Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0005854 |
Description | Inflammation of the nasal mucous membranes caused by an IgE-mediated response to external allergens. The inflammation may also involve the mucous membranes of the sinuses, eyes, middle ear, and pharynx. Symptoms include sneezing, nasal congestion, rhinorrhea, and itching. It may lead to fatigue, drowsiness, and malaise thus causing impairment of the quality of life. [NCIT: C79532] | Trait category |
Immune system disorder
|
Synonyms |
10 synonyms
|
Mapped terms |
16 mapped terms
|
Child trait(s) | 2 child traits |
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) |
---|---|---|---|---|---|---|
PGS001109 (GBE_HC1021) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vasomotor and allergic rhinitis (time-to-event) | allergic rhinitis, vasomotor rhinitis |
1,910 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001109/ScoringFiles/PGS001109.txt.gz |
PGS001259 (GBE_HC49) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hayfever/allergic rhinitis | seasonal allergic rhinitis | 349 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001259/ScoringFiles/PGS001259.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 |
---|---|---|---|---|---|---|---|---|---|
PPM008284 | PGS001109 (GBE_HC1021) |
PSS004069| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.5683 [0.54473, 0.59188] | R²: 0.01206 Incremental AUROC (full-covars): 0.00409 PGS R2 (no covariates): 0.00275 PGS AUROC (no covariates): 0.53243 [0.50926, 0.55561] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008285 | PGS001109 (GBE_HC1021) |
PSS004070| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.54528 [0.51116, 0.5794] | R²: 0.01457 Incremental AUROC (full-covars): 0.00387 PGS R2 (no covariates): 0.00105 PGS AUROC (no covariates): 0.51375 [0.47834, 0.54917] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008286 | PGS001109 (GBE_HC1021) |
PSS004071| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.6003 [0.58786, 0.61273] | R²: 0.0217 Incremental AUROC (full-covars): 0.02658 PGS R2 (no covariates): 0.00981 PGS AUROC (no covariates): 0.56712 [0.55454, 0.57969] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008287 | PGS001109 (GBE_HC1021) |
PSS004072| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.55379 [0.53392, 0.57366] | R²: 0.00762 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.00254 PGS AUROC (no covariates): 0.53239 [0.51256, 0.55222] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008288 | PGS001109 (GBE_HC1021) |
PSS004073| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.59854 [0.59138, 0.6057] | R²: 0.02303 Incremental AUROC (full-covars): 0.02878 PGS R2 (no covariates): 0.0118 PGS AUROC (no covariates): 0.56998 [0.56268, 0.57727] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008800 | PGS001259 (GBE_HC49) |
PSS004511| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.58821 [0.55886, 0.61757] | R²: 0.01784 Incremental AUROC (full-covars): -0.00253 PGS R2 (no covariates): 0.00082 PGS AUROC (no covariates): 0.51547 [0.48626, 0.54467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008801 | PGS001259 (GBE_HC49) |
PSS004512| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.56313 [0.52505, 0.60122] | R²: 0.02281 Incremental AUROC (full-covars): 0.00075 PGS R2 (no covariates): 0.0011 PGS AUROC (no covariates): 0.52627 [0.48539, 0.56716] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008802 | PGS001259 (GBE_HC49) |
PSS004513| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60641 [0.59175, 0.62107] | R²: 0.02043 Incremental AUROC (full-covars): 0.01519 PGS R2 (no covariates): 0.00564 PGS AUROC (no covariates): 0.55414 [0.53891, 0.56936] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008803 | PGS001259 (GBE_HC49) |
PSS004514| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60093 [0.57427, 0.6276] | R²: 0.02041 Incremental AUROC (full-covars): 0.00631 PGS R2 (no covariates): 0.00266 PGS AUROC (no covariates): 0.54086 [0.51259, 0.56913] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008804 | PGS001259 (GBE_HC49) |
PSS004515| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60078 [0.59218, 0.60937] | R²: 0.02042 Incremental AUROC (full-covars): 0.01922 PGS R2 (no covariates): 0.00737 PGS AUROC (no covariates): 0.5597 [0.55096, 0.56843] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004511 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004512 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004513 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004514 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004515 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004069 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004070 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004071 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004072 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004073 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |