Why some genetic stop signals cause problems and others don't

Understanding the variability in nonsense-mediated RNA decay

NIH-funded research University of Colorado Denver · NIH-11269217

Researchers are finding why some 'stop' mutations in genes get removed by cells while others lead to disease, to give clearer answers to people with inherited genetic conditions.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionUniversity of Colorado Denver NIH-funded
Lab location1 site (Aurora, UNITED STATES)
Project IDNIH-11269217 on NIH RePORTER

What this research studies

If I or a family member has a genetic test that shows a premature stop (nonsense) mutation, this project wants to explain why some of those mutations cause disease and others do not. The team uses large-scale lab tests that insert many different sequence changes into cells and uses precise gene editing to see which changes trigger the cell’s quality-control system (nonsense-mediated decay) and which escape it. They study how these effects differ across genes, tissues, and people so the results reflect real human variation. The goal is to create clear rules that genetic testing labs can use to classify stop mutations more accurately.

Who could benefit from this research

Good fit: People with inherited genetic disorders, especially those with nonsense (stop) mutations or variants of uncertain significance on their genetic test reports, would be most relevant.

Not a fit: Patients with conditions not caused by gene-truncating mutations or those needing immediate treatment rather than improved genetic interpretation are unlikely to gain direct clinical benefit from this work.

Why it matters

Potential benefit: Could make genetic test results clearer by predicting which stop mutations actually disrupt gene function, improving diagnosis and care planning.

How similar studies have performed: Prior laboratory studies have shown that NMD efficiency can vary and identified some escape mechanisms, but a systematic, large-scale effort to build predictive rules is relatively new.

Where this research is happening

Aurora, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions DiseaseDisorderGenetic Diseases
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.