Predicted Trait | |
Reported Trait | Thyroid cancer |
Mapped Trait(s) | thyroid carcinoma (EFO_0002892) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/cancer1065 |
Score Construction | |
PGS Name | GBE_cancer1065 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 11 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 269,704 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
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 | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM008943 | PSS007656| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.72837 [0.59989, 0.85685] | R²: 0.0395 Incremental AUROC (full-covars): 0.01385 PGS R2 (no covariates): 0.0141 PGS AUROC (no covariates): 0.6101 [0.46446, 0.75575] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008944 | PSS007657| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.83233 [0.67782, 0.98683] | R²: 0.16699 Incremental AUROC (full-covars): -0.00184 PGS R2 (no covariates): 0.01024 PGS AUROC (no covariates): 0.54057 [0.24283, 0.83831] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008945 | PSS007658| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.71465 [0.65621, 0.77309] | R²: 0.04643 Incremental AUROC (full-covars): 0.00897 PGS R2 (no covariates): 0.00455 PGS AUROC (no covariates): 0.55967 [0.48236, 0.63699] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008946 | PSS007659| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.71171 [0.57425, 0.84917] | R²: 0.04277 Incremental AUROC (full-covars): 0.00229 PGS R2 (no covariates): 0.00022 PGS AUROC (no covariates): 0.51375 [0.35907, 0.66843] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008947 | PSS007660| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.63744 [0.5901, 0.68478] | R²: 0.016 Incremental AUROC (full-covars): 0.03389 PGS R2 (no covariates): 0.01236 PGS AUROC (no covariates): 0.61843 [0.56413, 0.67273] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
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 |
---|---|---|---|---|---|---|---|---|
PSS007656 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS007657 | — | — | [
|
— | East Asian | — | UKB | — |
PSS007658 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS007659 | — | — | [
|
— | South Asian | — | UKB | — |
PSS007660 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |