Publication Information (EuropePMC) | |
Title | The added value of genetic information in colorectal cancer risk prediction models: development and evaluation in the UK Biobank prospective cohort study. |
PubMed ID | 30323197(Europe PMC) |
doi | 10.1038/s41416-018-0282-8 |
Publication Date | Oct. 16, 2018 |
Journal | Br J Cancer |
Author(s) | Smith T, Gunter MJ, Tzoulaki I, Muller DC. |
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) |
---|---|---|---|---|---|---|
PGS000149 (CRC41) |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Colorectal cancer | colorectal cancer | 41 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000149/ScoringFiles/PGS000149.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 |
---|---|---|---|---|---|---|---|---|---|
PPM000464 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.68 [0.67, 0.7] | — | Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) | Fully recalibrated model |
PPM000463 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.68 [0.67, 0.7] | — | Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) | Fully recalibrated model |
PPM000459 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.66 [0.62, 0.69] | — | Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) | Fully recalibrated model |
PPM000458 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.69 [0.67, 0.7] | — | Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) | Fully recalibrated model |
PPM000457 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.68 [0.67, 0.7] | — | Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) | Fully recalibrated model |
PPM000465 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.67 [0.63, 0.71] | — | Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) | Fully recalibrated model |
PPM000462 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.57 [0.53, 0.6] | — | — | — |
PPM000461 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.56 [0.55, 0.58] | — | — | — |
PPM000460 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.57 [0.55, 0.58] | — | — | — |
PPM000456 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.55 [0.52, 0.59] | — | — | — |
PPM000455 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.57 [0.55, 0.58] | — | — | — |
PPM000454 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.56 [0.55, 0.58] | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS000262 | Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 | — | [ ,
45.0 % Male samples |
Mean = 57.0 years IQR = [50.0, 63.0] years |
European | — | UKB | Follow-up time = 1,751,445 person years |
PSS000263 | Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 | — | [ ,
46.0 % Male samples |
Mean = 57.0 years IQR = [50.0, 63.0] years |
European | — | UKB | Follow-up time = 1,388,191 person years |