Matthew Bailey
Brigham Young University, UT·Genetics
Cancer is the second leading cause of death in the United States. Large tumor-sequencing efforts such as The Cancer Genome Atlas (TCGA) only include people who already have cancer.
- Fields
Genetics
Computer Science
Public Health & Epidemiology
- Topics
cancer genomics
germline mutations
cancer predisposition
- Grants
- 1 known grant, through Jun 2027
What they work on
- Identify and assess how known cancer predisposition (germline) mutations from curated databases appear in the All of Us whole-genome cohort, and quantify their impact on cancer occurrence.
- Discover computational algorithms and electronic health record features that can predict cancer misdiagnosis among All of Us participants, run by an undergraduate bioinformatics team.
- Integrate The Cancer Genome Atlas and other cancer-genomics repositories with All of Us data to find links between cancer, comorbidities and cancer triggers.
More about the research
They also over-represent certain cancer types, which makes it hard to build models that predict or prevent disease. The All of Us Research Program offers another route. It holds electronic health records (EHR) and genetic data from over 400,000 people recruited regardless of disease, and almost half identify as non-White. Preliminary analysis of billing codes found that 35% of participants in one release have or had reported neoplasms (abnormal growths).
Why it matters
Linking inherited cancer-risk mutations to health records from a large, diverse population could help explain the missing heritability of cancer and reveal related conditions and triggers. Models that flag likely misdiagnosis could help improve how cancer is predicted and diagnosed. Because recruitment emphasized underrepresented groups, findings may apply more broadly than tumor-only datasets.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Liang Chen
University of Southern California, CA·Genetics
Relate NMD's fine-tuning of gene expression to the genes cancer cells depend on, using NMD residual signatures built from DepMap cell line data and tested for predictive power in TCGA tumor samples.
Riyue Bao
University of Pittsburgh, PA·Medicine & Clinical Research
Establish whether tumor-cell p38 MAPK signaling causes non-T cell-inflamed tumors and resistance to checkpoint inhibitors in HPV-negative head and neck squamous cell carcinoma, using patient cohorts and four syngeneic mouse models.
Fanghui Shi
University of South Carolina-Columbia, SC·Public Health & Epidemiology·Early-career
Build computable phenotype algorithms that identify sexually transmitted infection (STI) patterns from electronic health records and survey data in the All of Us research program.
The school
Brigham Young University: 4 labs on PI Pages, $158M a year on research, 114 research doctorates a year.
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