Trait: respiratory system disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0000684
Description A non-neoplastic or neoplastic disorder that affects the respiratory system. Representative examples include pneumonia, chronic obstructive pulmonary disease, pulmonary failure, lung adenoma, lung carcinoma, and tracheal carcinoma. [NCIT: C26871]
Trait category
Other disease
Synonyms 60 synonyms
  • ALVEOL PNEUMONOPATHY NEC
  • ALVEOL PNEUMONOPATHY NOS
  • CHR PUL MANIF D/T RADIAT
  • Chronic and other pulmonary manifestations due to radiation
  • DISEASES OF THE RESPIRATORY SYSTEM
  • Disease of respiratory system
  • Disease of respiratory system (disorder)
  • Disease of respiratory system, NOS
  • Disorder of respiratory system
  • Disorder of respiratory system (disorder)
  • INORG DUST PNEUMOCON NEC
  • LUNG INVOLV IN OTH DIS
  • Lung involvement in conditions classified elsewhere
  • Lung involvement in other diseases classified elsewhere
  • MEDIASTINUM DISEASE NEC
  • Other alveolar and parietoalveolar pneumonopathy
  • Other diseases of mediastinum, not elsewhere classified
  • Other diseases of respiratory system
  • Other diseases of respiratory system NOS
  • Other diseases of respiratory system NOS (disorder)
  • Other diseases of respiratory system, not elsewhere classified
  • Other diseases of trachea and bronchus, not elsewhere classified
  • Other respiratory system diseases
  • Other respiratory system diseases (disorder)
  • Other respiratory system diseases NOS
  • Other respiratory system diseases NOS (disorder)
  • Other specified alveolar and parietoalveolar pneumonopathies
  • PNEUMOCONIOSES AND OTHER LUNG DISEASES DUE TO EXTERNAL AGENTS
  • Pneumoconiosis due to other inorganic dust
  • RESP COND: EXT AGENT NEC
  • RESP COND: EXT AGENT NOS
  • RESP SYSTEM DISEASE NEC
  • RESP SYSTEM DISEASE NOS
  • Respiratory System Disorder
  • Respiratory conditions due to other and unspecified external agents
  • Respiratory conditions due to other specified external agents
  • Respiratory conditions due to unspecified external agent
  • Respiratory disease
  • Respiratory disorder
  • Respiratory disorder, NOS
  • Respiratory system diseases NOS
  • Respiratory system diseases NOS (disorder)
  • Unspecified alveolar and parietoalveolar pneumonopathy
  • Unspecified disease of respiratory system
  • [X]Chronic and other pulmonary manifestations due to radiation
  • [X]Chronic and other pulmonary manifestations due to radiation (disorder)
  • [X]Other diseases of the respiratory system
  • [X]Other diseases of the respiratory system (disorder)
  • [X]Respiratory conditions due to other specified external agents
  • [X]Respiratory conditions due to other specified external agents (disorder)
  • [X]Respiratory conditions due to unspecified external agent
  • [X]Respiratory conditions due to unspecified external agent (disorder)
  • disease of respiratory system
  • disease or disorder of respiratory system
  • disorder of respiratory system
  • respiratory disease
  • respiratory disorder
  • respiratory system disease
  • respiratory system disease or disorder
  • respiratory system disorder
Mapped terms 34 mapped terms
  • DOID:1579
  • ICD10:J06
  • ICD10:J34
  • ICD10:J39
  • ICD10:J63
  • ICD10:J98
  • ICD10:J99
  • ICD10CM:J00-J99
  • ICD9:460-519.99
  • ICD9:500-508.99
  • ICD9:503
  • ICD9:508
  • ICD9:508.1
  • ICD9:508.8
  • ICD9:508.9
  • ICD9:510-519.99
  • ICD9:516
  • ICD9:516.8
  • ICD9:516.9
  • ICD9:517
  • ICD9:517.8
  • ICD9:519
  • ICD9:519.1
  • ICD9:519.3
  • ICD9:519.8
  • ICD9:519.9
  • ICD9:V12.60
  • ICD9:V47.2
  • MESH:D012140
  • MONDO:0005087
  • NCIT:C26871
  • NCIt:C26871
  • SCTID:50043002
  • SNOMEDCT:50043002
Child trait(s) 20 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 all PGS for "respiratory system disease" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000037
(PGS_AST)
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Asthma asthma 15
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000037/ScoringFiles/PGS000037.txt.gz
PGS000070
(PRS_LC_C)
PGP000049 |
Dai J et al. Lancet Respir Med (2019)
Lung cancer lung adenocarcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000070/ScoringFiles/PGS000070.txt.gz
PGS000078
(CC_Lung)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Lung cancer lung carcinoma 109
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000078/ScoringFiles/PGS000078.txt.gz
PGS000081
(CC_Oral)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Oral cavity and pharyngeal cancers oral cavity cancer,
pharynx cancer
14
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000081/ScoringFiles/PGS000081.txt.gz
PGS000156
(cGRS_Lung)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Lung cancer lung carcinoma 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000156/ScoringFiles/PGS000156.txt.gz
PGS000341
(GRS33_SSc)
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Systemic sclerosis systemic scleroderma 33
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000341/ScoringFiles/PGS000341.txt.gz
PGS000360
(PRSWEB_PHECODE149.4_C32_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Cancer of larynx Malignant Laryngeal Neoplasm 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)
Cancer of larynx Malignant Laryngeal Neoplasm 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)
Cancer of larynx Malignant Laryngeal Neoplasm 53
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000362/ScoringFiles/PGS000362.txt.gz
PGS000387
(PRSWEB_PHECODE165_UKBB-SAIGE-HRC-X165_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Cancer within the respiratory system respiratory system cancer 879,334
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000387/ScoringFiles/PGS000387.txt.gz
PGS000388
(PRSWEB_PHECODE165.1_C3-BRONCHUS-LUNG_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung 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)
Cancer of bronchus; lung tracheal cancer,
bronchus cancer,
lung cancer
46,920
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000397/ScoringFiles/PGS000397.txt.gz
PGS000721
(PRS_Lung)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Lung cancer lung carcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000721/ScoringFiles/PGS000721.txt.gz
PGS000740
(PRS128_LC)
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Lung cancer lung carcinoma 128
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000740/ScoringFiles/PGS000740.txt.gz
PGS000789
(CC_Lung_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Lung cancer lung carcinoma 109
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000789/ScoringFiles/PGS000789.txt.gz
PGS000792
(CC_Oral_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Oral cavity and pharyngeal cancers oral cavity cancer,
pharynx cancer
14
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000792/ScoringFiles/PGS000792.txt.gz
PGS000799
(GRSw_TAGC)
PGP000189 |
Dijk FN et al. J Allergy Clin Immunol (2019)
Asthma asthma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000799/ScoringFiles/PGS000799.txt.gz
PGS000880
(PRS18_LC)
PGP000226 |
Xie J et al. Sleep (2021)
Lung cancer lung carcinoma 18
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000880/ScoringFiles/PGS000880.txt.gz
PGS000925
(GBE_HC1020)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Unspecified acute lower respiratory infection (time-to-event) respiratory tract infectious disorder 402
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000925/ScoringFiles/PGS000925.txt.gz
PGS001030
(GBE_HC84)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Pulmonary fibrosis pulmonary fibrosis 51
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001030/ScoringFiles/PGS001030.txt.gz
PGS001109
(GBE_HC1021)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Vasomotor and allergic rhinitis (time-to-event) allergic rhinitis,
vasomotor rhinitis
1,910
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001109/ScoringFiles/PGS001109.txt.gz
PGS001251
(GBE_HC1052)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other interstitial pulmonary diseases (time-to-event) interstitial lung disease 57
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001251/ScoringFiles/PGS001251.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 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
PGS001341
(GBE_HC382)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Asthma asthma 6,430
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001341/ScoringFiles/PGS001341.txt.gz
PGS001343
(GBE_HC1581)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Asthma (algorithmically-defined) asthma 6,425
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001343/ScoringFiles/PGS001343.txt.gz
PGS001344
(GBE_BIN_FC4006152)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Asthma (diagnosed by doctor) asthma 6,139
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001344/ScoringFiles/PGS001344.txt.gz
PGS001345
(GBE_BIN22127)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Asthma (diagnosed by doctor) asthma 435
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001345/ScoringFiles/PGS001345.txt.gz
PGS001346
(GBE_HC1036)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Asthma (time-to-event) asthma 8,508
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001346/ScoringFiles/PGS001346.txt.gz
PGS001370
(GBE_INI3786)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Age asthma diagnosed asthma 922
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001370/ScoringFiles/PGS001370.txt.gz
PGS001849
(portability-PLR_495)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Asthma asthma 22,679
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001849/ScoringFiles/PGS001849.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
PGS002061
(portability-ldpred2_495)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Asthma asthma 793,375
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002061/ScoringFiles/PGS002061.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
PGS002248
(PRSice_asthma)
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Childhood asthma childhood onset asthma 105
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002248/ScoringFiles/PGS002248.txt.gz
PGS002270
(PRS33_LC)
PGP000300 |
Zhang P et al. Br J Cancer (2022)
Lung cancer lung carcinoma 33
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002270/ScoringFiles/PGS002270.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
PGS002311
(disease_ASTHMA_DIAGNOSED.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002311/ScoringFiles/PGS002311.txt.gz
PGS002347
(disease_RESPIRATORY_ENT.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002347/ScoringFiles/PGS002347.txt.gz
PGS002358
(disease_ASTHMA_DIAGNOSED.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 920,922
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002358/ScoringFiles/PGS002358.txt.gz
PGS002383
(disease_ASTHMA_DIAGNOSED.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 3,893
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002383/ScoringFiles/PGS002383.txt.gz
PGS002419
(disease_RESPIRATORY_ENT.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 3,299
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002419/ScoringFiles/PGS002419.txt.gz
PGS002432
(disease_ASTHMA_DIAGNOSED.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 15,843
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002432/ScoringFiles/PGS002432.txt.gz
PGS002468
(disease_RESPIRATORY_ENT.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 14,628
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002468/ScoringFiles/PGS002468.txt.gz
PGS002481
(disease_ASTHMA_DIAGNOSED.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 95,252
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002481/ScoringFiles/PGS002481.txt.gz
PGS002517
(disease_RESPIRATORY_ENT.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 93,256
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002517/ScoringFiles/PGS002517.txt.gz
PGS002530
(disease_ASTHMA_DIAGNOSED.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 817
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002530/ScoringFiles/PGS002530.txt.gz
PGS002566
(disease_RESPIRATORY_ENT.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 658
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002566/ScoringFiles/PGS002566.txt.gz
PGS002579
(disease_ASTHMA_DIAGNOSED.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 503
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002579/ScoringFiles/PGS002579.txt.gz
PGS002615
(disease_RESPIRATORY_ENT.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 382
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002615/ScoringFiles/PGS002615.txt.gz
PGS002628
(disease_ASTHMA_DIAGNOSED.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 205,286
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002628/ScoringFiles/PGS002628.txt.gz
PGS002664
(disease_RESPIRATORY_ENT.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 207,930
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002664/ScoringFiles/PGS002664.txt.gz
PGS002677
(disease_ASTHMA_DIAGNOSED.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Asthma asthma 934,369
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002677/ScoringFiles/PGS002677.txt.gz
PGS002713
(disease_RESPIRATORY_ENT.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Respiratory and ear-nose-throat diseases respiratory system disease 940,620
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002713/ScoringFiles/PGS002713.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
PPM000082 PGS000037
(PGS_AST)
PSS000055|
European Ancestry|
880 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Asthma onset, up to age 38 years HR: 1.12 [1.01, 1.26] sex
PPM000083 PGS000037
(PGS_AST)
PSS000055|
European Ancestry|
880 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Life-course-persistent asthma RR: 1.36 [1.14, 1.63] sex
PPM000084 PGS000037
(PGS_AST)
PSS000056|
European Ancestry|
187 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Asthma onset HR: 1.17 [1.01, 1.34] AUROC: 0.61 [0.53, 0.7] sex
PPM000085 PGS000037
(PGS_AST)
PSS000056|
European Ancestry|
187 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Life-course-persistent asthma RR: 1.2 [1.05, 1.38] sex
PPM000086 PGS000037
(PGS_AST)
PSS000055|
European Ancestry|
880 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Atopy (skin test for common allergen 2mm > control) RR: 1.07 [1.01, 1.14] sex
PPM000087 PGS000037
(PGS_AST)
PSS000055|
European Ancestry|
880 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Airway hyper-responsiveness to methacholine or albuterol RR: 1.16 [1.03, 1.32] sex
PPM000088 PGS000037
(PGS_AST)
PSS000055|
European Ancestry|
880 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Incompletely reversible airflow obstruction (IRAO, post-bronchodilator FEV1:FVC more than 2SD below mean) RR: 1.28 [1.04, 1.57] sex
PPM000089 PGS000037
(PGS_AST)
PSS000055|
European Ancestry|
880 individuals
PGP000025 |
Belsky DW et al. Lancet Respir Med (2013)
Reported Trait: Admitted to hospital for asthma RR: 1.38 [1.07, 1.79] sex
PPM000190 PGS000070
(PRS_LC_C)
PSS000109|
East Asian Ancestry|
95,408 individuals
PGP000049 |
Dai J et al. Lancet Respir Med (2019)
Reported Trait: Incident lung cancer HR (High genetic risk: top 5% vs. bottom 5% of PRS): 2.37 [1.64, 3.44]
HR (Intermediate genetic risk: 5-95% vs. bottom 5% of PRS): 1.6 [1.17, 2.2]
age, sex, source of region, smoking status
PPM000198 PGS000078
(CC_Lung)
PSS000117|
European Ancestry|
412,842 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Lung cancer OR: 1.12 [1.08, 1.17] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002044 PGS000078
(CC_Lung)
PSS001017|
European Ancestry|
392,539 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident lung cancer HR: 1.16 [1.11, 1.22] AUROC: 0.846
C-index: 0.849 (0.006)
Age at assessment, sex, genotyping array, PCs(1-15), family history of lung cancer, PM2.5 in 2010, cigarettes per day, years of smoking, smoking status (never vs. former vs. current), smoking status*cigarettes per day, smoking stutus*years of smoking C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000201 PGS000081
(CC_Oral)
PSS000120|
European Ancestry|
411,577 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Oral cavity and pharyngeal cancers OR: 1.08 [1.02, 1.14] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002047 PGS000081
(CC_Oral)
PSS001020|
European Ancestry|
391,479 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident oral cavity and pharyngeal cancer HR: 1.11 [1.01, 1.21] AUROC: 0.702
C-index: 0.686 (0.015)
Age at assessment, sex, genotyping array, PCs(1-15), weekly alcohol intake, cigarettes per day, years of smoking, smoing status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000487 PGS000156
(cGRS_Lung)
PSS000276|
European Ancestry|
14,335 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Lung cancer Odds Ratio (OR; high vs. average risk groups): 0.88 [0.57, 1.36]
PPM000476 PGS000156
(cGRS_Lung)
PSS000276|
European Ancestry|
14,335 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Lung cancer Mean realative risk: 1.01 [0.99, 1.02]
Wilcoxon test (case vs. control) p-value: 0.0116
PPM000970 PGS000341
(GRS33_SSc)
PSS000489|
European Ancestry|
339 individuals
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Reported Trait: Systemic sclerosis AUROC: 0.787 [0.73, 0.84] Systemic sclerosis status, age and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells *Some overlap with score development and testing samples
PPM000969 PGS000341
(GRS33_SSc)
PSS000489|
European Ancestry|
339 individuals
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Reported Trait: Systemic sclerosis AUROC: 0.722 Systemic sclerosis status and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells *Some overlap with score development and testing samples
PPM000968 PGS000341
(GRS33_SSc)
PSS000489|
European Ancestry|
339 individuals
PGP000110 |
Bossini-Castillo L et al. Ann Rheum Dis (2020)
Reported Trait: Systemic sclerosis AUROC: 0.644 *Some overlap with score development and testing samples
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
PPM001072 PGS000387
(PRSWEB_PHECODE165_UKBB-SAIGE-HRC-X165_LASSOSUM_MGI_20200608)
PSS000542|
European Ancestry|
5,218 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer within the respiratory system OR: 1.109 [1.008, 1.22]
β: 0.103 (0.0486)
AUROC: 0.53 [0.502, 0.557] Nagelkerke's Pseudo-R²: 0.0018
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.22 [1.12, 4.37]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165_UKBB-SAIGE-HRC-X165_LASSOSUM_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
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
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
PPM001650 PGS000721
(PRS_Lung)
PSS000857|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident lung cancer AUROC: 0.591 [0.576, 0.606] Genotyping array
PPM001651 PGS000721
(PRS_Lung)
PSS000857|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident lung cancer AUROC: 0.615 [0.6, 0.629] family history of cancer (in first-degree relatives), genotyping array
PPM001780 PGS000740
(PRS128_LC)
PSS000921|
European Ancestry|
183,671 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals who have never smoked OR: 1.28 [1.13, 1.46] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001781 PGS000740
(PRS128_LC)
PSS000920|
European Ancestry|
118,310 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals who are former smokers OR: 1.25 [1.17, 1.34] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001784 PGS000740
(PRS128_LC)
PSS000916|
European Ancestry|
42,540 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals with no family history of lung cancer OR: 1.29 [1.22, 1.36] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001785 PGS000740
(PRS128_LC)
PSS000917|
European Ancestry|
330,046 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals with COPD OR: 1.26 [1.09, 1.46] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001789 PGS000740
(PRS128_LC)
PSS000913|
European Ancestry|
167,955 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Early onset lung cancer (< 50 years) AUROC: 0.811 [0.701, 0.922] Age, sex, education, body mass index, personal history of cancer, family history of lung cancer, lung function 14/128 were omitted from the analysis (missing in HRC panel)
PPM001779 PGS000740
(PRS128_LC)
PSS000912|
European Ancestry|
335,931 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer OR: 1.26 [1.2, 1.32] Odds Ratio (OR, top 10% vs low risk): 2.39 [1.92, 3.0] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001782 PGS000740
(PRS128_LC)
PSS000919|
European Ancestry|
33,950 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals who currently smoke OR: 1.28 [1.19, 1.38] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001783 PGS000740
(PRS128_LC)
PSS000918|
European Ancestry|
287,620 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals with a family history of lung cancer OR: 1.16 [1.05, 1.27] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001786 PGS000740
(PRS128_LC)
PSS000915|
European Ancestry|
5,491 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals with no COPD diagnosis OR: 1.26 [1.2, 1.32] Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001787 PGS000740
(PRS128_LC)
PSS000913|
European Ancestry|
167,955 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer (absolute risk) β: 0.663 Age, sex, PCs(1-5) 14/128 were omitted from the analysis (missing in HRC panel)
PPM001788 PGS000740
(PRS128_LC)
PSS000914|
European Ancestry|
67,186 individuals
PGP000148 |
Hung RJ et al. Cancer Res (2021)
Reported Trait: Lung cancer in individuals who have never smoked AUROC: 0.687 [0.628, 0.746] Age, sex, education, body mass index, personal history of cancer, family history of lung cancer, lung function 14/128 were omitted from the analysis (missing in HRC panel)
PPM002060 PGS000789
(CC_Lung_IV)
PSS001017|
European Ancestry|
392,539 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident lung cancer HR: 1.17 [1.12, 1.23] AUROC: 0.846
C-index: 0.849 (0.006)
: 0.799 Age at assessment, sex, genotyping array, PCs(1-15), family history of lung cancer, PM2.5 in 2010, cigarettes per day, years of smoking, smoking status (never vs. former vs. current), smoking status*cigarettes per day, smoking stutus*years of smoking C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002072 PGS000789
(CC_Lung_IV)
PSS001017|
European Ancestry|
392,539 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident lung cancer AUROC: 0.71
C-index: 0.711 (0.007)
: 0.322 Age, sex, genotyping array, PCs(1-15) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002073 PGS000789
(CC_Lung_IV)
PSS001017|
European Ancestry|
392,539 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident lung cancer in never smokers AUROC: 0.723
C-index: 0.723 (0.02)
: 0.354 Age, sex, genotyping array, PCs(1-15), family history of lung cancer, PM2.5 level in 2010 C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002074 PGS000789
(CC_Lung_IV)
PSS001017|
European Ancestry|
392,539 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident lung cancer in smokers AUROC: 0.808
C-index: 0.809 (0.007)
: 0.657 Age, sex, genotyping array, PCs(1-15), family history of lung cancer, PM2.5 level in 2010, cigarettes per day, years of smoking, smoking status (former vs. current), years since quitting, (smoking status)*(cigarettes per day), (smoking status*years of smoking) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002063 PGS000792
(CC_Oral_IV)
PSS001020|
European Ancestry|
391,479 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident oral cavity and pharyngeal cancer HR: 1.12 [1.02, 1.23] AUROC: 0.702
C-index: 0.687 (0.015)
: 0.356 Age at assessment, sex, genotyping array, PCs(1-15), weekly alcohol intake, cigarettes per day, years of smoking, smoing status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002079 PGS000799
(GRSw_TAGC)
PSS001028|
European Ancestry|
427 individuals
PGP000189 |
Dijk FN et al. J Allergy Clin Immunol (2019)
Reported Trait: Asthma ever, at age 8 years OR: 1.52 [1.19, 1.96] Only 19 of the 22 SNP GRSw_TAGC were utilised. 3 SNPs were not used due to unavailability of data.
PPM002077 PGS000799
(GRSw_TAGC)
PSS001029|
European Ancestry|
1,858 individuals
PGP000189 |
Dijk FN et al. J Allergy Clin Immunol (2019)
Reported Trait: Asthma ever, at age 8 years OR: 1.23 [1.1, 1.38]
PPM002078 PGS000799
(GRSw_TAGC)
PSS001029|
European Ancestry|
1,858 individuals
PGP000189 |
Dijk FN et al. J Allergy Clin Immunol (2019)
Reported Trait: Asthma ever, at age 8 years AUROC: 0.66 Familial risk score (factors: parental allergy, parental allergy to pets, parental inhaled medication, low parental education) , environmental risk score (factors: pets at home during pregnancy, smoking mother during pregnancy, older siblings living at home), perinatal risk score (factors: sex, low birth weight < 2500 g)
PPM002080 PGS000799
(GRSw_TAGC)
PSS001028|
European Ancestry|
427 individuals
PGP000189 |
Dijk FN et al. J Allergy Clin Immunol (2019)
Reported Trait: Asthma ever, at age 8 years AUROC: 0.69 Familial risk score (factors: parental allergy, parental allergy to pets, parental inhaled medication, low parental education) , environmental risk score (factors: pets at home during pregnancy, smoking mother during pregnancy, older siblings living at home), perinatal risk score (factors: sex, low birth weight < 2500 g) Only 19 of the 22 SNP GRSw_TAGC were utilised. 3 SNPs were not used due to unavailability of data.
PPM002521 PGS000880
(PRS18_LC)
PSS001139|
European Ancestry|
382,598 individuals
PGP000226 |
Xie J et al. Sleep (2021)
Reported Trait: Incident lung cancer HR: 1.2 [1.15, 1.26] Sex, education (college or uni- versity degree/vocational qualification, other qualification), smoking status (never, former, current), pack-years, alcohol in- take (nondrinker, <1, 1–10, 10–20, ≥20 g/day), physical activity (Metabolic Equivalent Task hours per week, MET-h/week), and body mass index (BMI, kg/m2)
PPM007452 PGS000925
(GBE_HC1020)
PSS004064|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified acute lower respiratory infection AUROC: 0.57269 [0.54679, 0.59859] : 0.01184
Incremental AUROC (full-covars): -0.00336
PGS R2 (no covariates): 1e-05
PGS AUROC (no covariates): 0.50444 [0.47789, 0.53099]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007453 PGS000925
(GBE_HC1020)
PSS004065|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified acute lower respiratory infection AUROC: 0.60323 [0.54812, 0.65835] : 0.03851
Incremental AUROC (full-covars): -0.00133
PGS R2 (no covariates): 6e-05
PGS AUROC (no covariates): 0.50156 [0.44741, 0.55572]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007454 PGS000925
(GBE_HC1020)
PSS004066|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified acute lower respiratory infection AUROC: 0.5999 [0.58827, 0.61153] : 0.02334
Incremental AUROC (full-covars): -0.00017
PGS R2 (no covariates): 0.00015
PGS AUROC (no covariates): 0.50839 [0.49651, 0.52027]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007455 PGS000925
(GBE_HC1020)
PSS004067|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified acute lower respiratory infection AUROC: 0.59639 [0.57815, 0.61463] : 0.02321
Incremental AUROC (full-covars): -0.00306
PGS R2 (no covariates): 0.00104
PGS AUROC (no covariates): 0.47878 [0.46019, 0.49737]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007456 PGS000925
(GBE_HC1020)
PSS004068|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified acute lower respiratory infection AUROC: 0.58398 [0.57742, 0.59055] : 0.01732
Incremental AUROC (full-covars): 0.00092
PGS R2 (no covariates): 0.00054
PGS AUROC (no covariates): 0.51573 [0.50903, 0.52242]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007913 PGS001030
(GBE_HC84)
PSS004652|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Pulmonary fibrosis AUROC: 0.76432 [0.66152, 0.86711] : 0.06337
Incremental AUROC (full-covars): -0.00734
PGS R2 (no covariates): 0.00134
PGS AUROC (no covariates): 0.54418 [0.41387, 0.67449]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007914 PGS001030
(GBE_HC84)
PSS004653|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Pulmonary fibrosis AUROC: 0.78836 [0.4182, 1.0] : 0.07327
Incremental AUROC (full-covars): 0.0
PGS R2 (no covariates): 0.01067
PGS AUROC (no covariates): 0.62728 [0.08781, 1.0]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007915 PGS001030
(GBE_HC84)
PSS004654|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Pulmonary fibrosis AUROC: 0.80151 [0.7556, 0.84742] : 0.08672
Incremental AUROC (full-covars): 0.01818
PGS R2 (no covariates): 0.0142
PGS AUROC (no covariates): 0.6252 [0.55618, 0.69423]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007916 PGS001030
(GBE_HC84)
PSS004655|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Pulmonary fibrosis AUROC: 0.80812 [0.73923, 0.87701] : 0.10725
Incremental AUROC (full-covars): 0.00706
PGS R2 (no covariates): 0.01559
PGS AUROC (no covariates): 0.62171 [0.52443, 0.71899]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007917 PGS001030
(GBE_HC84)
PSS004656|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Pulmonary fibrosis AUROC: 0.76146 [0.73043, 0.79249] : 0.07269
Incremental AUROC (full-covars): 0.0067
PGS R2 (no covariates): 0.00735
PGS AUROC (no covariates): 0.57583 [0.53323, 0.61844]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
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] : 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] : 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] : 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] : 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] : 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
PPM008764 PGS001251
(GBE_HC1052)
PSS004089|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other interstitial pulmonary diseases AUROC: 0.76685 [0.68863, 0.84507] : 0.06049
Incremental AUROC (full-covars): -0.01407
PGS R2 (no covariates): 0.00442
PGS AUROC (no covariates): 0.4271 [0.31775, 0.53645]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008765 PGS001251
(GBE_HC1052)
PSS004090|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other interstitial pulmonary diseases AUROC: 0.64809 [0.35879, 0.93738] : 0.00599
Incremental AUROC (full-covars): 0.0
PGS R2 (no covariates): 0.00017
PGS AUROC (no covariates): 0.45824 [0.07908, 0.83739]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008766 PGS001251
(GBE_HC1052)
PSS004091|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other interstitial pulmonary diseases AUROC: 0.77039 [0.72659, 0.81418] : 0.07337
Incremental AUROC (full-covars): 0.01441
PGS R2 (no covariates): 0.00915
PGS AUROC (no covariates): 0.58668 [0.52852, 0.64484]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008767 PGS001251
(GBE_HC1052)
PSS004092|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other interstitial pulmonary diseases AUROC: 0.76583 [0.69953, 0.83214] : 0.08099
Incremental AUROC (full-covars): 0.00566
PGS R2 (no covariates): 0.01001
PGS AUROC (no covariates): 0.6044 [0.52353, 0.68526]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008768 PGS001251
(GBE_HC1052)
PSS004093|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other interstitial pulmonary diseases AUROC: 0.75237 [0.72682, 0.77791] : 0.07255
Incremental AUROC (full-covars): 0.01396
PGS R2 (no covariates): 0.0116
PGS AUROC (no covariates): 0.59358 [0.56068, 0.62648]
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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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] : 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
PPM009191 PGS001341
(GBE_HC382)
PSS004466|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma AUROC: 0.61763 [0.59798, 0.63728] : 0.03727
Incremental AUROC (full-covars): 0.0081
PGS R2 (no covariates): 0.00847
PGS AUROC (no covariates): 0.55669 [0.53574, 0.57763]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009192 PGS001341
(GBE_HC382)
PSS004467|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma AUROC: 0.57795 [0.53557, 0.62032] : 0.02196
Incremental AUROC (full-covars): -0.01536
PGS R2 (no covariates): 0.00014
PGS AUROC (no covariates): 0.51559 [0.47138, 0.55979]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009193 PGS001341
(GBE_HC382)
PSS004468|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma AUROC: 0.63649 [0.62628, 0.6467] : 0.04868
Incremental AUROC (full-covars): 0.06379
PGS R2 (no covariates): 0.0373
PGS AUROC (no covariates): 0.6175 [0.60705, 0.62795]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009194 PGS001341
(GBE_HC382)
PSS004469|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma AUROC: 0.60865 [0.59116, 0.62614] : 0.03337
Incremental AUROC (full-covars): 0.03258
PGS R2 (no covariates): 0.01973
PGS AUROC (no covariates): 0.58188 [0.5641, 0.59966]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009195 PGS001341
(GBE_HC382)
PSS004470|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma AUROC: 0.62569 [0.61945, 0.63192] : 0.04404
Incremental AUROC (full-covars): 0.07406
PGS R2 (no covariates): 0.03731
PGS AUROC (no covariates): 0.61664 [0.61037, 0.62291]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009196 PGS001343
(GBE_HC1581)
PSS004292|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD asthma AUROC: 0.61862 [0.59895, 0.63828] : 0.038
Incremental AUROC (full-covars): 0.00982
PGS R2 (no covariates): 0.00928
PGS AUROC (no covariates): 0.55801 [0.53701, 0.579]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009197 PGS001343
(GBE_HC1581)
PSS004293|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD asthma AUROC: 0.57145 [0.52876, 0.61414] : 0.02036
Incremental AUROC (full-covars): -0.02169
PGS R2 (no covariates): 2e-05
PGS AUROC (no covariates): 0.50757 [0.46343, 0.55171]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009198 PGS001343
(GBE_HC1581)
PSS004294|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD asthma AUROC: 0.63661 [0.62631, 0.6469] : 0.04847
Incremental AUROC (full-covars): 0.06318
PGS R2 (no covariates): 0.03703
PGS AUROC (no covariates): 0.61732 [0.60678, 0.62786]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009199 PGS001343
(GBE_HC1581)
PSS004295|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD asthma AUROC: 0.61078 [0.59322, 0.62833] : 0.03413
Incremental AUROC (full-covars): 0.03417
PGS R2 (no covariates): 0.02015
PGS AUROC (no covariates): 0.58309 [0.56524, 0.60095]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009200 PGS001343
(GBE_HC1581)
PSS004296|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD asthma AUROC: 0.62553 [0.61925, 0.63182] : 0.04393
Incremental AUROC (full-covars): 0.07302
PGS R2 (no covariates): 0.03704
PGS AUROC (no covariates): 0.6162 [0.60989, 0.62251]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009201 PGS001344
(GBE_BIN_FC4006152)
PSS003954|
African Ancestry|
4,956 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma diagnosed by doctor AUROC: 0.64534 [0.62387, 0.66681] : 0.059
Incremental AUROC (full-covars): 0.00716
PGS R2 (no covariates): 0.01177
PGS AUROC (no covariates): 0.56449 [0.5415, 0.58748]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009202 PGS001344
(GBE_BIN_FC4006152)
PSS003955|
East Asian Ancestry|
1,072 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma diagnosed by doctor AUROC: 0.61098 [0.56503, 0.65693] : 0.04365
Incremental AUROC (full-covars): -0.00964
PGS R2 (no covariates): 0.00128
PGS AUROC (no covariates): 0.53103 [0.48086, 0.5812]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009203 PGS001344
(GBE_BIN_FC4006152)
PSS003956|
European Ancestry|
19,857 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma diagnosed by doctor AUROC: 0.66621 [0.65552, 0.67691] : 0.07596
Incremental AUROC (full-covars): 0.07977
PGS R2 (no covariates): 0.05973
PGS AUROC (no covariates): 0.64568 [0.63475, 0.65662]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009204 PGS001344
(GBE_BIN_FC4006152)
PSS003957|
South Asian Ancestry|
6,229 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma diagnosed by doctor AUROC: 0.61016 [0.59026, 0.63007] : 0.03328
Incremental AUROC (full-covars): 0.04929
PGS R2 (no covariates): 0.02494
PGS AUROC (no covariates): 0.59646 [0.57624, 0.61668]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009205 PGS001344
(GBE_BIN_FC4006152)
PSS003958|
European Ancestry|
53,936 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Asthma diagnosed by doctor AUROC: 0.65364 [0.64713, 0.66016] : 0.06727
Incremental AUROC (full-covars): 0.09037
PGS R2 (no covariates): 0.05689
PGS AUROC (no covariates): 0.64265 [0.63609, 0.64921]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009206 PGS001345
(GBE_BIN22127)
PSS003676|
African Ancestry|
516 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Doctor diagnosed asthma AUROC: 0.66261 [0.59914, 0.72609] : 0.07843
Incremental AUROC (full-covars): 0.01462
PGS R2 (no covariates): 0.00704
PGS AUROC (no covariates): 0.54765 [0.47414, 0.62116]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009207 PGS001345
(GBE_BIN22127)
PSS003677|
East Asian Ancestry|
245 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Doctor diagnosed asthma AUROC: 0.67066 [0.56822, 0.7731] : 0.10676
Incremental AUROC (full-covars): 0.02219
PGS R2 (no covariates): 0.03135
PGS AUROC (no covariates): 0.60951 [0.50092, 0.71811]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009208 PGS001345
(GBE_BIN22127)
PSS003678|
European Ancestry|
5,959 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Doctor diagnosed asthma AUROC: 0.59515 [0.57415, 0.61614] : 0.02426
Incremental AUROC (full-covars): 0.0264
PGS R2 (no covariates): 0.01031
PGS AUROC (no covariates): 0.56199 [0.54029, 0.58369]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009209 PGS001345
(GBE_BIN22127)
PSS003679|
South Asian Ancestry|
707 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Doctor diagnosed asthma AUROC: 0.63251 [0.57541, 0.68961] : 0.04811
Incremental AUROC (full-covars): 0.0046
PGS R2 (no covariates): 0.00714
PGS AUROC (no covariates): 0.53871 [0.47553, 0.60189]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009210 PGS001345
(GBE_BIN22127)
PSS003680|
European Ancestry|
17,244 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Doctor diagnosed asthma AUROC: 0.60258 [0.58999, 0.61516] : 0.02879
Incremental AUROC (full-covars): 0.03437
PGS R2 (no covariates): 0.01667
PGS AUROC (no covariates): 0.57923 [0.56641, 0.59204]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009215 PGS001346
