ArticleBioinformatics (Oxford, England)2019
Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- ERICH3: vesicular association and antidepressant treatment response.Molecular psychiatry · 2021Pooled it
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- Deciphering epistatic genetic regulation of cardiac hypertrophy.medRxiv : the preprint server for health sciences · 2025Article
- Efficient storage and regression computation for population-scale genome sequencing studies.Bioinformatics (Oxford, England) · 2025Article
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- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Contribution of infectious diseases to the selection of ADH1B and ALDH2 gene variants in Asian populations.Alcohol, clinical & experimental research · 2024Article
- Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK Biobank.bioRxiv : the preprint server for biology · 2024Article
- Prospective study design and data analysis in UK Biobank.Science translational medicine · 2024Review
- Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024Article
- Epistasis regulates genetic control of cardiac hypertrophy.Research square · 2023Article
- Power of inclusion: Enhancing polygenic prediction with admixed individuals.American journal of human genetics · 2023Article
- Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations.bioRxiv : the preprint server for biology · 2023Article
- MHC-II dynamics are maintained in HLA-DR allotypes to ensure catalyzed peptide exchange.Nature chemical biology · 2023Article
- SLCO5A1 and synaptic assembly genes contribute to impulsivity in juvenile myoclonic epilepsy.NPJ genomic medicine · 2023Article
- Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study.BMC medicine · 2023Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
summaryLarge 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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.