Predicted Trait | |
Reported Trait | Colorectal cancer |
Mapped Trait(s) | colorectal cancer (MONDO_0005575) |
Score Construction | |
PGS Name | PRScsx_CRC |
Development Method | |
Name | PRS-CSx |
Parameters | PRS-CSx with --auto and --meta options |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,145,689 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000414 |
Citation (link to publication) | Xin J et al. Genome Med (2023) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | East Asian: 65.6% European: 34.4% 324,079 individuals (100%) |
PGS Evaluation | European: 66.7% East Asian: 33.3% 3 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
Europe PMC: 30859566 |
[
|
East Asian (Chinese) |
NR |
GWAS Catalog: GCST90013697 Europe PMC: 32514122 |
202,807 individuals | East Asian | NR |
GWAS Catalog: GCST001787 |
[
|
European | NR |
Europe PMC: 26238115 |
[
|
European | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM016277 | PSS010093| East Asian Ancestry| 2,179 individuals |
PGP000414 | Xin J et al. Genome Med (2023) |
Reported Trait: Incident colorectal cancer | OR: 1.73 [1.56, 1.91] | AUROC: 0.646 | — | sex, age and principal components | — |
PPM016278 | PSS010092| European Ancestry| 2,573 individuals |
PGP000414 | Xin J et al. Genome Med (2023) |
Reported Trait: Incident colorectal cancer | OR: 1.48 [1.36, 1.62] | AUROC: 0.608 | — | sex, age and principal components | — |
PPM016279 | PSS010094| European Ancestry| 355,543 individuals |
PGP000414 | Xin J et al. Genome Med (2023) |
Reported Trait: Incident colorectal cancer | HR: 1.42 [1.37, 1.48] | AUROC: 0.597 | — | sex, age, center and principal components | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS010092 | — | — | [
|
— | European | — | CORSA | — |
PSS010093 | — | — | [
|
— | East Asian (Chinese) |
— | NR | JSCRC |
PSS010094 | — | — | 355,543 individuals | — | European | — | UKB | — |