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Principal Investigator
Name
Gil McVean
Degrees
Ph.D.
Institution
Genomics plc
Position Title
Chief Scientific Officer
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1106
Initial CDAS Request Approval
Nov 22, 2022
Title
Investigating polygenic prediction of cancer risk and cancer-related phenotypes
Summary
Genomics plc aims to transform the discovery and development of new medicines using the power of genomics and to bring genomic prevention to healthcare, improving the health of entire populations through the advanced estimation of personal disease risk. Our in-house research engine contains the largest collection of human genotype and phenotype data available, and we are continuously seeking to expand it to help meet our goals.

One area of focus for Genomics plc is the generation of polygenic risk scores (PRSs) to inform personalised treatment and screening pathways across a wide range of diseases, including common cancers.

Our prostate cancer PRS identifies men who are most likely to develop the disease. To optimise the clinical value of the PRS, we would like to use the rich PLCO dataset to assess the relationships between our PRS and PSA level, DRE outcome, cancer stage and Gleason score. We would also like to see whether the PRS is differentially associated with screen-detected or interval cancers. Similarly, we would like to assess whether our ovarian cancer PRS is associated with CA-125 levels.

For colorectal cancer, we would like to use the PLCO dataset to test the association between our colorectal PRS and flexible sigmoidoscopy outcomes, between PRS and the occurrence of polyps of different sizes and histologies, and between PRS and cancer stage.

For all of the above analyses, we would particularly value the opportunity to include more individuals with non-European ancestries in our PRS validation
Aims

Test association between prostate cancer PRS and PSA levels, PSA velocity and DRE outcomes
Test association between prostate cancer PRS and prostate cancer stage and Gleason score.
Test association between colorectal cancer PRS and flexible sigmoidoscopy outcomes.
Test association between colorectal cancer PRS and colorectal cancer stage.
Test association between colorectal cancer PRS and detection of polyps, by size and histology.
Test association between ovarian cancer PRS and CA-125 levels
Test association between ovarian cancer PRS and ovarian cancer stage.
Use PSA data to help train a PRS model for PSA levels.
Use polyp data to help train a PRS model for polyp incidence.
Use cancer stage data to help train new PRS models which are more specific to higher stage prostate, colorectal or ovarian cancer.

Collaborators

Seamus Harrison, Genomics plc
Deborah Thompson, Genomics plc
Jamie Hall, Genomics plc
Jimmy Harrison, Genomics plc
Jamie Floyd, Genomics plc
Ayan Ianniello, Genomics plc
Chris Spencer, Genomics plc
Ed Beard, Genomics plc
Rob Bettles, Genomics plc
Carla Giner Delgado, Genomics plc
Sophie Landon, Genomics plc
Iliana Peneva, Genomics plc
Priyanka Seth, Genomics plc
Mike Weale, Genomics plc
Steven Wilder, Genomics plc
Kai Zeng, Genomics plc
Melisa Chuong, Genomics plc
Rachel Moore, Genomics plc
Vincent Plagnol, Genomics plc
Fernando Aguilera, Genomics plc
Will Tarran, Genomics plc
Daniel Wells, Genomics plc