Predicted Trait | |
Reported Trait | Gout |
Mapped Trait(s) | gout (EFO_0004274) |
Score Construction | |
PGS Name | megaprs.CV.GCST008972.Gout |
Development Method | |
Name | megaprs.CV |
Parameters | Model:Model115,Type:bolt,Her_Scaling:1,Lasso_lambda:NA,Lasso_s:NA,Bolt_p:0.1,Bolt_f2:0.2,BayesR_p1:NA,BayesR_p2:NA,BayesR_p3:NA,BayesR_p4:NA |
Variants | |
Original Genome Build | GRCh38 |
Number of Variants | 677,631 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000517 |
Citation (link to publication) | Monti R et al. Am J Hum Genet (2024) |
Ancestry Distribution | |
Score Development/Training | European: 100% 6,704 individuals (100%) |
PGS Evaluation | European: 66.7% South Asian: 33.3% 6 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 |
---|---|---|---|---|---|---|---|---|
— | 6,704 individuals | European | UKB | — | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM019874 | PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.55746 [1.52659143, 1.588943] β: 0.44305 [0.42303743, 0.46306902] |
AUROC: 0.62255 [0.61712778, 0.62796325] | R²: 0.03369 [0.03072073, 0.03678978] | 0 | beta = log(or)/sd_pgs |
PPM019875 | PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.63709 [1.60165217, 1.67331416] β: 0.49292 [0.4710357, 0.51480619] |
AUROC: 0.63435 [0.62841613, 0.64028998] | R²: 0.04132 [0.03772231, 0.0451372] | 0 | beta = log(or)/sd_pgs |
PPM019876 | PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.76885 [1.56999296, 1.99289664] β: 0.57033 [0.45107113, 0.68958918] |
AUROC: 0.65631 [0.62346318, 0.68914999] | R²: 0.04696 [0.02929894, 0.06996635] | 0 | beta = log(or)/sd_pgs |
PPM019877 | PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.67754 [1.58726039, 1.77295071] β: 0.51733 [0.46200951, 0.57264522] |
AUROC: 0.6403 [0.62501992, 0.65557844] | R²: 0.04641 [0.03664355, 0.05688366] | 0 | beta = log(or)/sd_pgs |
PPM019878 | PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.63078 [1.4171248, 1.87664734] β: 0.48906 [0.34863003, 0.62948686] |
AUROC: 0.63404 [0.59737873, 0.67070965] | R²: 0.03487 [0.01866348, 0.05635125] | 0 | beta = log(or)/sd_pgs |
PPM019879 | PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.97547 [1.87984426, 2.07596098] β: 0.68081 [0.63118893, 0.73042417] |
AUROC: 0.6845 [0.67169718, 0.69730867] | R²: 0.07885 [0.06756619, 0.09040694] | 0 | beta = log(or)/sd_pgs |
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 |
---|---|---|---|---|---|---|---|---|
PSS011240 | — | — | [
|
— | South Asian | — | G&H | — |
PSS011217 | — | — | [
|
— | European | — | EB | — |
PSS011284 | — | — | [
|
— | South Asian | — | UKB | — |
PSS011256 | — | — | [
|
— | European | — | HUNT | — |
PSS011229 | M13_GOUT, ICD10: M10, ICD9: 2740 | — | [
|
— | European | — | FinnGen | — |
PSS011270 | — | — | [
|
— | European | — | UKB | — |