Combining genetic and molecular data to better understand cancer
Statistical Methods for Integrative Genomics in Cancer
Researchers are building new statistical tools to combine many kinds of genetic and molecular data to help people with cancer.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Southern California NIH-funded |
| Lab location | 1 site (Los Angeles, UNITED STATES) |
| Project ID | NIH-11192238 on NIH RePORTER |
What this research studies
This program brings together several projects to create new statistical methods for combining multiple types of molecular data (like DNA, gene activity, and other 'omics') from cancer patients. Teams will develop tools for selecting important molecular features, finding pathways that mediate risk, and detecting gene-by-environment interactions, with extensions to longitudinal and survival outcomes. The work uses large human datasets, including genetic summary results and repeated molecular measures, and shared laboratory and computing cores coordinate the effort. If you join a related study you might be asked to share medical records, tumor or blood samples, or existing genetic data, although this program mainly develops analysis methods.
Who could benefit from this research
Good fit: Ideal participants are people with cancer who can share tumor or blood samples, genetic data, and clinical information or who are enrolled in studies that collect these materials.
Not a fit: People without cancer or those unwilling to share samples or clinical data are unlikely to receive direct benefit from this methods-focused program.
Why it matters
Potential benefit: If successful, these methods could improve prediction of cancer risk, prognosis, and treatment response by combining multiple molecular data types.
How similar studies have performed: Previous integrative genomics efforts have found useful cancer biomarkers and risk signals, but this program aims to create novel, more powerful statistical approaches.
Where this research is happening
Los Angeles, UNITED STATES
- University of Southern California — Los Angeles, United States (Active)
Researchers
- Principal investigator: Gauderman, William James — University of Southern California
- Study coordinator: Gauderman, William James
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 below.