Predicted Trait | |
Reported Trait | Testosterone [nmol/L] |
Mapped Trait(s) | testosterone measurement (EFO_0004908) |
Score Construction | |
PGS Name | snpnet.Testosterone |
Development Method | |
Name | snpnet |
Parameters | 1,080,968 variants as input (directly genotyped variants, imputed HLA allelotypes, and CNVs) |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 8,223 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000128 |
Citation (link to publication) | Sinnott-Armstrong N et al. Nat Genet (2021) |
Ancestry Distribution | |
Score Development/Training | European: 100% 255,256 individuals (100%) |
PGS Evaluation | European: 45.5% African: 18.2% East Asian: 18.2% South Asian: 18.2% 11 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 |
---|---|---|---|---|---|---|---|---|
Europe PMC: 10.1038/s41588-020-00757-z |
223,327 individuals | European (British) |
UKB | — | — | — | — | Training |
Europe PMC: 10.1038/s41588-020-00757-z |
31,929 individuals | European (British) |
UKB | — | — | — | — | Validation |
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 |
---|---|---|---|---|---|---|---|---|
PPM001424 | PSS000757| African Ancestry| 5,453 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.89659 Spearman's ρ: 0.091 |
Age, sex, PCs(1-40) | — |
PPM001459 | PSS000758| East Asian Ancestry| 1,008 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.91376 Spearman's ρ: 0.115 |
Age, sex, PCs(1-40) | — |
PPM001494 | PSS000759| European Ancestry| 21,344 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.90433 Spearman's ρ: 0.169 |
Age, sex, PCs(1-40) | — |
PPM001529 | PSS000760| South Asian Ancestry| 6,680 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.89983 Spearman's ρ: 0.149 |
Age, sex, PCs(1-40) | — |
PPM001564 | PSS000761| European Ancestry| 57,774 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.9055 Spearman's ρ: 0.175 |
Age, sex, PCs(1-40) | — |
PPM001572 | PSS000831| European Ancestry| 2,129 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | Spearman's ρ: 0.104 | Age, sex | — |
PPM007405 | PSS007196| African Ancestry| 5,534 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.80968 [0.80136, 0.81801] Incremental R2 (full-covars): 0.00067 PGS R2 (no covariates): 0.00079 [-0.00058, 0.00215] |
age, sex, UKB array type, Genotype PCs | — |
PPM007406 | PSS007197| East Asian Ancestry| 1,506 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.865 [0.8531, 0.8769] Incremental R2 (full-covars): 0.0008 PGS R2 (no covariates): 0.00346 [-0.00209, 0.00902] |
age, sex, UKB array type, Genotype PCs | — |
PPM007407 | PSS007198| European Ancestry| 21,549 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.8185 [0.81442, 0.82257] Incremental R2 (full-covars): 0.00147 PGS R2 (no covariates): 0.00189 [0.00081, 0.00297] |
age, sex, UKB array type, Genotype PCs | — |
PPM007408 | PSS007199| South Asian Ancestry| 6,754 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.77833 [0.76967, 0.78698] Incremental R2 (full-covars): 0.00157 PGS R2 (no covariates): 0.00425 [0.00137, 0.00712] |
age, sex, UKB array type, Genotype PCs | — |
PPM007409 | PSS007200| European Ancestry| 58,509 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.8074 [0.80479, 0.81001] Incremental R2 (full-covars): 0.00156 PGS R2 (no covariates): 0.00319 [0.00234, 0.00404] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS007196 | — | — | 5,534 individuals | — | African unspecified | — | UKB | — |
PSS007197 | — | — | 1,506 individuals | — | East Asian | — | UKB | — |
PSS007198 | — | — | 21,549 individuals | — | European | non-white British ancestry | UKB | — |
PSS007199 | — | — | 6,754 individuals | — | South Asian | — | UKB | — |
PSS007200 | — | — | 58,509 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS000757 | — | — | 5,453 individuals | — | African unspecified | — | UKB | — |
PSS000758 | — | — | 1,008 individuals | — | East Asian | — | UKB | — |
PSS000759 | — | — | 21,344 individuals | — | European | Non-British White | UKB | — |
PSS000760 | — | — | 6,680 individuals | — | South Asian | — | UKB | — |
PSS000761 | — | — | 57,774 individuals | — | European (British) |
— | UKB | — |
PSS000831 | — | — | 2,129 individuals | — | European | Participants self-identifying as white | MESA | — |