(GBE_HC1036)
PSS004088|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE asthma AUROC: 0.62361 [0.61737, 0.62985] : 0.04277
Incremental AUROC (full-covars): 0.07368
PGS R2 (no covariates): 0.03644
PGS AUROC (no covariates): 0.61489 [0.60862, 0.62117]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009211 PGS001346
(GBE_HC1036)
PSS004084|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE asthma AUROC: 0.60891 [0.58896, 0.62886] : 0.03181
Incremental AUROC (full-covars): 0.00272
PGS R2 (no covariates): 0.00692
PGS AUROC (no covariates): 0.55171 [0.53052, 0.5729]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009212 PGS001346
(GBE_HC1036)
PSS004085|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE asthma AUROC: 0.58384 [0.54229, 0.62539] : 0.02359
Incremental AUROC (full-covars): -0.00999
PGS R2 (no covariates): 0.00084
PGS AUROC (no covariates): 0.52195 [0.47679, 0.5671]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009213 PGS001346
(GBE_HC1036)
PSS004086|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE asthma AUROC: 0.63612 [0.62588, 0.64636] : 0.04845
Incremental AUROC (full-covars): 0.06586
PGS R2 (no covariates): 0.03759
PGS AUROC (no covariates): 0.61803 [0.60759, 0.62848]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009214 PGS001346
(GBE_HC1036)
PSS004087|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE asthma AUROC: 0.6095 [0.59223, 0.62677] : 0.03284
Incremental AUROC (full-covars): 0.03317
PGS R2 (no covariates): 0.01873
PGS AUROC (no covariates): 0.58128 [0.56371, 0.59884]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007090 PGS001370
(GBE_INI3786)
PSS007256|
African Ancestry|
613 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.25693 [0.23862, 0.27524]
Incremental R2 (full-covars): -0.00562
PGS R2 (no covariates): 0.00183 [-0.00025, 0.0039]
age, sex, UKB array type, Genotype PCs
PPM007091 PGS001370
(GBE_INI3786)
PSS007257|
East Asian Ancestry|
120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.16159 [0.12965, 0.19353]
Incremental R2 (full-covars): -0.02341
PGS R2 (no covariates): 0.00419 [-0.00192, 0.0103]
age, sex, UKB array type, Genotype PCs
PPM007092 PGS001370
(GBE_INI3786)
PSS007258|
European Ancestry|
2,597 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.17449 [0.16593, 0.18306]
Incremental R2 (full-covars): 0.01793
PGS R2 (no covariates): 0.02331 [0.01961, 0.02702]
age, sex, UKB array type, Genotype PCs
PPM007093 PGS001370
(GBE_INI3786)
PSS007259|
South Asian Ancestry|
807 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.16307 [0.14811, 0.17804]
Incremental R2 (full-covars): -0.00111
PGS R2 (no covariates): 0.00547 [0.00221, 0.00873]
age, sex, UKB array type, Genotype PCs
PPM007094 PGS001370
(GBE_INI3786)
PSS007260|
European Ancestry|
7,052 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.15588 [0.15084, 0.16091]
Incremental R2 (full-covars): 0.02498
PGS R2 (no covariates): 0.02714 [0.02472, 0.02956]
age, sex, UKB array type, Genotype PCs
PPM009682 PGS001849
(portability-PLR_495)
PSS009324|
European Ancestry|
19,551 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.1135 [0.0997, 0.1274] sex, age, birth date, deprivation index, 16 PCs
PPM009683 PGS001849
(portability-PLR_495)
PSS009098|
European Ancestry|
4,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0477 [0.017, 0.0784] sex, age, birth date, deprivation index, 16 PCs
PPM009684 PGS001849
(portability-PLR_495)
PSS008652|
European Ancestry|
6,537 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0847 [0.0606, 0.1088] sex, age, birth date, deprivation index, 16 PCs
PPM009685 PGS001849
(portability-PLR_495)
PSS008426|
Greater Middle Eastern Ancestry|
1,183 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0818 [0.0244, 0.1386] sex, age, birth date, deprivation index, 16 PCs
PPM009686 PGS001849
(portability-PLR_495)
PSS008206|
South Asian Ancestry|
6,270 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.098 [0.0734, 0.1225] sex, age, birth date, deprivation index, 16 PCs
PPM009687 PGS001849
(portability-PLR_495)
PSS007988|
East Asian Ancestry|
1,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0312 [-0.0153, 0.0775] sex, age, birth date, deprivation index, 16 PCs
PPM009688 PGS001849
(portability-PLR_495)
PSS007771|
African Ancestry|
2,462 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0528 [0.0132, 0.0923] sex, age, birth date, deprivation index, 16 PCs
PPM009689 PGS001849
(portability-PLR_495)
PSS008875|
African Ancestry|
3,892 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0161 [-0.0154, 0.0476] sex, age, birth date, deprivation index, 16 PCs
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
PPM011350 PGS002061
(portability-ldpred2_495)
PSS009324|
European Ancestry|
19,551 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.1184 [0.1045, 0.1322] sex, age, birth date, deprivation index, 16 PCs
PPM011351 PGS002061
(portability-ldpred2_495)
PSS009098|
European Ancestry|
4,078 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0394 [0.0087, 0.0701] sex, age, birth date, deprivation index, 16 PCs
PPM011352 PGS002061
(portability-ldpred2_495)
PSS008652|
European Ancestry|
6,537 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0945 [0.0704, 0.1185] sex, age, birth date, deprivation index, 16 PCs
PPM011353 PGS002061
(portability-ldpred2_495)
PSS008426|
Greater Middle Eastern Ancestry|
1,183 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.079 [0.0216, 0.1359] sex, age, birth date, deprivation index, 16 PCs
PPM011354 PGS002061
(portability-ldpred2_495)
PSS008206|
South Asian Ancestry|
6,270 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.097 [0.0723, 0.1215] sex, age, birth date, deprivation index, 16 PCs
PPM011355 PGS002061
(portability-ldpred2_495)
PSS007988|
East Asian Ancestry|
1,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0355 [-0.0109, 0.0818] sex, age, birth date, deprivation index, 16 PCs
PPM011356 PGS002061
(portability-ldpred2_495)
PSS007771|
African Ancestry|
2,462 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0521 [0.0125, 0.0916] sex, age, birth date, deprivation index, 16 PCs
PPM011357 PGS002061
(portability-ldpred2_495)
PSS008875|
African Ancestry|
3,892 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Asthma Partial Correlation (partial-r): 0.0221 [-0.0094, 0.0536] 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
PPM012792 PGS002248
(PRSice_asthma)
PSS009557|
European Ancestry|
898 individuals
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Reported Trait: Childhood asthma by age 11 AUROC: 0.61
