scientific-biobank-cohort

You can search phenotype dictionaries and run PheWAS workflows across UK Biobank, BBJ, and All of Us by loading a phenotype dictionary, filtering by category, and processing GWAS summary statistics to produce visualization-ready outputs.

A PheWAS workflow for biobank phenotype data processes GWAS summary statistics to identify cross-phenotype associations, generating searchable resources and visualization-ready outputs while maintaining data provenance and reproducibility.

Yes, you can process GWAS summary statistics for the All of Us cohort. The workflow supports dictionary lookup, statistic handling, and PheWAS orchestration across large biobank cohorts including All of Us.

To filter a phenotype dictionary by category, load the dictionary into the workflow, apply your category filters, and then execute the GWAS summary statistics workflow to produce a PheWAS-ready output.

Yes, the PheWAS workflow supports cross-phenotype associations for large biobank cohorts. It orchestrates cross-phenotype analyses and generates visualization-ready outputs while ensuring data provenance and reproducibility.

The workflow provides basic visualization-ready outputs and handles GWAS summary statistics, but it requires pre-existing phenotype dictionaries and summary statistics to ensure data provenance and reproducibility across cohorts.