Fritsche Lab Fritsche Lab

Research

We study whether findings from genomic, clinical, and patient-reported data are consistent across populations and health systems.

A result can look convincing in one dataset but fail to replicate in another. Across our four programs, we develop methods, compare results across datasets, and publish resources to help explain those differences.

Our biobank research uses the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and the NIH All of Us Research Program (All of Us).

Research programs

The same variant weights and summation rule repeated for the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us Research Program (AoU). The same variant weights and summation rule repeated for the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us Research Program (AoU).

Polygenic risk

Evaluating Polygenic Risk Scores at Scale

We test published risk scores in large biobanks and release the results, methods, mappings, and score files.

  • Polygenic risk scores
  • Biobank evaluation
  • Reproducibility
Conceptual linkage of genomic data with health records over time. Conceptual linkage of genomic data with health records over time.

Biobanks

Biobanks Linked to Electronic Health Records

We link genomic data with health records collected over time to study disease patterns, treatment, and outcomes.

  • Electronic health records
  • Michigan Genomics Initiative
  • UK Biobank
  • All of Us
Genetic data, clinical history, and patient reports as complementary sources of information. Genetic data, clinical history, and patient reports as complementary sources of information.

Mental health

Precision Mental Health

We study mental health treatment response using genetic, clinical, and patient-reported data.

  • COMPASS
  • Treatment response
  • Patient-reported outcomes
Conceptual nociceptive, neuropathic, and nociplastic pain mechanisms that can coexist, with nociplastic processing highlighted. Conceptual nociceptive, neuropathic, and nociplastic pain mechanisms that can coexist, with nociplastic processing highlighted.

Pain research

Nociplastic Pain: Phenotyping and Genetics

We study nociplastic pain and overlapping chronic pain conditions using patient-reported information, health records, and statistical genetics.

  • Nociplastic pain
  • Pain phenotyping
  • Overlapping pain conditions
  • Pain genetics

Collaborative work

Current work includes the PRSweb resource, the COMPASS precision mental health study, and the U-M HEAL PAIN T90/R90 training program.

Precision mental health

Active

COMPASS

COMPASS studies how genetic, clinical, and patient-reported information relates to mental health treatment response. Its full name is Comprehensive Mobile Precision Approach for Scalable Solutions in Mental Health Treatment.

Amy Bohnert (contact), Srijan Sen, and Lars Fritsche are the principal investigators. Lars leads the genetics and EHR data work, including polygenic scores, pharmacogenetics, and analyses of diagnoses and medication histories.

National Institute of Mental Health · U01 · U01MH136025 · 2024-present

Pain research training

Active

U-M HEAL PAIN Cohort Program

The U-M HEAL PAIN T90/R90 Cohort Program provides research training and mentoring for early-career chronic pain researchers.

Daniel Clauw, Kelley McLain Kidwell, and Jenna Wiens are the principal investigators.

NIH HEAL Initiative · T90/R90 · T90DE034663 / R90DE034698 · 2024-2029 for T90/R90

Public research resource

Current collection with archived releases

PRSweb Research Portals

PRSweb provides polygenic risk score evaluations, phenome-wide association results, and downloadable score files.