Predicted Trait | |
Reported Trait | Colorectal cancer |
Mapped Trait(s) | colorectal cancer (MONDO_0005575) |
Score Construction | |
PGS Name | LDPred2-grid-sp |
Development Method | |
Name | LDpred2 |
Parameters | proportion of causal variants 0.01; heritability 0.1602; sparsity 0.44137 |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 616,956 |
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 |
---|---|---|---|---|---|---|---|---|
PPM017107 | PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.571 [1.524, 1.62] | AUROC: 0.716 [0.71, 0.723] | R²: 6.2 [5.8, 6.7] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
PPM017119 | PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.733 [0.71, 0.753] | R²: 7.6 [6.1, 8.9] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
PPM017125 | PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.725 [0.696, 0.752] | R²: 28.5 [23.4, 33.7] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
PPM017131 | PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.601 [0.559, 0.64] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
PPM017137 | PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.664 [0.609, 0.718] | R²: 20.2 [11.4, 30.7] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
PPM017141 | PSS010129| Multi-ancestry (excluding European)| 196,091 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer in men | — | C-index: 0.73 [0.72, 0.741] | R²: 28.2 [26.3, 30.1] For top 20% absolute risk sensitivity: 47.8 % specificty: 80.3 % |
QCancer-10 score | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
PPM017142 | PSS010128| Multi-ancestry (excluding European)| 238,496 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer in females | — | C-index: 0.687 [0.673, 0.702] | R²: 21.0 [18.7, 23.7] For top 20% absolute risk sensitivity: 42.7 % specificty: 80.1 % |
QCancer-10 score | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
PPM017113 | PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.545 [1.48, 1.612] | C-index: 0.712 [0.702, 0.723] | R²: 25.3 [23.4, 27.3] | 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 |
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) |
PSS010128 | 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 | [
|
Median = 57.0 years | Other, NR | All ancestral backgrounds within UKB | UKB | Cohort for integrated model development in women |
PSS010129 | 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 | [
|
Median = 58.0 years | Other, NR | All ancestral backgrounds within UKB | UKB | Cohort for integrated model development in men |
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) |