Leveraging whole-exome sequence data from diverse biobanks and cohorts to study rare coding variation in prostate cancer
$7.66M
USD
Funder
NATIONAL CANCER INSTITUTE
Recipient Organization
University of Southern California
Country
United States
Start Date
Sep 20, 2023
End Date
Aug 31, 2028
Duration
1,807 days
Number of Grantees
1
Roles
Principal Investigator
Data Source
NIH (US)
Grant ID
10734712
Grant Description
Abstract
There is strong evidence that prostate cancer (PCa) is a heritable phenotype. In addition to greater risk observed
in men with a family history of PCa, genome-wide association studies (GWAS) have identified over 400 common
independent risk variants, which explain ~40% of the familial risk. It is increasingly recognized that much of the
unknown heritability for PCa may also be due to variants of low minor allele frequency (500,000 controls within biobanks and cohorts in the US and UK and conduct exome-wide
analyses of overall PCa and aggressive disease phenotypes. In Aim 2, we will examine the combined effect of
rare coding variants and a polygenic risk score (PRS) on risk of overall PCa and aggressive disease and estimate
absolute risks for the combined effects of rare coding variants and PRS in prospective biobanks and cohorts
across populations. In Aim 3, we will integrate somatic tumor and germline variation data to inform genes and
biological pathways involved in PCa and aggressive disease. For this Aim, we have assembled a somatic
resource of >7,000 PCa patients with germline exome/PRS data and somatic mutation profiling from WES and
WGS studies, including >2,000 with transcriptomic data. We expect this study to provide the most comprehensive
and well-powered examination of rare coding variation in PCa across populations to date. Findings from this
study will have immediate clinical translation by informing personalized risk prediction and the development of
novel risk-based screening strategies for overall and aggressive PCa. Integrating germline and somatic data will
also define biological mechanisms that may be clinically important for understanding how to treat and prevent
PCa and lethal disease across populations.
All Grantees
University of Southern California
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