scientific-biobank-cohort

Process phenotype dictionaries and GWAS summary statistics for PheWAS analyses.

3|1|Updated Feb 11, 2026

Search Tags:#statistics #dictionary #gwas #cohort #phenotype #phewas #biobank

Ready to run

npx skills add https://github.com/nahisaho/satori --skill scientific-biobank-cohort

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-biobank-cohort
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-biobank-cohort
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-biobank-cohort

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables researchers to efficiently search phenotype dictionaries, process GWAS summary statistics, and perform PheWAS analyses on large biobank cohorts.

Core Features & Use Cases

Phenotype dictionary search across UK Biobank, BBJ, All of Us, and other cohorts
GWAS summary statistics processing and ready-to-visualize outputs
PheWAS (Phenome-Wide Association Study) execution and interpretation support

Quick Start

Load a phenotype dictionary, filter by category, then run a GWAS summary statistics workflow to produce a PheWAS-ready output

Frequently Asked Questions about scientific-biobank-cohort

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I search phenotype dictionaries and run PheWAS analyses across UK Biobank cohorts?▼

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.

What is a PheWAS workflow for biobank phenotype data?▼

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.

Can I use this to process GWAS summary statistics for the All of Us cohort?▼

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.

How do I filter a phenotype dictionary by category before running GWAS statistics?▼

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.

Does the PheWAS workflow support cross-phenotype associations for large biobank cohorts?▼

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.

What are the limitations of processing GWAS summary statistics for biobank cohorts?▼

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.