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
|
Mapped terms |
2 mapped terms
|
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 |
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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | — | — |
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 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004075 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004076 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004077 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004078 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS011841 | — | — | [
|
— | East Asian (Taiwanese) |
— | TPMI | — |
PSS011842 | — | — | [
|
— | 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 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004278 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004279 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004280 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004281 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |