Predicted Trait | |
Reported Trait | SHBG [nmol/L] |
Mapped Trait(s) | sex hormone-binding globulin measurement (EFO_0004696) |
Score Construction | |
PGS Name | snpnet.SHBG |
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 | 19,328 |
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 |
---|---|---|---|---|---|---|---|---|
PPM001422 | PSS000744| African Ancestry| 5,523 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.22708 Spearman's ρ: 0.235 |
Age, sex, PCs(1-40) | — |
PPM001457 | PSS000745| East Asian Ancestry| 979 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.31846 Spearman's ρ: 0.311 |
Age, sex, PCs(1-40) | — |
PPM001492 | PSS000746| European Ancestry| 21,313 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.35511 Spearman's ρ: 0.384 |
Age, sex, PCs(1-40) | — |
PPM001527 | PSS000747| South Asian Ancestry| 6,638 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.28079 Spearman's ρ: 0.326 |
Age, sex, PCs(1-40) | — |
PPM001562 | PSS000748| European Ancestry| 57,677 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.34576 Spearman's ρ: 0.414 |
Age, sex, PCs(1-40) | — |
PPM001571 | PSS000830| European Ancestry| 2,129 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | Spearman's ρ: 0.19 | Age, sex | — |
PPM007395 | PSS007186| African Ancestry| 5,606 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.15136 [0.13531, 0.16741] Incremental R2 (full-covars): 0.00248 PGS R2 (no covariates): 0.04048 [0.0311, 0.04987] |
age, sex, UKB array type, Genotype PCs | — |
PPM007396 | PSS007187| East Asian Ancestry| 1,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.21699 [0.18242, 0.25155] Incremental R2 (full-covars): 0.00252 PGS R2 (no covariates): 0.04369 [0.02475, 0.06264] |
age, sex, UKB array type, Genotype PCs | — |
PPM007397 | PSS007188| European Ancestry| 21,531 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.18855 [0.1798, 0.1973] Incremental R2 (full-covars): 0.00395 PGS R2 (no covariates): 0.09661 [0.08964, 0.10359] |
age, sex, UKB array type, Genotype PCs | — |
PPM007398 | PSS007189| South Asian Ancestry| 6,736 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.13468 [0.12062, 0.14874] Incremental R2 (full-covars): 0.004 PGS R2 (no covariates): 0.07268 [0.06161, 0.08375] |
age, sex, UKB array type, Genotype PCs | — |
PPM007399 | PSS007190| European Ancestry| 58,525 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.16541 [0.16028, 0.17053] Incremental R2 (full-covars): 0.0045 PGS R2 (no covariates): 0.11086 [0.10639, 0.11533] |
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 |
---|---|---|---|---|---|---|---|---|
PSS000744 | — | — | 5,523 individuals | — | African unspecified | — | UKB | — |
PSS000745 | — | — | 979 individuals | — | East Asian | — | UKB | — |
PSS000746 | — | — | 21,313 individuals | — | European | Non-British White | UKB | — |
PSS000747 | — | — | 6,638 individuals | — | South Asian | — | UKB | — |
PSS000748 | — | — | 57,677 individuals | — | European (British) |
— | UKB | — |
PSS007187 | — | — | 1,463 individuals | — | East Asian | — | UKB | — |
PSS007186 | — | — | 5,606 individuals | — | African unspecified | — | UKB | — |
PSS000830 | — | — | 2,129 individuals | — | European | Participants self-identifying as white | MESA | — |
PSS007188 | — | — | 21,531 individuals | — | European | non-white British ancestry | UKB | — |
PSS007189 | — | — | 6,736 individuals | — | South Asian | — | UKB | — |
PSS007190 | — | — | 58,525 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |