| Predicted Trait | |
| Reported Trait | Colorectal cancer |
| Mapped Trait(s) | colorectal cancer (MONDO_0005575) |
| Score Construction | |
| PGS Name | SCT |
| Development Method | |
| Name | Stacked clumping and thresholding (SCT) |
| Parameters | PRS is fitted from penalised regression, intercept = -4.819681958638675 |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 194,756 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000438 |
| Citation (link to publication) | Briggs SEW et al. BMJ (2022) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 67,878 individuals (100%) |
| Score Development/Training | European: 100% 30,000 individuals (100%) |
| PGS Evaluation | |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST007992 |
[
|
European | NR |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| — | [
|
European (British) |
UKB | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM017108 | PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.417 [1.375, 1.461] | AUROC: 0.702 [0.695, 0.711] | R²: 5.4 [5.0, 5.9] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017114 | PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.378 [1.321, 1.438] | C-index: 0.695 [0.685, 0.706] | R²: 22.3 [20.3, 24.4] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017120 | PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.718 [0.696, 0.739] | R²: 6.4 [5.0, 7.7] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017126 | PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.713 [0.686, 0.74] | R²: 25.1 [20.2, 30.2] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017132 | PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.589 [0.546, 0.626] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017138 | PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.65 [0.596, 0.705] | R²: 17.4 [8.9, 28.1] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS010134 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | Other, NR | Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" | UKB | Cohort for logistic regression model validation (minority ethnic population) |
| PSS010135 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
— | Other, NR | Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" | UKB | Cohort for cox regression model validation (minority ethnic population) |
| PSS010130 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European (British) |
— | UKB | Cohort for logistic regression model testing |
| PSS010131 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European (British) |
— | UKB | Cohort for logistic regression model testing |
| PSS010132 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European | Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" | UKB | Cohort for logistic regression model validation (European populations) |
| PSS010133 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
— | European | Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" | UKB | Cohort for cox regression model validation (European populations) |