freely available at biobankengine.stanford.edu.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted April 22, 2018.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics
Gregory McInnes, Yosuke Tanigawa, Chris DeBoever, Adam Lavertu, Julia Eve Olivieri, Matthew Aguirre, Manuel Rivas
bioRxiv 304188; doi: https://doi.org/10.1101/304188
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics
Gregory McInnes, Yosuke Tanigawa, Chris DeBoever, Adam Lavertu, Julia Eve Olivieri, Matthew Aguirre, Manuel Rivas
bioRxiv 304188; doi: https://doi.org/10.1101/304188

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3571)
  • Biochemistry (7514)
  • Bioengineering (5473)
  • Bioinformatics (20664)
  • Biophysics (10250)
  • Cancer Biology (7925)
  • Cell Biology (11563)
  • Clinical Trials (138)
  • Developmental Biology (6558)
  • Ecology (10129)
  • Epidemiology (2065)
  • Evolutionary Biology (13526)
  • Genetics (9493)
  • Genomics (12784)
  • Immunology (7869)
  • Microbiology (19429)
  • Molecular Biology (7609)
  • Neuroscience (41854)
  • Paleontology (306)
  • Pathology (1252)
  • Pharmacology and Toxicology (2178)
  • Physiology (3247)
  • Plant Biology (6993)
  • Scientific Communication and Education (1290)
  • Synthetic Biology (1941)
  • Systems Biology (5404)
  • Zoology (1107)