Integrating Genomics and Metabolomics to Develop Predictive Models of Prostate Cancer in Multiethnic Men

Abbreviated Name
Darst-Broad DNA Sequencing
Lead Investigator
Darst, Barcu — Fred Hutch Cancer Center
Coordinating Investigator
Lin UW, Daniel W. — University of Washington
Involved Investigators

Abstract

No abstract availalbe.

Aims

AIM 1. Identify metabolites causally associated with PCa across multi-ancestry populations. AIM 2. Integrate genomics and metabolomics to investigate mechanisms impacted by genetic risk of prostate cancer and identify subgroups of individuals at high risk of prostate cancer. AIM 3. Determine whether rare and common genetic variation contributes to risk of PCa progression.

Analytic Method

No analytic method available.

Publications

  • No publications available at this time for this protocol.

Biomarkers

  • No biomarkers available at this time for this protocol.

Data Collections

  • No data collections available at this time for this protocol.
Start Date
May 5 2025
Protocol ID
574
Protocol Type
Collaboration
Fields of Research
  • Genomics
Collaborative Group
Prostate and Urologic Cancers Research Group
Cancer Types
  • Malignant neoplasm of prostate

Associated Forms