| Publication Information (EuropePMC) | |
| Title | Evaluating the effect of multiple genetic risk score models on colorectal cancer risk prediction. | 
| PubMed ID | 29908285(Europe PMC) | 
| doi | 10.1016/j.gene.2018.06.035 | 
| Publication Date | June 14, 2018 | 
| Journal | Gene | 
| Author(s) | Xin J, Chu H, Ben S, Ge Y, Shao W, Zhao Y, Wei Y, Ma G, Li S, Gu D, Zhang Z, Du M, Wang M. | 
| 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) | 
|---|---|---|---|---|---|---|
| PGS000151 (SC_GRS) | PGP000074 | Xin J et al. Gene (2018) | Colorectal cancer | colorectal cancer | 14 | - - | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000151/ScoringFiles/PGS000151.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 | 
|---|---|---|---|---|---|---|---|---|---|
| PPM000471 | PGS000151 (SC_GRS) | PSS000271| East Asian Ancestry| 3,523 individuals | PGP000074 | Xin J et al. Gene (2018) | Reported Trait: Colorectal cancer | — | AUROC: 0.607 [0.581, 0.633] | — | smoking status | — | 
| PPM000470 | PGS000151 (SC_GRS) | PSS000271| East Asian Ancestry| 3,523 individuals | PGP000074 | Xin J et al. Gene (2018) | Reported Trait: Colorectal cancer | — | AUROC: 0.6 [0.579, 0.622] | — | — | — | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS000271 | — | — | [, 
 40.85 % Male samples | Mean (Cases) = 58.34 years Sd (Cases) = 12.85 years | East Asian (Han Chinese) | — | NCRCC | — |