Publication Information (EuropePMC) | |
Title | Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. |
PubMed ID | 34525106(Europe PMC) |
doi | 10.1371/journal.pone.0251469 |
Publication Date | Sept. 15, 2021 |
Journal | PLoS One |
Author(s) | Gafni A, Dite GS, Spaeth Tuff E, Allman R, Hopper JL. |
Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS001776 (PRS45_CC) |
PGP000256 | Gafni A et al. PLoS One (2021) |
Colorectal cancer | colorectal cancer | 45 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001776/ScoringFiles/PGS001776.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|---|
PPM009239 | PGS001776 (PRS45_CC) |
PSS007664| European Ancestry| 403,998 individuals |
PGP000256 | Gafni A et al. PLoS One (2021) |
Reported Trait: Full lifetime risk of colorectal cancer | β: 1.848 | AUROC: 0.673 [0.664, 0.682] | — | Family history | — |
PPM009240 | PGS001776 (PRS45_CC) |
PSS007664| European Ancestry| 403,998 individuals |
PGP000256 | Gafni A et al. PLoS One (2021) |
Reported Trait: 10-year risk of colorectal cancer | β: 1.088 | AUROC: 0.674 [0.665, 0.683] | — | Family history | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
PSS007664 | Cases were individuals with (incident) invasive colorectal cancer diagnosed after a baseline assessment. Colorectal cancer was identified using linkedc cancer registry data using ICD-9 (1530–1539, 1540–1541), ICD-10 (C18–C20) codes or self-reported disease). | — | [ ,
45.85 % Male samples |
— | European | — | UKB | — |