Predicted Trait | |
Reported Trait | Gout |
Mapped Trait(s) | gout (EFO_0004274) |
Score Construction | |
PGS Name | GenoBoost_gout_0 |
Development Method | |
Name | GenoBoost |
Parameters | lr=0.2, #snv=80, model=Additive GenoBoost |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 80 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000546 |
Citation (link to publication) | Ohta R et al. Nat Commun (2024) |
Ancestry Distribution | |
Score Development/Training | European: 100% 269,710 individuals (100%) |
PGS Evaluation | European: 100% 1 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 |
---|---|---|---|---|---|---|---|---|
— | [ ,
46.4 % Male samples |
European (White British) |
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 |
---|---|---|---|---|---|---|---|---|
PPM020333 | PSS011346| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Gout | — | AUROC: 0.79753 | Covariate-adjusted pseudo-R2: 0.0401 AUPRC: 0.09881 |
age, sex, PC1-10 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011346 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |