Tools & Data

Explore polygenic risk score evaluations, research software, practical guides, and archived PRSweb releases.

Featured resource

Public collection

PRSweb Research Portals

Compare published polygenic risk scores evaluated in the Michigan Genomics Initiative (MGI) and UK Biobank, and explore phenome-wide associations and downloadable files.

Useful for: finding traits across portals, comparing scores, examining performance and phenome-wide results, and downloading release files.

The PRSweb landing page with Fritsche Lab branding, cross-portal trait search, and links to Skin Cancer PRSweb, Cancer PRSweb, and ExPRSweb.
The updated PRSweb landing page, captured September 9, 2026.

Archived PRSweb releases

These portals preserve the versions described in their papers. Their score files, mappings, and results remain available to help researchers reproduce or extend the published analyses.

Polygenic risk archive

Cancer PRSweb

The archived June 2020 release reports evaluations of cancer polygenic risk scores in the Michigan Genomics Initiative (MGI) and UK Biobank.

More than 305 filtered scores across more than 39 retained traits.

Polygenic risk archive

ExPRSweb

The archived November 2021 release reports evaluations of polygenic risk scores for common health-related exposures.

More than 336 filtered scores across more than 28 retained traits.

Polygenic risk archive

Skin Cancer PRSweb

The original June 2019 release evaluates 20 polygenic risk scores for melanoma, basal cell carcinoma, squamous cell carcinoma, and overall skin cancer.

Twenty scores across four traits in the June 2019 release.

Open tools and guides

PheWAS software

phewasFlow

An R package for reproducible phenome-wide association studies in both directions, with local and cluster workflows, multiple-testing correction, and Manhattan and volcano plots.

Research computing guide

Fritsche Lab SLURM Playbook

The SLURM Playbook covers submitting and monitoring CPU jobs and job arrays on U-M clusters, diagnosing failures, and rerunning only failed tasks.

Practical GenAI guides

Start with the coding workflow in Part 1, then put it into practice with a coding agent in Part 2. Use the guides for individual learning or a lab session.

Practical GenAI · Part 1

Teaching guide

Practical GenAI Coding Guide

An eight-step workflow for AI-assisted research code, covering planning, prompting, review, testing, version control, and documentation.

Practical GenAI · Part 2

Teaching guide

Practical GenAI Agentic Coding Guide

Six lessons for working with coding agents in a runnable research repository, from a task brief through implementation, testing, review, and handoff.

Includes a synthetic Python project and a 45-minute lab workshop.