Understanding how gene changes affect human traits using advanced data analysis
Official title: Statistical Methods for Inferring Gene-Phenotype Associations Using Omic Data from Gene Knockout and Human Phenotype Studies
Funded at Fred Hutchinson Cancer Center · NIH-10933499 · Data updated 2026-11-12
This study is looking at how changes in our genes can affect our bodies and health, and it aims to help us understand more about genetic influences on diseases, which could lead to new treatments for patients.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fred Hutchinson Cancer Center NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | September 22, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $551,900 |
| NIH project number | 5U01HG013177-02 |
| Project ID | NIH-10933499 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with genetic disorders or those interested in the genetic basis of their health conditions.
✕Less likely to help
Patients without genetic disorders or those not interested in genetic research may not receive direct benefits from this research.
What this research studies
This research investigates the relationship between gene changes and human traits by creating a detailed catalog of how specific gene knockouts affect cellular functions. Using advanced computational methods, the study aims to analyze data from various cellular systems that model early human development. By integrating multi-omic data, the researchers will develop a dynamic model to predict the effects of gene alterations, which could help identify potential targets for future studies and therapies. Patients may benefit from insights gained about genetic influences on diseases and disorders.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding of genetic contributions to diseases, potentially guiding more effective treatments.
How similar studies have gone: Other research has shown success in using similar computational approaches to understand gene-phenotype relationships, indicating a promising avenue for further exploration.
Where this research is happening
-
Fred Hutchinson Cancer Center
Seattle, United States Active
Researchers
- Principal investigator: Sun, Wei — Fred Hutchinson Cancer Center
- Study coordinator: Sun, Wei
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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.