Predicted Trait | |
Reported Trait | Cervical cancer |
Mapped Trait(s) | cervical carcinoma (EFO_0001061) |
Score Construction | |
PGS Name | best_CESC |
Development Method | |
Name | lassosum |
Parameters | s = 0.9, lambda = 0.00695193 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 2,814 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000413 |
Citation (link to publication) | Namba S et al. Cancer Res (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 9,347 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST004833 Europe PMC: 28806749 |
9,347 individuals | 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 |
---|---|---|---|---|---|---|---|---|
PPM016264 | PSS010075| European Ancestry| 144,374 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: cervical cancer | — | AUROC: 0.563 | R²: 0.00158 | age, top 20 genetic 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 |
---|---|---|---|---|---|---|---|---|
PSS010075 | C53 | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |