Predicted Trait | |
Reported Trait | Colorectal cancer |
Mapped Trait(s) | colorectal cancer (MONDO_0005575) |
Score Construction | |
PGS Name | SC_GRS |
Development Method | |
Name | Genome-wide significant variants |
Parameters | Unweighted sum of risk alleles; r2 threshold = 0.8; MAF > 0.05; p-value < 5e-8 in Asian or European population |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 14 |
Effect Weight Type | Unweighted |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000074 |
Citation (link to publication) | Xin J et al. Gene (2018) |
Ancestry Distribution | |
PGS Evaluation | East Asian: 100% 1 Sample Sets |
PGS Performance Metric ID (PPM) |
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 | 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 | 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 | — |