Predicted Trait | |
Reported Trait | Gout |
Mapped Trait(s) | gout (EFO_0004274) |
Score Construction | |
PGS Name | dbslmm.auto.GCST008972.Gout |
Development Method | |
Name | DBSLMM-auto |
Parameters | auto |
Variants | |
Original Genome Build | GRCh38 |
Number of Variants | 1,005,456 |
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 |
---|---|---|---|---|---|---|---|---|
PPM019838 | PSS011217| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.50745 [1.47796024, 1.5375183] β: 0.41042 [0.39066292, 0.43016962] |
AUROC: 0.61325 [0.60779606, 0.61870702] | R²: 0.02962 [0.02672714, 0.03230875] | 0 | beta = log(or)/sd_pgs |
PPM019839 | PSS011229| European Ancestry| 257,781 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.59028 [1.55612374, 1.62518326] β: 0.46391 [0.44219794, 0.48562058] |
AUROC: 0.62761 [0.62165917, 0.63355348] | R²: 0.03713 [0.03363667, 0.04076845] | 0 | beta = log(or)/sd_pgs |
PPM019841 | PSS011240| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.63718 [1.45725499, 1.83932584] β: 0.49298 [0.37655452, 0.60939911] |
AUROC: 0.64151 [0.60737269, 0.67564824] | R²: 0.03669 [0.02132512, 0.05710201] | 0 | beta = log(or)/sd_pgs |
PPM019842 | PSS011256| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.67929 [1.58936991, 1.77430261] β: 0.51837 [0.46333766, 0.57340745] |
AUROC: 0.64259 [0.62727636, 0.65789436] | R²: 0.0471 [0.03706694, 0.0578511] | 0 | beta = log(or)/sd_pgs |
PPM019844 | PSS011284| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.46542 [1.27714829, 1.68144609] β: 0.38214 [0.2446297, 0.51965419] |
AUROC: 0.61315 [0.57622286, 0.65007909] | R²: 0.0221 [0.01047071, 0.04003123] | 0 | beta = log(or)/sd_pgs |
PPM019846 | PSS011270| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Gout | OR: 1.88159 [1.79142568, 1.9762825] β: 0.63211 [0.58301177, 0.68121755] |
AUROC: 0.67177 [0.6587114, 0.68482289] | R²: 0.06935 [0.05874042, 0.07993725] | 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 | — |