| Publication Information (EuropePMC) | |
| Title | Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors. |
| PubMed ID | 29458155(Europe PMC) |
| doi | 10.1053/j.gastro.2018.02.021 |
| Publication Date | Feb. 17, 2018 |
| Journal | Gastroenterology |
| Author(s) | Jeon J, Du M, Schoen RE, Hoffmeister M, Newcomb PA, Berndt SI, Caan B, Campbell PT, Chan AT, Chang-Claude J, Giles GG, Gong J, Harrison TA, Huyghe JR, Jacobs EJ, Li L, Lin Y, Le Marchand L, Potter JD, Qu C, Bien SA, Zubair N, Macinnis RJ, Buchanan DD, Hopper JL, Cao Y, Nishihara R, Rennert G, Slattery ML, Thomas DC, Woods MO, Prentice RL, Gruber SB, Zheng Y, Brenner H, Hayes RB, White E, Peters U, Hsu L, Colorectal Transdisciplinary Study and Genetics and Epidemiology of Colorectal Cancer Consortium. |
| Polygenic Score (PGS) ID | PGS Name | PGS Publication (PGP) ID | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | PGS Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000148 | CRC63 | PGP000071 Jeon J et al. Gastroenterology (2018) |
Colorectal cancer | colorectal cancer | 63 | http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000148/ScoringFiles/PGS000148.txt.gz |
Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.
|
PGS Performance Metric ID (PPM ID) |
Evaluated Score |
PGS Sample Set ID (PSS ID) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
PGS Classification Metrics | Other Metrics | Covariates Included in the Model | PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000453 | PGS000148 (CRC63) | PSS000260 | PGP000071 Jeon J et al. (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.62[0.61, 0.63] | — | age, family history, study, endoscopy history, E-score (height, body mass index, education, history of type 2 diabetes mellitus, smoking status, alcohol consumption, regular aspirin use, regular NSAIDs use, regular use of post-menopausal hormones, smoking pack-years, dietary factors, total-energy, physical activity) | Risk prediction using Model IV (Family history & E-score & G-score) |
| PPM000450 | PGS000148 (CRC63) | PSS000261 | PGP000071 Jeon J et al. (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59[0.58, 0.6] | — | age, family history, study, endoscopy history | Risk prediction using Model III (Family History & G-score) |
| PPM000451 | PGS000148 (CRC63) | PSS000261 | PGP000071 Jeon J et al. (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.63[0.62, 0.64] | — | age, family history, study, endoscopy history, E-score (height, body mass index, education, history of type 2 diabetes mellitus, smoking status, alcohol consumption, regular aspirin use, regular NSAIDs use, smoking pack-years, dietary factors, total-energy, physical activity) | Risk prediction using Model IV (Family history & E-score & G-score) |
| PPM000452 | PGS000148 (CRC63) | PSS000260 | PGP000071 Jeon J et al. (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59[0.58, 0.6] | — | age, family history, study, endoscopy history | Risk prediction using Model III (Family History & G-score) |
|
PGS Sample Set ID (PSS ID) |
Detailed Phenotype Description | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS000260 | — | — | [ ,
0.0 % Male samples |
Mean (Cases) = 68.8 years Sd (Cases) = 9.7 years |
European | — | 14 cohorts
|
— |
| PSS000261 | — | — | [ ,
100.0 % Male samples |
Mean (Cases) = 67.8 years Sd (Cases) = 9.7 years |
European | — | 14 cohorts
|
— |