Improving lung function predictions for asthma using genetic ancestry.
Official title: Improving Prediction of Asthma-related Outcomes with Genetic Ancestry-informed Lung Function Equations
Funded at University of California, San Francisco · NIH-10893574 · Data updated 2026-11-12
This study is looking to improve how we predict lung function in asthma patients by using genetic background instead of just race or ethnicity, focusing on Black and Hispanic/Latino individuals, to help doctors provide better diagnoses and treatments.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $174,016 |
| NIH project number | 5K23HL169911-02 |
| Project ID | NIH-10893574 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are Black and Hispanic/Latino children aged 0-11 years who have asthma or are at risk for asthma.
✕Less likely to help
Patients outside of the Black and Hispanic/Latino populations or those over the age of 11 may not benefit from this research.
What this research studies
This research aims to enhance the accuracy of lung function predictions for asthma patients by using genetic ancestry instead of traditional race/ethnicity norms. By analyzing data from Black and Hispanic/Latino individuals, the study will evaluate new equations that account for genetic background, which can significantly impact lung function. The goal is to determine if these ancestry-informed equations provide better predictions of asthma-related outcomes, ultimately leading to improved diagnosis and treatment. The research will involve both existing and new patient cohorts to gather comprehensive data.
Why it matters
Potential benefit: If successful, this research could lead to more accurate asthma diagnoses and treatments tailored to individual genetic backgrounds.
How similar studies have gone: Previous research has shown promise in using genetic ancestry to improve health outcomes, suggesting that this approach could be effective.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Witonsky, Jonathan — University of California, San Francisco
- Study coordinator: Witonsky, Jonathan
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.