Trait: nasal disorder

Trait Information
Identifier MONDO_0002436
Description A disease involving the nose.
Trait category
Other trait
Synonyms 5 synonyms
  • disease of nose
  • disease or disorder of nose
  • disorder of nose
  • nose disease
  • nose disease or disorder
Child trait(s) 5 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows PGS for child terms of "nasal disorder" in the EFO hierarchy.
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) vasomotor rhinitis,
allergic 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
PGS004465
(disease.J33.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 J33 (Nasal polyp) nasal cavity polyp 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004465/ScoringFiles/PGS004465.txt.gz
PGS004535
(meta.J33.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 J33 (Nasal polyp) nasal cavity polyp 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004535/ScoringFiles/PGS004535.txt.gz
PGS019270
(TPMI_475_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic sinusitis chronic rhinosinusitis 16
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019270/ScoringFiles/PGS019270.txt.gz
PGS019271
(TPMI_475_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic sinusitis chronic rhinosinusitis 939,862
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019271/ScoringFiles/PGS019271.txt.gz
PGS019272
(TPMI_475_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic sinusitis chronic rhinosinusitis 15,628
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019272/ScoringFiles/PGS019272.txt.gz
PGS019273
(TPMI_475_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic sinusitis chronic rhinosinusitis 983,804
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019273/ScoringFiles/PGS019273.txt.gz
PGS019274
(TPMI_475_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic sinusitis chronic rhinosinusitis 968,351
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019274/ScoringFiles/PGS019274.txt.gz
PGS019275
(TPMI_476_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Allergic rhinitis allergic rhinitis 243,320
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019275/ScoringFiles/PGS019275.txt.gz
PGS019276
(TPMI_476_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Allergic rhinitis allergic rhinitis 939,881
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019276/ScoringFiles/PGS019276.txt.gz
PGS019277
(TPMI_476_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Allergic rhinitis allergic rhinitis 17,340
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019277/ScoringFiles/PGS019277.txt.gz
PGS019278
(TPMI_476_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Allergic rhinitis allergic rhinitis 983,820
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019278/ScoringFiles/PGS019278.txt.gz
PGS019279
(TPMI_476_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Allergic rhinitis allergic rhinitis 950,545
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019279/ScoringFiles/PGS019279.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM020580 PGS004465
(disease.J33.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: J33 (Nasal polyp) OR: 1.3496 — — — —
PPM020650 PGS004535
(meta.J33.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: J33 (Nasal polyp) OR: 1.60067 — — — —
PPM037452 PGS019270
(TPMI_475_Lassosum2)
 PSS013173|
East Asian Ancestry|
16,060 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic sinusitis — AUROC: 0.64256 R²: 0.04727 sex, age, array, PCs 1-10 —
PPM037453 PGS019271
(TPMI_475_LDpred2)
 PSS013172|
East Asian Ancestry|
16,060 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic sinusitis — AUROC: 0.6436 R²: 0.04727 sex, age, array, PCs 1-10 —
PPM037454 PGS019272
(TPMI_475_MegaPRS)
 PSS013174|
East Asian Ancestry|
16,060 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic sinusitis — AUROC: 0.63977 R²: 0.0454 sex, age, array, PCs 1-10 —
PPM037455 PGS019273
(TPMI_475_PRS-CS)
 PSS013175|
East Asian Ancestry|
16,060 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic sinusitis — AUROC: 0.64175 R²: 0.04626 sex, age, array, PCs 1-10 —
PPM037456 PGS019274
(TPMI_475_SBayesR)
 PSS013176|
East Asian Ancestry|
16,060 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic sinusitis — AUROC: 0.64071 R²: 0.0455 sex, age, array, PCs 1-10 —
PPM037457 PGS019275
(TPMI_476_Lassosum2)
 PSS013178|
East Asian Ancestry|
17,583 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Allergic rhinitis — AUROC: 0.66159 R²: 0.1223 sex, age, array, PCs 1-10 —
PPM037458 PGS019276
(TPMI_476_LDpred2)
 PSS013177|
East Asian Ancestry|
17,583 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Allergic rhinitis — AUROC: 0.66228 R²: 0.12353 sex, age, array, PCs 1-10 —
PPM037459 PGS019277
(TPMI_476_MegaPRS)
 PSS013179|
East Asian Ancestry|
17,583 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Allergic rhinitis — AUROC: 0.66233 R²: 0.12293 sex, age, array, PCs 1-10 —
PPM037460 PGS019278
(TPMI_476_PRS-CS)
 PSS013180|
East Asian Ancestry|
17,583 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Allergic rhinitis — AUROC: 0.66181 R²: 0.12306 sex, age, array, PCs 1-10 —
PPM037461 PGS019279
(TPMI_476_SBayesR)
 PSS013181|
East Asian Ancestry|
17,583 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Allergic rhinitis — AUROC: 0.66246 R²: 0.12377 sex, age, array, PCs 1-10 —

Evaluated Samples

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
PSS013181 477,J30 —
[
  • 2,157 cases
  • , 15,426 controls
]
,
45.95 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS004069 — —
[
  • 648 cases
  • , 5,849 controls
]
 — African unspecified — UKB —
PSS004070 — —
[
  • 330 cases
  • , 1,374 controls
]
 — East Asian — UKB —
PSS004071 — —
[
  • 2,149 cases
  • , 22,756 controls
]
 — European non-white British ancestry UKB —
PSS004072 — —
[
  • 893 cases
  • , 6,938 controls
]
 — South Asian — UKB —
PSS004073 — —
[
  • 6,545 cases
  • , 60,880 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS011364 — — 56,192 individuals — European — UKB —
PSS004511 — —
[
  • 393 cases
  • , 6,104 controls
]
 — African unspecified — UKB —
PSS004512 — —
[
  • 215 cases
  • , 1,489 controls
]
 — East Asian — UKB —
PSS004513 — —
[
  • 1,438 cases
  • , 23,467 controls
]
 — European non-white British ancestry UKB —
PSS004514 — —
[
  • 435 cases
  • , 7,396 controls
]
 — South Asian — UKB —
PSS004515 — —
[
  • 4,398 cases
  • , 63,027 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS013172 473, 784.91,J32, R09.82 —
[
  • 634 cases
  • , 15,426 controls
]
,
46.53 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013173 473, 784.91,J32, R09.82 —
[
  • 634 cases
  • , 15,426 controls
]
,
46.53 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013174 473, 784.91,J32, R09.82 —
[
  • 634 cases
  • , 15,426 controls
]
,
46.53 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013175 473, 784.91,J32, R09.82 —
[
  • 634 cases
  • , 15,426 controls
]
,
46.53 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013176 473, 784.91,J32, R09.82 —
[
  • 634 cases
  • , 15,426 controls
]
,
46.53 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013177 477,J30 —
[
  • 2,157 cases
  • , 15,426 controls
]
,
45.95 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013178 477,J30 —
[
  • 2,157 cases
  • , 15,426 controls
]
,
45.95 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013179 477,J30 —
[
  • 2,157 cases
  • , 15,426 controls
]
,
45.95 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013180 477,J30 —
[
  • 2,157 cases
  • , 15,426 controls
]
,
45.95 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —