Trait: Nasal polyposis

Trait Information
Identifier HP_0100582
Description Polypoidal masses arising mainly from the mucous membranes of the nose and paranasal sinuses. They are freely movable and nontender overgrowths of the mucosa that frequently accompany allergic rhinitis. [PMID: 18728843]
Trait category
Other trait
Synonyms 3 synonyms
  • Nasal polyps
  • Polyposis nasi
  • Polyps of nose
Mapped terms 2 mapped terms
  • SNOMEDCT_US:52756005
  • UMLS:C0027430

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
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)
PGS000933
(GBE_HC1024)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Nasal polyp (time-to-event) Nasal polyposis 433
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000933/ScoringFiles/PGS000933.txt.gz
PGS000934
(GBE_HC156)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Nasal polyps Nasal polyposis 129
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000934/ScoringFiles/PGS000934.txt.gz
PGS001848
(portability-PLR_471)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Nasal polyps Nasal polyposis 1,783
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001848/ScoringFiles/PGS001848.txt.gz
PGS002060
(portability-ldpred2_471)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Nasal polyps Nasal polyposis 553,242
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002060/ScoringFiles/PGS002060.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
PPM007492 PGS000933
(GBE_HC1024)
PSS004074|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nasal polyp AUROC: 0.59241 [0.49967, 0.68514] : 0.00952
Incremental AUROC (full-covars): -0.05119
PGS R2 (no covariates): 0.00091
PGS AUROC (no covariates): 0.48954 [0.39183, 0.58724]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007493 PGS000933
(GBE_HC1024)
PSS004075|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nasal polyp AUROC: 0.79304 [0.65773, 0.92835] : 0.12147
Incremental AUROC (full-covars): 0.04938
PGS R2 (no covariates): 0.02455
PGS AUROC (no covariates): 0.68691 [0.49033, 0.88349]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007494 PGS000933
(GBE_HC1024)
PSS004076|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nasal polyp AUROC: 0.66224 [0.63308, 0.69139] : 0.03382
Incremental AUROC (full-covars): 0.04299
PGS R2 (no covariates): 0.0183
PGS AUROC (no covariates): 0.6261 [0.59502, 0.65718]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007495 PGS000933
(GBE_HC1024)
PSS004077|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nasal polyp AUROC: 0.68977 [0.63369, 0.74584] : 0.04721
Incremental AUROC (full-covars): 0.01714
PGS R2 (no covariates): 0.01383
PGS AUROC (no covariates): 0.61037 [0.55084, 0.6699]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007496 PGS000933
(GBE_HC1024)
PSS004078|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nasal polyp AUROC: 0.67606 [0.65938, 0.69275] : 0.04173
Incremental AUROC (full-covars): 0.04228
PGS R2 (no covariates): 0.01964
PGS AUROC (no covariates): 0.62534 [0.60798, 0.6427]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM022195 PGS000933
(GBE_HC1024)
PSS011841|
East Asian Ancestry|
5,885 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Chronic rhinosinusitis AUROC: 0.533 [0.507, 0.56]
PPM022199 PGS000933
(GBE_HC1024)
PSS011842|
East Asian Ancestry|
535 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Nasal polyps in individuals with chronic rhinosinusitis AUROC: 0.532 [0.481, 0.583]
PPM007497 PGS000934
(GBE_HC156)
PSS004277|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nasal polyps AUROC: 0.65827 [0.58248, 0.73405] : 0.0287
Incremental AUROC (full-covars): -0.00544
PGS R2 (no covariates): 1e-05
PGS AUROC (no covariates): 0.49669 [0.40936, 0.58401]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007498 PGS000934
(GBE_HC156)
PSS004278|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nasal polyps AUROC: 0.69967 [0.52462, 0.87472] : 0.03703
Incremental AUROC (full-covars): 0.0
PGS R2 (no covariates): 0.01108
PGS AUROC (no covariates): 0.62251 [0.4395, 0.80552]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007499 PGS000934
(GBE_HC156)
PSS004279|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nasal polyps AUROC: 0.63328 [0.60284, 0.66372] : 0.02259
Incremental AUROC (full-covars): 0.02586
PGS R2 (no covariates): 0.00942
PGS AUROC (no covariates): 0.58779 [0.55667, 0.61891]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007500 PGS000934
(GBE_HC156)
PSS004280|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nasal polyps AUROC: 0.6332 [0.57742, 0.68897] : 0.02262
Incremental AUROC (full-covars): 0.01134
PGS R2 (no covariates): 0.00545
PGS AUROC (no covariates): 0.57902 [0.52247, 0.63558]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007501 PGS000934
(GBE_HC156)
PSS004281|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Nasal polyps AUROC: 0.64859 [0.63074, 0.66643] : 0.02916
Incremental AUROC (full-covars): 0.02257
PGS R2 (no covariates): 0.00975
PGS AUROC (no covariates): 0.58621 [0.56789, 0.60453]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM022196 PGS000934
(GBE_HC156)
PSS011841|
East Asian Ancestry|
5,885 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Chronic rhinosinusitis AUROC: 0.531 [0.505, 0.556]
PPM022200 PGS000934
(GBE_HC156)
PSS011842|
East Asian Ancestry|
535 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Nasal polyps in individuals with chronic rhinosinusitis AUROC: 0.517 [0.465, 0.569]
PPM009674 PGS001848
(portability-PLR_471)
PSS009323|
European Ancestry|
19,106 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0469 [0.0327, 0.0611] sex, age, birth date, deprivation index, 16 PCs
PPM009675 PGS001848
(portability-PLR_471)
PSS009097|
European Ancestry|
3,952 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0653 [0.0341, 0.0963] sex, age, birth date, deprivation index, 16 PCs
PPM009676 PGS001848
(portability-PLR_471)
PSS008651|
European Ancestry|
6,357 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0455 [0.0209, 0.07] sex, age, birth date, deprivation index, 16 PCs
PPM009677 PGS001848
(portability-PLR_471)
PSS008425|
Greater Middle Eastern Ancestry|
1,114 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0094 [-0.0499, 0.0686] sex, age, birth date, deprivation index, 16 PCs
PPM009679 PGS001848
(portability-PLR_471)
PSS007987|
East Asian Ancestry|
1,740 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0006 [-0.0467, 0.0478] sex, age, birth date, deprivation index, 16 PCs
PPM009680 PGS001848
(portability-PLR_471)
PSS007770|
African Ancestry|
2,365 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): -0.011 [-0.0514, 0.0295] sex, age, birth date, deprivation index, 16 PCs
PPM009681 PGS001848
(portability-PLR_471)
PSS008874|
African Ancestry|
3,758 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0034 [-0.0286, 0.0355] sex, age, birth date, deprivation index, 16 PCs
PPM009678 PGS001848
(portability-PLR_471)
PSS008205|
South Asian Ancestry|
6,007 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0287 [0.0034, 0.054] sex, age, birth date, deprivation index, 16 PCs
PPM022197 PGS001848
(portability-PLR_471)
PSS011841|
East Asian Ancestry|
5,885 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Chronic rhinosinusitis AUROC: 0.533 [0.507, 0.56]
PPM022201 PGS001848
(portability-PLR_471)
PSS011842|
East Asian Ancestry|
535 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Nasal polyps in individuals with chronic rhinosinusitis AUROC: 0.58 [0.527, 0.632]
PPM022203 PGS001848
(portability-PLR_471)
PSS011841|
East Asian Ancestry|
5,885 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Chronic rhinosinusitis Odds ratio (OR, high vs low PGS quartile): 1.352 [1.058, 1.729]
PPM022205 PGS001848
(portability-PLR_471)
PSS011842|
East Asian Ancestry|
535 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Nasal polyps in individuals with chronic rhinosinusitis Odds ratio (OR, high vs low PGS quartile): 1.92 [1.147, 3.212]
PPM011342 PGS002060
(portability-ldpred2_471)
PSS009323|
European Ancestry|
19,106 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0508 [0.0366, 0.0649] sex, age, birth date, deprivation index, 16 PCs
PPM011343 PGS002060
(portability-ldpred2_471)
PSS009097|
European Ancestry|
3,952 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.059 [0.0278, 0.0901] sex, age, birth date, deprivation index, 16 PCs
PPM011344 PGS002060
(portability-ldpred2_471)
PSS008651|
European Ancestry|
6,357 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0441 [0.0195, 0.0686] sex, age, birth date, deprivation index, 16 PCs
PPM011345 PGS002060
(portability-ldpred2_471)
PSS008425|
Greater Middle Eastern Ancestry|
1,114 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0084 [-0.0509, 0.0676] sex, age, birth date, deprivation index, 16 PCs
PPM011346 PGS002060
(portability-ldpred2_471)
PSS008205|
South Asian Ancestry|
6,007 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0332 [0.0079, 0.0585] sex, age, birth date, deprivation index, 16 PCs
PPM011347 PGS002060
(portability-ldpred2_471)
PSS007987|
East Asian Ancestry|
1,740 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): 0.0075 [-0.0398, 0.0547] sex, age, birth date, deprivation index, 16 PCs
PPM011348 PGS002060
(portability-ldpred2_471)
PSS007770|
African Ancestry|
2,365 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): -0.002 [-0.0425, 0.0385] sex, age, birth date, deprivation index, 16 PCs
PPM011349 PGS002060
(portability-ldpred2_471)
PSS008874|
African Ancestry|
3,758 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Nasal polyps Partial Correlation (partial-r): -0.0088 [-0.0409, 0.0233] sex, age, birth date, deprivation index, 16 PCs
PPM022198 PGS002060
(portability-ldpred2_471)
PSS011841|
East Asian Ancestry|
5,885 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Chronic rhinosinusitis AUROC: 0.534 [0.508, 0.56]
PPM022202 PGS002060
(portability-ldpred2_471)
PSS011842|
East Asian Ancestry|
535 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Nasal polyps in individuals with chronic rhinosinusitis AUROC: 0.588 [0.537, 0.64]
PPM022204 PGS002060
(portability-ldpred2_471)
PSS011841|
East Asian Ancestry|
5,885 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Chronic rhinosinusitis Odds ratio (OR, high vs low PGS quartile): 1.477 [1.142, 1.91]
PPM022206 PGS002060
(portability-ldpred2_471)
PSS011842|
East Asian Ancestry|
535 individuals
PGP000690 |
Jiang RS et al. Biomedicines (2023)
|Ext.
Reported Trait: Nasal polyps in individuals with chronic rhinosinusitis Odds ratio (OR, high vs low PGS quartile): 2.318 [1.371, 3.921]

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
PSS008651 6,357 individuals European Italy (South Europe) UKB
PSS007770 2,365 individuals African American or Afro-Caribbean Carribean UKB
PSS008425 1,114 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009323 19,106 individuals European UK (+ Ireland) UKB
PSS004074
[
  • 40 cases
  • , 6,457 controls
]
African unspecified UKB
PSS004075
[
  • 8 cases
  • , 1,696 controls
]
East Asian UKB
PSS004076
[
  • 328 cases
  • , 24,577 controls
]
European non-white British ancestry UKB
PSS004077
[
  • 82 cases
  • , 7,749 controls
]
South Asian UKB
PSS004078
[
  • 975 cases
  • , 66,450 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS011841
[
  • 535 cases
  • , 5,350 controls
]
East Asian
(Taiwanese)
TPMI
PSS011842
[
  • 172 cases
  • , 363 controls
]
East Asian
(Taiwanese)
TPMI
PSS009097 3,952 individuals European Poland (NE Europe) UKB
PSS008205 6,007 individuals South Asian India (South Asia) UKB
PSS008874 3,758 individuals African unspecified Nigeria (West Africa) UKB
PSS007987 1,740 individuals East Asian China (East Asia) UKB
PSS004277
[
  • 40 cases
  • , 6,457 controls
]
African unspecified UKB
PSS004278
[
  • 11 cases
  • , 1,693 controls
]
East Asian UKB
PSS004279
[
  • 340 cases
  • , 24,565 controls
]
European non-white British ancestry UKB
PSS004280
[
  • 95 cases
  • , 7,736 controls
]
South Asian UKB
PSS004281
[
  • 944 cases
  • , 66,481 controls
]
European white British ancestry UKB Testing cohort (heldout set)