Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0000699 |
Description | An autoimmune disorder in which immune cells attack and destroy the glands that produce tears and saliva. Sjögren syndrome is also associated with rheumatic disorders such as rheumatoid arthritis or systemic lupus erythematosus. The hallmark symptoms of Sjögren syndrome are dry mouth and dry eyes. In addition, Sjogren syndrome may cause skin, nose, and vaginal dryness. It also may affect other organs of the body including the kidneys, blood vessels, lungs, liver, pancreas, and brain | Trait categories |
Digestive system disorder
Immune system disorder
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Synonyms |
21 synonyms
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Mapped terms |
19 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) |
---|---|---|---|---|---|---|
PGS001308 (GBE_HC321) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sjogren's syndrome/sicca syndrome | Sjogren syndrome | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001308/ScoringFiles/PGS001308.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 |
---|---|---|---|---|---|---|---|---|---|
PPM009034 | PGS001308 (GBE_HC321) |
PSS004437| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.79846 [0.71474, 0.88218] | R²: 0.07345 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.01471 PGS AUROC (no covariates): 0.59027 [0.45551, 0.72504] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009035 | PGS001308 (GBE_HC321) |
PSS004438| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.75824 [0.55089, 0.96558] | R²: 0.05686 Incremental AUROC (full-covars): 0.00691 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.69794 [0.63241, 0.76347] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009036 | PGS001308 (GBE_HC321) |
PSS004439| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.77174 [0.71988, 0.82361] | R²: 0.07435 Incremental AUROC (full-covars): 0.01461 PGS R2 (no covariates): 0.01453 PGS AUROC (no covariates): 0.65693 [0.58901, 0.72485] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009037 | PGS001308 (GBE_HC321) |
PSS004440| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.8014 [0.74455, 0.85826] | R²: 0.08893 Incremental AUROC (full-covars): 0.00953 PGS R2 (no covariates): 0.03189 PGS AUROC (no covariates): 0.61034 [0.48809, 0.73259] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009038 | PGS001308 (GBE_HC321) |
PSS004441| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.73313 [0.69647, 0.76978] | R²: 0.04771 Incremental AUROC (full-covars): 0.01551 PGS R2 (no covariates): 0.01074 PGS AUROC (no covariates): 0.60303 [0.55292, 0.65315] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004437 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004438 | — | — | [
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— | East Asian | — | UKB | — |
PSS004439 | — | — | [
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— | European | non-white British ancestry | UKB | — |
PSS004440 | — | — | [
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— | South Asian | — | UKB | — |
PSS004441 | — | — | [
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— | European | white British ancestry | UKB | Testing cohort (heldout set) |