Trait Information | |
Identifier | MONDO_0037821 |
Description | A disease that has its basis in the disruption of porphyrin-containing compound metabolic process. [MONDO: patterns/basis_in_disruption_of_process] | Trait category |
Metabolic disorder
|
Synonyms |
4 synonyms
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Mapped terms |
4 mapped terms
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Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS000924 (GBE_HC702) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Disorders of porphyrin and bilirubin metabolism (time-to-event) | bilirubin metabolism disease, porphyrin metabolism disease |
5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000924/ScoringFiles/PGS000924.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM007448 | PGS000924 (GBE_HC702) |
PSS004600| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.87825 [0.76546, 0.99105] | R²: 0.13644 Incremental AUROC (full-covars): -0.00608 PGS R2 (no covariates): 0.01768 PGS AUROC (no covariates): 0.66722 [0.47474, 0.85969] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007449 | PGS000924 (GBE_HC702) |
PSS004602| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.89799 [0.85782, 0.93815] | R²: 0.23107 Incremental AUROC (full-covars): 0.18304 PGS R2 (no covariates): 0.18886 PGS AUROC (no covariates): 0.85948 [0.81228, 0.90668] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007450 | PGS000924 (GBE_HC702) |
PSS004603| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.85394 [0.77864, 0.92924] | R²: 0.15917 Incremental AUROC (full-covars): 0.14922 PGS R2 (no covariates): 0.11194 PGS AUROC (no covariates): 0.81401 [0.72659, 0.90144] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007451 | PGS000924 (GBE_HC702) |
PSS004604| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.90591 [0.88325, 0.92858] | R²: 0.23709 Incremental AUROC (full-covars): 0.28213 PGS R2 (no covariates): 0.21843 PGS AUROC (no covariates): 0.88697 [0.86397, 0.90997] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
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 |
---|---|---|---|---|---|---|---|---|
PSS004604 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004600 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004602 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004603 | — | — | [
|
— | South Asian | — | UKB | — |