Predicted Trait | |
Reported Trait | Colorectal cancer |
Mapped Trait(s) | colorectal cancer (MONDO_0005575) |
Additional Trait Information | PheCode 153 |
Score Construction | |
PGS Name | PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608 |
Development Method | |
Name | Pruning and Thresholding (P+T) |
Parameters | LD Clumping (MAF >= 1%, r^2 <= 0.1) & P<=7e-06 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 27 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000118 |
Citation (link to publication) | Fritsche LG et al. Am J Hum Genet (2020) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST000113 Europe PMC: 17934461 |
1,890 individuals | European | NR |
GWAS Catalog: GCST000168 Europe PMC: 18372901 |
1,983 individuals | European (U.K.) |
NR |
GWAS Catalog: GCST000270 Europe PMC: 19011631 |
3,831 individuals | European | NR |
GWAS Catalog: GCST001787 Europe PMC: 23266556 |
27,809 individuals | European | NR |
GWAS Catalog: GCST002411 Europe PMC: 24737748 |
13,443 individuals | European | NR |
GWAS Catalog: GCST002919 Europe PMC: 25990418 |
17,556 individuals | European | NR |
GWAS Catalog: GCST003017 Europe PMC: 26151821 |
37,955 individuals | European | NR |
GWAS Catalog: GCST004895 Europe PMC: 28960316 |
15,783 individuals | European (Finnish) |
NR |
GWAS Catalog: GCST000053 Europe PMC: 17618284 |
1,890 individuals | 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 |
---|---|---|---|---|---|---|---|---|
Europe PMC: 32991828 |
[
|
European | UKB | PheCode:153; ICD9:154.8; ICD10:C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C19, C20, C21.0, C21.1, C21.8, C26.0, D01.0, D01.1, D01.2, D01.3 | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM001057 | PSS000564| European Ancestry| 24,996 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.279 [1.225, 1.335] β: 0.246 (0.0218) |
AUROC: 0.565 [0.551, 0.577] | Nagelkerke's Pseudo-R²: 0.0111 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 2.1 [1.53, 2.89] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608 |
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 |
---|---|---|---|---|---|---|---|---|
PSS000564 | PheCode:153; ICD9:154.8; ICD10:C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C19, C20, C21.0, C21.1, C21.8, C26.0, D01.0, D01.1, D01.2, D01.3 | — | [
|
— | European | — | UKB | — |