| Predicted Trait | |
| Reported Trait | Cervical cancer and dysplasia |
| Mapped Trait(s) | cervical cancer (MONDO_0002974) |
| Score Construction | |
| PGS Name | TPMI_180_LDpred2 |
| Development Method | |
| Name | LDpred2 |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh38 |
| Number of Variants | 939,805 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000835 |
| Citation (link to publication) | Chen HH et al. Nature (2025) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | [ ,
0.0 % Male samples |
East Asian (Han Chinese) |
TPMI |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | [ ,
0.0 % Male samples |
East Asian (Han Chinese) |
TPMI | 180.0, 180.1, 180.8, 180.9, V10.41,C53 | — | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM036723 | PSS012452| East Asian Ancestry| 8,290 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cervical cancer and dysplasia | — | AUROC: 0.71373 | R²: 0.10361 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012452 | 180, 233.1, 622.1, V10.41,C53, D06, N87 | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |