Trait: upper respiratory tract disorder

Trait Information
Identifier MONDO_0004867
Description A disease involving the upper respiratory tract.
Trait category
Other disease
Synonyms 5 synonyms
  • disease of upper respiratory tract
  • disease or disorder of upper respiratory tract
  • disorder of upper respiratory tract
  • upper respiratory tract disease
  • upper respiratory tract disease or disorder
Child trait(s) 11 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 "upper respiratory tract 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)
PGS000360
(PRSWEB_PHECODE149.4_C32_LASSOSUM_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Laryngeal cancer larynx cancer 25,920
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000360/ScoringFiles/PGS000360.txt.gz
PGS000361
(PRSWEB_PHECODE149.4_C3-LARYNX_LASSOSUM_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Laryngeal cancer larynx cancer 87,893
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000361/ScoringFiles/PGS000361.txt.gz
PGS000362
(PRSWEB_PHECODE149.4_UKBB-SAIGE-HRC-X149.4_PT_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Laryngeal cancer larynx cancer 53
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000362/ScoringFiles/PGS000362.txt.gz
PGS000388
(PRSWEB_PHECODE165.1_C3-BRONCHUS-LUNG_PRS-CS_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 1,109,069
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000388/ScoringFiles/PGS000388.txt.gz
PGS000389
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000389/ScoringFiles/PGS000389.txt.gz
PGS000390
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_UKB_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000390/ScoringFiles/PGS000390.txt.gz
PGS000391
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 14
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000391/ScoringFiles/PGS000391.txt.gz
PGS000392
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 19
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000392/ScoringFiles/PGS000392.txt.gz
PGS000393
(PRSWEB_PHECODE165.1_LUNG-CANCER_PRS-CS_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 1,110,438
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000393/ScoringFiles/PGS000393.txt.gz
PGS000394
(PRSWEB_PHECODE165.1_LUNG-CANCER-MESOT_PRS-CS_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 1,110,438
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000394/ScoringFiles/PGS000394.txt.gz
PGS000395
(PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PRS-CS_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000395/ScoringFiles/PGS000395.txt.gz
PGS000396
(PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PT_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 75
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000396/ScoringFiles/PGS000396.txt.gz
PGS000397
(PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_LASSOSUM_MGI_20200608)
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Lung and bronchus cancer tracheal cancer,
bronchus cancer,
lung cancer		 46,920
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000397/ScoringFiles/PGS000397.txt.gz
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
PGS001326
(GBE_HC431)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Emphysema pulmonary emphysema 42
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001326/ScoringFiles/PGS001326.txt.gz
PGS001332
(GBE_HC442)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Chronic obstructive pulmonary disease chronic obstructive pulmonary disease 482
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001332/ScoringFiles/PGS001332.txt.gz
PGS001333
(GBE_HC1582)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Chronic obstructive pulmonary disease (algorithmically-defined) chronic obstructive pulmonary disease 569
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001333/ScoringFiles/PGS001333.txt.gz
PGS001334
(GBE_HC1035)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Other chronic obstructive pulmonary disease (time-to-event) chronic obstructive pulmonary disease 498
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001334/ScoringFiles/PGS001334.txt.gz
PGS001783
(1kgeur_gbmi_COPD_pst_eff_a1_b0.5_phiauto)
 PGP000262 |
Wang Y et al. Cell Genom (2023)
 Chronic obstructive pulmonary disease chronic obstructive pulmonary disease 884,139
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001783/ScoringFiles/PGS001783.txt.gz
PGS001788
(1kgeur_gbmi_leaveUKBBout_COPD_pst_eff_a1_b0.5_phiauto)
 PGP000262 |
Wang Y et al. Cell Genom (2023)
 Chronic obstructive pulmonary disease chronic obstructive pulmonary disease 910,082
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001788/ScoringFiles/PGS001788.txt.gz
PGS001850
(portability-PLR_496)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Chronic airway obstruction chronic obstructive pulmonary disease 7,347
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001850/ScoringFiles/PGS001850.txt.gz
PGS002062
(portability-ldpred2_496)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Chronic airway obstruction chronic obstructive pulmonary disease 811,003
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002062/ScoringFiles/PGS002062.txt.gz
PGS002291
(PRS12_NPC)
 PGP000320 |
He YQ et al. Nat Commun (2022)
 Nasopharyngeal carcinoma nasopharyngeal neoplasm 12
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002291/ScoringFiles/PGS002291.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
PGS004466
(disease.J44.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 J44 (Other chronic obstructive pulmonary disease) chronic obstructive pulmonary disease 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004466/ScoringFiles/PGS004466.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
PGS004536
(meta.J44.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 J44 (Other chronic obstructive pulmonary disease) chronic obstructive pulmonary disease 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004536/ScoringFiles/PGS004536.txt.gz
PGS012564
(GRS22_COPD)
 PGP000808 |
Li J et al. BMC Med (2024)
 Chronic obstructive pulmonary disease chronic obstructive pulmonary disease 22
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012564/ScoringFiles/PGS012564.txt.gz
PGS018465
(TPMI_149_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of larynx pharynx nasal cavities larynx cancer 4
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018465/ScoringFiles/PGS018465.txt.gz
PGS018466
(TPMI_149_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of larynx pharynx nasal cavities larynx cancer 939,820
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018466/ScoringFiles/PGS018466.txt.gz
PGS018467
(TPMI_149_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of larynx pharynx nasal cavities larynx cancer 15,690
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018467/ScoringFiles/PGS018467.txt.gz
PGS018468
(TPMI_149_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of larynx pharynx nasal cavities larynx cancer 983,777
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018468/ScoringFiles/PGS018468.txt.gz
PGS018469
(TPMI_149_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of larynx pharynx nasal cavities larynx cancer 1,000,712
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018469/ScoringFiles/PGS018469.txt.gz
PGS018470
(TPMI_149.2_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of nasopharynx malignant tumor of nasopharynx 211
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018470/ScoringFiles/PGS018470.txt.gz
PGS018471
(TPMI_149.2_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of nasopharynx malignant tumor of nasopharynx 45,670
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018471/ScoringFiles/PGS018471.txt.gz
PGS018472
(TPMI_149.2_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of nasopharynx malignant tumor of nasopharynx 10,449
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018472/ScoringFiles/PGS018472.txt.gz
PGS018473
(TPMI_149.2_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of nasopharynx malignant tumor of nasopharynx 983,776
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018473/ScoringFiles/PGS018473.txt.gz
PGS018474
(TPMI_149.2_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Cancer of nasopharynx malignant tumor of nasopharynx 1,005,312
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018474/ScoringFiles/PGS018474.txt.gz
PGS019265
(TPMI_472_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic pharyngitis and nasopharyngitis pharyngitis 742,330
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019265/ScoringFiles/PGS019265.txt.gz
PGS019266
(TPMI_472_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic pharyngitis and nasopharyngitis pharyngitis 939,806
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019266/ScoringFiles/PGS019266.txt.gz
PGS019267
(TPMI_472_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic pharyngitis and nasopharyngitis pharyngitis 666,847
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019267/ScoringFiles/PGS019267.txt.gz
PGS019268
(TPMI_472_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic pharyngitis and nasopharyngitis pharyngitis 983,764
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019268/ScoringFiles/PGS019268.txt.gz
PGS019269
(TPMI_472_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic pharyngitis and nasopharyngitis pharyngitis 994,353
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019269/ScoringFiles/PGS019269.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
PPM001045 PGS000360
(PRSWEB_PHECODE149.4_C32_LASSOSUM_MGI_20200608)
 PSS000536|
European Ancestry|
1,738 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of larynx OR: 1.282 [1.09, 1.508]
β: 0.249 (0.0827)		 AUROC: 0.57 [0.522, 0.618] Nagelkerke's Pseudo-R²: 0.0112
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 2.14 [0.649, 7.06]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE149.4_C32_LASSOSUM_MGI_20200608
PPM001046 PGS000361
(PRSWEB_PHECODE149.4_C3-LARYNX_LASSOSUM_MGI_20200608)
 PSS000536|
European Ancestry|
1,738 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of larynx OR: 1.195 [1.014, 1.408]
β: 0.178 (0.0836)		 AUROC: 0.55 [0.504, 0.593] Nagelkerke's Pseudo-R²: 0.00551
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.51 [0.382, 5.94]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE149.4_C3-LARYNX_LASSOSUM_MGI_20200608
PPM001047 PGS000362
(PRSWEB_PHECODE149.4_UKBB-SAIGE-HRC-X149.4_PT_MGI_20200608)
 PSS000536|
European Ancestry|
1,738 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of larynx OR: 1.195 [1.023, 1.396]
β: 0.178 (0.0793)		 AUROC: 0.543 [0.494, 0.59] Nagelkerke's Pseudo-R²: 0.00609
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.52 [0.384, 5.98]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE149.4_UKBB-SAIGE-HRC-X149.4_PT_MGI_20200608
PPM001073 PGS000388
(PRSWEB_PHECODE165.1_C3-BRONCHUS-LUNG_PRS-CS_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.132 [1.024, 1.25]
β: 0.124 (0.0508)		 AUROC: 0.533 [0.505, 0.562] Nagelkerke's Pseudo-R²: 0.00265
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.96 [0.926, 4.14]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_C3-BRONCHUS-LUNG_PRS-CS_MGI_20200608
PPM001074 PGS000389
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.11 [1.006, 1.225]
β: 0.105 (0.0501)		 AUROC: 0.52 [0.492, 0.547] Nagelkerke's Pseudo-R²: 0.00202
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 2.19 [1.07, 4.49]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_MGI_20200608
PPM001075 PGS000390
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_UKB_20200608)
 PSS000566|
European Ancestry|
12,201 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.194 [1.124, 1.269]
β: 0.178 (0.0309)		 AUROC: 0.543 [0.526, 0.562] Nagelkerke's Pseudo-R²: 0.00583
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 0.852 [0.437, 1.66]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_UKB_20200608
PPM001076 PGS000391
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.12 [1.015, 1.237]
β: 0.114 (0.0507)		 AUROC: 0.529 [0.503, 0.558] Nagelkerke's Pseudo-R²: 0.00234
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.75 [0.796, 3.85]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_MGI_20200608
PPM020287 PGS000391
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_MGI_20200608)
 PSS011324|
European Ancestry|
1,202 individuals
 PGP000539 |
Lebrett MB et al. Genet Med (2023)
|Ext.		 Reported Trait: Lung cancer — AUROC: 0.731 [0.703, 0.759] — Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio —
PPM001077 PGS000392
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608)
 PSS000566|
European Ancestry|
12,201 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.221 [1.149, 1.298]
β: 0.2 (0.0313)		 AUROC: 0.552 [0.534, 0.569] Nagelkerke's Pseudo-R²: 0.00728
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.94 [1.22, 3.1]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608
PPM020288 PGS000392
(PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608)
 PSS011324|
European Ancestry|
1,202 individuals
 PGP000539 |
Lebrett MB et al. Genet Med (2023)
|Ext.		 Reported Trait: Lung cancer — AUROC: 0.733 [0.705, 0.761] — Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio —
PPM001078 PGS000393
(PRSWEB_PHECODE165.1_LUNG-CANCER_PRS-CS_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.149 [1.04, 1.269]
β: 0.139 (0.0509)		 AUROC: 0.539 [0.508, 0.568] Nagelkerke's Pseudo-R²: 0.00329
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.18 [1.06, 4.46]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_LUNG-CANCER_PRS-CS_MGI_20200608
PPM001079 PGS000394
(PRSWEB_PHECODE165.1_LUNG-CANCER-MESOT_PRS-CS_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.149 [1.04, 1.269]
β: 0.139 (0.0509)		 AUROC: 0.539 [0.508, 0.568] Nagelkerke's Pseudo-R²: 0.00329
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.18 [1.06, 4.46]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_LUNG-CANCER-MESOT_PRS-CS_MGI_20200608
PPM001080 PGS000395
(PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PRS-CS_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.133 [1.025, 1.252]
β: 0.125 (0.051)		 AUROC: 0.533 [0.505, 0.562] Nagelkerke's Pseudo-R²: 0.00277
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.27 [0.514, 3.12]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PRS-CS_MGI_20200608
PPM001081 PGS000396
(PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PT_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.121 [1.015, 1.238]
β: 0.114 (0.0507)		 AUROC: 0.525 [0.496, 0.554] Nagelkerke's Pseudo-R²: 0.00233
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 2.21 [1.08, 4.51]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PT_MGI_20200608
PPM001082 PGS000397
(PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_LASSOSUM_MGI_20200608)
 PSS000541|
European Ancestry|
4,698 individuals
 PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
 Reported Trait: Cancer of bronchus; lung OR: 1.114 [1.009, 1.23]
β: 0.108 (0.0507)		 AUROC: 0.528 [0.503, 0.556] Nagelkerke's Pseudo-R²: 0.00202
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.03 [0.387, 2.77]		 age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_LASSOSUM_MGI_20200608
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
PPM009117 PGS001326
(GBE_HC431)
 PSS004496|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Emphysema — AUROC: 0.79508 [0.66687, 0.92329] R²: 0.11615
Incremental AUROC (full-covars): -0.00299
PGS R2 (no covariates): 6e-05
PGS AUROC (no covariates): 0.54363 [0.35853, 0.72873]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009118 PGS001326
(GBE_HC431)
 PSS004497|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Emphysema — AUROC: 0.98854 [0.98287, 0.99422] R²: 0.35967
Incremental AUROC (full-covars): 0.00059
PGS R2 (no covariates): 0.01376
PGS AUROC (no covariates): 0.67098 [0.43987, 0.90208]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009119 PGS001326
(GBE_HC431)
 PSS004498|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Emphysema — AUROC: 0.7867 [0.75313, 0.82026] R²: 0.09488
Incremental AUROC (full-covars): -0.00065
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.49994 [0.45601, 0.54388]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009120 PGS001326
(GBE_HC431)
 PSS004499|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Emphysema — AUROC: 0.78275 [0.67463, 0.89087] R²: 0.0813
Incremental AUROC (full-covars): 0.00398
PGS R2 (no covariates): 0.00648
PGS AUROC (no covariates): 0.59809 [0.42688, 0.7693]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009121 PGS001326
(GBE_HC431)
 PSS004500|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Emphysema — AUROC: 0.72797 [0.70437, 0.75156] R²: 0.05838
Incremental AUROC (full-covars): 0.00547
PGS R2 (no covariates): 0.00531
PGS AUROC (no covariates): 0.56911 [0.54137, 0.59684]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009146 PGS001332
(GBE_HC442)
 PSS004506|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic obstructive airways disease/copd — AUROC: 0.75825 [0.69744, 0.81905] R²: 0.08985
Incremental AUROC (full-covars): 0.00297
PGS R2 (no covariates): 0.00366
PGS AUROC (no covariates): 0.56943 [0.4939, 0.64496]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009147 PGS001332
(GBE_HC442)
 PSS004507|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic obstructive airways disease/copd — AUROC: 0.93404 [0.85456, 1.0] R²: 0.35918
Incremental AUROC (full-covars): 0.00775
PGS R2 (no covariates): 0.05713
PGS AUROC (no covariates): 0.78102 [0.65685, 0.90519]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009148 PGS001332
(GBE_HC442)
 PSS004508|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic obstructive airways disease/copd — AUROC: 0.75808 [0.74076, 0.77539] R²: 0.10489
Incremental AUROC (full-covars): 0.0013
PGS R2 (no covariates): 0.00194
PGS AUROC (no covariates): 0.53674 [0.51446, 0.55902]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009149 PGS001332
(GBE_HC442)
 PSS004509|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic obstructive airways disease/copd — AUROC: 0.74266 [0.70089, 0.78443] R²: 0.08552
Incremental AUROC (full-covars): -0.00028
PGS R2 (no covariates): 0.00048
PGS AUROC (no covariates): 0.51815 [0.46516, 0.57113]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009150 PGS001332
(GBE_HC442)
 PSS004510|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic obstructive airways disease/copd — AUROC: 0.73063 [0.71971, 0.74156] R²: 0.08401
Incremental AUROC (full-covars): 0.003
PGS R2 (no covariates): 0.00235
PGS AUROC (no covariates): 0.53971 [0.52633, 0.5531]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009151 PGS001333
(GBE_HC1582)
 PSS004297|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD chronic obstructive pulmonary disease — AUROC: 0.68968 [0.6281, 0.75125] R²: 0.05389
Incremental AUROC (full-covars): -0.00542
PGS R2 (no covariates): 5e-05
PGS AUROC (no covariates): 0.49374 [0.43492, 0.55257]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009152 PGS001333
(GBE_HC1582)
 PSS004298|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD chronic obstructive pulmonary disease — AUROC: 0.77182 [0.67988, 0.86376] R²: 0.12635
Incremental AUROC (full-covars): -0.00429
PGS R2 (no covariates): 0.00238
PGS AUROC (no covariates): 0.55811 [0.43123, 0.68498]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009153 PGS001333
(GBE_HC1582)
 PSS004299|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD chronic obstructive pulmonary disease — AUROC: 0.71622 [0.70023, 0.7322] R²: 0.08141
Incremental AUROC (full-covars): 0.00289
PGS R2 (no covariates): 0.00236
PGS AUROC (no covariates): 0.53939 [0.52155, 0.55723]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009154 PGS001333
(GBE_HC1582)
 PSS004300|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD chronic obstructive pulmonary disease — AUROC: 0.71121 [0.67474, 0.74767] R²: 0.06785
Incremental AUROC (full-covars): 0.00468
PGS R2 (no covariates): 0.00251
PGS AUROC (no covariates): 0.53996 [0.49615, 0.58377]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009155 PGS001333
(GBE_HC1582)
 PSS004301|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: AD chronic obstructive pulmonary disease — AUROC: 0.70059 [0.69045, 0.71072] R²: 0.06924
Incremental AUROC (full-covars): 0.0031
PGS R2 (no covariates): 0.00218
PGS AUROC (no covariates): 0.5364 [0.52484, 0.54796]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009156 PGS001334
(GBE_HC1035)
 PSS004079|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE other chronic obstructive pulmonary disease — AUROC: 0.75968 [0.69978, 0.81959] R²: 0.09174
Incremental AUROC (full-covars): -0.0023
PGS R2 (no covariates): 0.00029
PGS AUROC (no covariates): 0.4865 [0.41003, 0.56298]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009157 PGS001334
(GBE_HC1035)
 PSS004080|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE other chronic obstructive pulmonary disease — AUROC: 0.92777 [0.86245, 0.9931] R²: 0.33262
Incremental AUROC (full-covars): 0.00135
PGS R2 (no covariates): 0.00048
PGS AUROC (no covariates): 0.52185 [0.32406, 0.71963]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009158 PGS001334
(GBE_HC1035)
 PSS004081|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE other chronic obstructive pulmonary disease — AUROC: 0.75602 [0.73955, 0.77249] R²: 0.10564
Incremental AUROC (full-covars): 0.00136
PGS R2 (no covariates): 0.00195
PGS AUROC (no covariates): 0.53598 [0.51506, 0.55689]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009159 PGS001334
(GBE_HC1035)
 PSS004082|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE other chronic obstructive pulmonary disease — AUROC: 0.74851 [0.70987, 0.78716] R²: 0.09156
Incremental AUROC (full-covars): 0.00157
PGS R2 (no covariates): 0.00202
PGS AUROC (no covariates): 0.53954 [0.49035, 0.58873]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009160 PGS001334
(GBE_HC1035)
 PSS004083|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE other chronic obstructive pulmonary disease — AUROC: 0.72542 [0.71492, 0.73591] R²: 0.0827
Incremental AUROC (full-covars): 0.00368
PGS R2 (no covariates): 0.00314
PGS AUROC (no covariates): 0.54658 [0.5339, 0.55926]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009312 PGS001783
(1kgeur_gbmi_COPD_pst_eff_a1_b0.5_phiauto)
 PSS007694|
European Ancestry|
7,128 individuals
 PGP000262 |
Wang Y et al. Cell Genom (2023)
 Reported Trait: Chronic obstructive pulmonary disease — AUROC: 0.74 Nagelkerke's R2 (covariates regressed out): 0.03809 sex,age, 20PCs —
PPM009292 PGS001788
(1kgeur_gbmi_leaveUKBBout_COPD_pst_eff_a1_b0.5_phiauto)
 PSS007711|
European Ancestry|
337,168 individuals
 PGP000262 |
Wang Y et al. Cell Genom (2023)
 Reported Trait: Chronic obstructive pulmonary disease — AUROC: 0.715 Nagelkerke's R2 (covariates regressed out): 0.0163 sex,age,age2,age*sex,age^2*sex, 20PCs —
PPM009690 PGS001850
(portability-PLR_496)
 PSS009325|
European Ancestry|
18,735 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0241 [0.0098, 0.0384] sex, age, birth date, deprivation index, 16 PCs —
PPM009691 PGS001850
(portability-PLR_496)
 PSS009099|
European Ancestry|
3,959 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0029 [-0.0284, 0.0341] sex, age, birth date, deprivation index, 16 PCs —
PPM009692 PGS001850
(portability-PLR_496)
 PSS008653|
European Ancestry|
6,311 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0292 [0.0045, 0.0539] sex, age, birth date, deprivation index, 16 PCs —
PPM009694 PGS001850
(portability-PLR_496)
 PSS008207|
South Asian Ancestry|
5,753 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): -0.0056 [-0.0315, 0.0203] sex, age, birth date, deprivation index, 16 PCs —
PPM009697 PGS001850
(portability-PLR_496)
 PSS008876|
African Ancestry|
3,652 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): -0.0066 [-0.0391, 0.0259] sex, age, birth date, deprivation index, 16 PCs —
PPM009693 PGS001850
(portability-PLR_496)
 PSS008427|
Greater Middle Eastern Ancestry|
1,122 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0083 [-0.0508, 0.0673] sex, age, birth date, deprivation index, 16 PCs —
PPM009695 PGS001850
(portability-PLR_496)
 PSS007989|
East Asian Ancestry|
1,729 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): -0.017 [-0.0644, 0.0304] sex, age, birth date, deprivation index, 16 PCs —
PPM009696 PGS001850
(portability-PLR_496)
 PSS007772|
African Ancestry|
2,270 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0156 [-0.0258, 0.0569] sex, age, birth date, deprivation index, 16 PCs —
PPM011359 PGS002062
(portability-ldpred2_496)
 PSS009099|
European Ancestry|
3,959 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0118 [-0.0194, 0.043] sex, age, birth date, deprivation index, 16 PCs —
PPM011360 PGS002062
(portability-ldpred2_496)
 PSS008653|
European Ancestry|
6,311 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0499 [0.0252, 0.0745] sex, age, birth date, deprivation index, 16 PCs —
PPM011361 PGS002062
(portability-ldpred2_496)
 PSS008427|
Greater Middle Eastern Ancestry|
1,122 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0345 [-0.0246, 0.0933] sex, age, birth date, deprivation index, 16 PCs —
PPM011362 PGS002062
(portability-ldpred2_496)
 PSS008207|
South Asian Ancestry|
5,753 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0272 [0.0013, 0.053] sex, age, birth date, deprivation index, 16 PCs —
PPM011363 PGS002062
(portability-ldpred2_496)
 PSS007989|
East Asian Ancestry|
1,729 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): -0.0227 [-0.07, 0.0248] sex, age, birth date, deprivation index, 16 PCs —
PPM011364 PGS002062
(portability-ldpred2_496)
 PSS007772|
African Ancestry|
2,270 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.0422 sex, age, birth date, deprivation index, 16 PCs —
PPM011365 PGS002062
(portability-ldpred2_496)
 PSS008876|
African Ancestry|
3,652 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): -0.0266 [-0.0591, 0.0059] sex, age, birth date, deprivation index, 16 PCs —
PPM011358 PGS002062
(portability-ldpred2_496)
 PSS009325|
European Ancestry|
18,735 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Chronic airway obstruction — — Partial Correlation (partial-r): 0.047 [0.0327, 0.0613] sex, age, birth date, deprivation index, 16 PCs —
PPM013010 PGS002291
(PRS12_NPC)
 PSS009646|
East Asian Ancestry|
2,893 individuals
 PGP000320 |
He YQ et al. Nat Commun (2022)
 Reported Trait: Nasopharyngeal carcinoma — AUROC: 0.64 — — —
PPM013011 PGS002291
(PRS12_NPC)
 PSS009646|
East Asian Ancestry|
2,893 individuals
 PGP000320 |
He YQ et al. Nat Commun (2022)
 Reported Trait: Nasopharyngeal carcinoma — AUROC: 0.69 — Family history of NPC —
PPM022453 PGS002291
(PRS12_NPC)
 PSS011948|
East Asian Ancestry|
4,804 individuals
 PGP000714 |
Diao H et al. J Med Virol (2023)
|Ext.		 Reported Trait: Nasopharyngeal carcinoma — — Odds ratio (OR, high vs low tertile): 2.57 [2.28, 2.9] — —
PPM022454 PGS002291
(PRS12_NPC)
 PSS011948|
East Asian Ancestry|
4,804 individuals
 PGP000714 |
Diao H et al. J Med Virol (2023)
|Ext.		 Reported Trait: Nasopharyngeal carcinoma x VCA-IgA interaction — — Odds ratio (OR, positive VCA-IgA and high PRS vs. negative VCA-IgA and low PRS): 257.96 [178.2, 386.23]
Synergy index (SI): 3.1 [2.17, 4.44]		 — —
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 — — — —
PPM020581 PGS004466
(disease.J44.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: J44 (Other chronic obstructive pulmonary disease) OR: 1.30839 — — — —
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 — — — —
PPM020651 PGS004536
(meta.J44.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: J44 (Other chronic obstructive pulmonary disease) OR: 1.48758 — — — —
PPM030710 PGS012564
(GRS22_COPD)
 PSS012261|
European Ancestry|
277,059 individuals
 PGP000808 |
Li J et al. BMC Med (2024)
 Reported Trait: Incident COPD HR: 1.09 [1.06, 1.12] — — age, sex, and the first 10 principal components of ancestry —
PPM030711 PGS012564
(GRS22_COPD)
 PSS012261|
European Ancestry|
277,059 individuals
 PGP000808 |
Li J et al. BMC Med (2024)
 Reported Trait: Incident COPD x current work schedule interaction — — Hazard ratio (HR, usual/permanent night shift and high PRS vs. day workers and low PRS): 1.9 [1.63, 2.22] age, sex, BMI, Townsend deprivation index, sleep duration, smoking status, alcohol drinking, IPAQ activity group, chronotype, asthma —
PPM036647 PGS018465
(TPMI_149_Lassosum2)
 PSS012373|
East Asian Ancestry|
19,194 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of larynx pharynx nasal cavities — AUROC: 0.72273 R²: 0.03266 sex, age, array, PCs 1-10 —
PPM036648 PGS018466
(TPMI_149_LDpred2)
 PSS012372|
East Asian Ancestry|
19,194 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of larynx pharynx nasal cavities — AUROC: 0.72128 R²: 0.03204 sex, age, array, PCs 1-10 —
PPM036649 PGS018467
(TPMI_149_MegaPRS)
 PSS012374|
East Asian Ancestry|
19,194 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of larynx pharynx nasal cavities — AUROC: 0.7201 R²: 0.03195 sex, age, array, PCs 1-10 —
PPM036650 PGS018468
(TPMI_149_PRS-CS)
 PSS012375|
East Asian Ancestry|
19,194 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of larynx pharynx nasal cavities — AUROC: 0.71945 R²: 0.03162 sex, age, array, PCs 1-10 —
PPM036651 PGS018469
(TPMI_149_SBayesR)
 PSS012376|
East Asian Ancestry|
19,194 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of larynx pharynx nasal cavities — AUROC: 0.71838 R²: 0.03124 sex, age, array, PCs 1-10 —
PPM036652 PGS018470
(TPMI_149.2_Lassosum2)
 PSS012368|
East Asian Ancestry|
19,070 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of nasopharynx — AUROC: 0.7073 R²: 0.01637 sex, age, array, PCs 1-10 —
PPM036653 PGS018471
(TPMI_149.2_LDpred2)
 PSS012367|
East Asian Ancestry|
19,070 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of nasopharynx — AUROC: 0.71186 R²: 0.01717 sex, age, array, PCs 1-10 —
PPM036654 PGS018472
(TPMI_149.2_MegaPRS)
 PSS012369|
East Asian Ancestry|
19,070 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of nasopharynx — AUROC: 0.69527 R²: 0.01463 sex, age, array, PCs 1-10 —
PPM036655 PGS018473
(TPMI_149.2_PRS-CS)
 PSS012370|
East Asian Ancestry|
19,070 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of nasopharynx — AUROC: 0.70955 R²: 0.0161 sex, age, array, PCs 1-10 —
PPM036656 PGS018474
(TPMI_149.2_SBayesR)
 PSS012371|
East Asian Ancestry|
19,070 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Cancer of nasopharynx — AUROC: 0.69866 R²: 0.01489 sex, age, array, PCs 1-10 —
PPM037447 PGS019265
(TPMI_472_Lassosum2)
 PSS013168|
East Asian Ancestry|
15,996 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic pharyngitis and nasopharyngitis — AUROC: 0.65457 R²: 0.07566 sex, age, array, PCs 1-10 —
PPM037448 PGS019266
(TPMI_472_LDpred2)
 PSS013167|
East Asian Ancestry|
15,996 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic pharyngitis and nasopharyngitis — AUROC: 0.65289 R²: 0.07467 sex, age, array, PCs 1-10 —
PPM037449 PGS019267
(TPMI_472_MegaPRS)
 PSS013169|
East Asian Ancestry|
15,996 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic pharyngitis and nasopharyngitis — AUROC: 0.65281 R²: 0.07434 sex, age, array, PCs 1-10 —
PPM037450 PGS019268
(TPMI_472_PRS-CS)
 PSS013170|
East Asian Ancestry|
15,996 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic pharyngitis and nasopharyngitis — AUROC: 0.65155 R²: 0.07394 sex, age, array, PCs 1-10 —
PPM037451 PGS019269
(TPMI_472_SBayesR)
 PSS013171|
East Asian Ancestry|
15,996 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic pharyngitis and nasopharyngitis — AUROC: 0.65286 R²: 0.07462 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 —
PSS008653 — — 6,311 individuals — European Italy (South Europe) UKB —
PSS000566 PheCode:165.1; ICD9:162, 162.0, 162.2, 162.3, 162.4, 162.5, 162.8, 162.9, 231.2; ICD10:C33, C34.0, C34.1, C34.2, C34.3, C34.8, C34.9, D02.2 —
[
  • 1,109 cases
  • , 11,092 controls
]
 — European — UKB —
PSS004297 — —
[
  • 89 cases
  • , 6,408 controls
]
 — African unspecified — UKB —
PSS004298 — —
[
  • 17 cases
  • , 1,687 controls
]
 — East Asian — UKB —
PSS004299 — —
[
  • 1,002 cases
  • , 23,903 controls
]
 — European non-white British ancestry UKB —
PSS004300 — —
[
  • 186 cases
  • , 7,645 controls
]
 — South Asian — UKB —
PSS004301 — —
[
  • 2,525 cases
  • , 64,900 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007772 — — 2,270 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008427 — — 1,122 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
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)
PSS009325 — — 18,735 individuals — European UK (+ Ireland) UKB —
PSS011948 — —
[
  • 2,393 cases
  • , 2,411 controls
]
 — East Asian — EPI-NPC-2005, NPCGEE —
PSS004079 — —
[
  • 63 cases
  • , 6,434 controls
]
 — African unspecified — UKB —
PSS004080 — —
[
  • 7 cases
  • , 1,697 controls
]
 — East Asian — UKB —
PSS004081 — —
[
  • 754 cases
  • , 24,151 controls
]
 — European non-white British ancestry UKB —
PSS004082 — —
[
  • 148 cases
  • , 7,683 controls
]
 — South Asian — UKB —
PSS004083 — —
[
  • 2,080 cases
  • , 65,345 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007694 — —
[
  • 132 cases
  • , 6,995 controls
]
 — European — CanPath —
PSS012369 147,C11 —
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012370 147,C11 —
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012371 147,C11 —
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS009646 — —
[
  • 1,304 cases
  • , 1,589 controls
]
 — East Asian — NR —
PSS009099 — — 3,959 individuals — European Poland (NE Europe) UKB —
PSS012376 146, 147, 148, 149, 160, 161, 231.0, V10.02, V10.21, V10.22,C09, C10, C11, C12, C13, C14, C30.0, C30.1, C31, C32, D02.0 —
[
  • 335 cases
  • , 18,859 controls
]
,
45.45 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS007711 — —
[
  • 12,063 cases
  • , 325,104 controls
]
 — European — UKB —
PSS008207 — — 5,753 individuals — South Asian India (South Asia) UKB —
PSS012367 147,C11 —
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012368 147,C11 —
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS004496 — —
[
  • 16 cases
  • , 6,481 controls
]
 — African unspecified — UKB —
PSS004497 — —
[
  • 2 cases
  • , 1,702 controls
]
 — East Asian — UKB —
PSS004498 — —
[
  • 149 cases
  • , 24,756 controls
]
 — European non-white British ancestry UKB —
PSS004499 — —
[
  • 11 cases
  • , 7,820 controls
]
 — South Asian — UKB —
PSS004500 — —
[
  • 429 cases
  • , 66,996 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS012373 146, 147, 148, 149, 160, 161, 231.0, V10.02, V10.21, V10.22,C09, C10, C11, C12, C13, C14, C30.0, C30.1, C31, C32, D02.0 —
[
  • 335 cases
  • , 18,859 controls
]
,
45.45 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012372 146, 147, 148, 149, 160, 161, 231.0, V10.02, V10.21, V10.22,C09, C10, C11, C12, C13, C14, C30.0, C30.1, C31, C32, D02.0 —
[
  • 335 cases
  • , 18,859 controls
]
,
45.45 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS011364 — — 56,192 individuals — European — UKB —
PSS012374 146, 147, 148, 149, 160, 161, 231.0, V10.02, V10.21, V10.22,C09, C10, C11, C12, C13, C14, C30.0, C30.1, C31, C32, D02.0 —
[
  • 335 cases
  • , 18,859 controls
]
,
45.45 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012375 146, 147, 148, 149, 160, 161, 231.0, V10.02, V10.21, V10.22,C09, C10, C11, C12, C13, C14, C30.0, C30.1, C31, C32, D02.0 —
[
  • 335 cases
  • , 18,859 controls
]
,
45.45 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS004506 — —
[
  • 58 cases
  • , 6,439 controls
]
 — African unspecified — UKB —
PSS004507 — —
[
  • 6 cases
  • , 1,698 controls
]
 — East Asian — UKB —
PSS004508 — —
[
  • 671 cases
  • , 24,234 controls
]
 — European non-white British ancestry UKB —
PSS004509 — —
[
  • 130 cases
  • , 7,701 controls
]
 — South Asian — UKB —
PSS004510 — —
[
  • 1,860 cases
  • , 65,565 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
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)
PSS008876 — — 3,652 individuals — African unspecified Nigeria (West Africa) UKB —
PSS012261 — — 277,059 individuals,
48.03 % Male samples
 Mean = 52.71 years
Sd = 7.08 years		 European — UKB —
PSS000536 PheCode:149.4; ICD9CM:161.0, 161.1, 161.2, 161.3, 161.8, 161.9, 231.0, V10.21; ICD10CM:C32, C32.0, C32.1, C32.2, C32.3, C32.8, C32.9, D02.0 —
[
  • 158 cases
  • , 1,580 controls
]
 — European — MGI —
PSS007989 — — 1,729 individuals — East Asian China (East Asia) UKB —
PSS013167 472,J31 —
[
  • 570 cases
  • , 15,426 controls
]
,
46.43 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS000541 PheCode:165.1; ICD9CM:162.0, 162.2, 162.3, 162.4, 162.5, 162.8, 162.9, 209.21, 231.2, V10.11; ICD10CM:C33, C34, C34.0, C34.00, C34.01, C34.02, C34.1, C34.10, C34.11, C34.12, C34.2, C34.3, C34.30, C34.31, C34.32, C34.8, C34.80, C34.81, C34.82, C34.9, C34.90, C34.91, C34.92, C7A.090, D02.2, D02.20, D02.21, D02.22 —
[
  • 428 cases
  • , 4,270 controls
]
 — European — MGI —
PSS013168 472,J31 —
[
  • 570 cases
  • , 15,426 controls
]
,
46.43 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013169 472,J31 —
[
  • 570 cases
  • , 15,426 controls
]
,
46.43 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013170 472,J31 —
[
  • 570 cases
  • , 15,426 controls
]
,
46.43 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013171 472,J31 —
[
  • 570 cases
  • , 15,426 controls
]
,
46.43 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS011324 — —
[
  • 652 cases
  • , 550 controls
]
,
47.0 % Male samples
 Median = 65.0 years European — MCRC —
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 —