PPM012793 PGS002248
(PRSice_asthma)
PSS009558|
European Ancestry|
1,018 individuals
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Reported Trait: Childhood asthma by age 8 AUROC: 0.65 [0.53, 0.77] CAPE model
PPM012791 PGS002248
(PRSice_asthma)
PSS009558|
European Ancestry|
1,018 individuals
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Reported Trait: Childhood asthma by age 8 AUROC: 0.61
PPM012794 PGS002248
(PRSice_asthma)
PSS009557|
European Ancestry|
898 individuals
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Reported Trait: Childhood asthma by age 11 AUROC: 0.71 [0.61, 0.8] CAPE model
PPM012795 PGS002248
(PRSice_asthma)
PSS009558|
European Ancestry|
1,018 individuals
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Reported Trait: Childhood asthma by age 8 AUROC: 0.85 [0.77, 0.92] CAPP model
PPM012796 PGS002248
(PRSice_asthma)
PSS009557|
European Ancestry|
898 individuals
PGP000275 |
Kothalawala DM et al. J Pers Med (2022)
Reported Trait: Childhood asthma by age 11 AUROC: 0.81 [0.72, 0.89] CAPP model
PPM012923 PGS002270
(PRS33_LC)
PSS009619|
European Ancestry|
345,794 individuals
PGP000300 |
Zhang P et al. Br J Cancer (2022)
Reported Trait: Incident lung cancer HR: 1.16 [1.11, 1.22] Age, sex, education, Townsend deprivation index, income, BMI, diet, physical activity, alcohol consumption, occupational exposure, passive smoking, relatedness and first 20 principal components of ancestry
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
PPM013076 PGS002311
(disease_ASTHMA_DIAGNOSED.BOLT-LMM)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0055 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013125 PGS002311
(disease_ASTHMA_DIAGNOSED.BOLT-LMM)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013174 PGS002311
(disease_ASTHMA_DIAGNOSED.BOLT-LMM)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0238 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013223 PGS002311
(disease_ASTHMA_DIAGNOSED.BOLT-LMM)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0106 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013112 PGS002347
(disease_RESPIRATORY_ENT.BOLT-LMM)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013161 PGS002347
(disease_RESPIRATORY_ENT.BOLT-LMM)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013210 PGS002347
(disease_RESPIRATORY_ENT.BOLT-LMM)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0208 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013259 PGS002347
(disease_RESPIRATORY_ENT.BOLT-LMM)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0103 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013270 PGS002358
(disease_ASTHMA_DIAGNOSED.BOLT-LMM-BBJ)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013293 PGS002358
(disease_ASTHMA_DIAGNOSED.BOLT-LMM-BBJ)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0016 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013316 PGS002358
(disease_ASTHMA_DIAGNOSED.BOLT-LMM-BBJ)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013339 PGS002358
(disease_ASTHMA_DIAGNOSED.BOLT-LMM-BBJ)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013364 PGS002383
(disease_ASTHMA_DIAGNOSED.P+T.0.0001)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013413 PGS002383
(disease_ASTHMA_DIAGNOSED.P+T.0.0001)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013462 PGS002383
(disease_ASTHMA_DIAGNOSED.P+T.0.0001)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013511 PGS002383
(disease_ASTHMA_DIAGNOSED.P+T.0.0001)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013400 PGS002419
(disease_RESPIRATORY_ENT.P+T.0.0001)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013449 PGS002419
(disease_RESPIRATORY_ENT.P+T.0.0001)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013498 PGS002419
(disease_RESPIRATORY_ENT.P+T.0.0001)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013547 PGS002419
(disease_RESPIRATORY_ENT.P+T.0.0001)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013560 PGS002432
(disease_ASTHMA_DIAGNOSED.P+T.0.001)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013609 PGS002432
(disease_ASTHMA_DIAGNOSED.P+T.0.001)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013658 PGS002432
(disease_ASTHMA_DIAGNOSED.P+T.0.001)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013707 PGS002432
(disease_ASTHMA_DIAGNOSED.P+T.0.001)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013596 PGS002468
(disease_RESPIRATORY_ENT.P+T.0.001)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013645 PGS002468
(disease_RESPIRATORY_ENT.P+T.0.001)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013694 PGS002468
(disease_RESPIRATORY_ENT.P+T.0.001)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0016 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013743 PGS002468
(disease_RESPIRATORY_ENT.P+T.0.001)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013756 PGS002481
(disease_ASTHMA_DIAGNOSED.P+T.0.01)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013805 PGS002481
(disease_ASTHMA_DIAGNOSED.P+T.0.01)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0014 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013854 PGS002481
(disease_ASTHMA_DIAGNOSED.P+T.0.01)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013903 PGS002481
(disease_ASTHMA_DIAGNOSED.P+T.0.01)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0007 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013792 PGS002517
(disease_RESPIRATORY_ENT.P+T.0.01)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013841 PGS002517
(disease_RESPIRATORY_ENT.P+T.0.01)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013890 PGS002517
(disease_RESPIRATORY_ENT.P+T.0.01)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0014 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013939 PGS002517
(disease_RESPIRATORY_ENT.P+T.0.01)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013952 PGS002530
(disease_ASTHMA_DIAGNOSED.P+T.1e-06)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014001 PGS002530
(disease_ASTHMA_DIAGNOSED.P+T.1e-06)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014050 PGS002530
(disease_ASTHMA_DIAGNOSED.P+T.1e-06)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0077 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014099 PGS002530
(disease_ASTHMA_DIAGNOSED.P+T.1e-06)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.004 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013988 PGS002566
(disease_RESPIRATORY_ENT.P+T.1e-06)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014037 PGS002566
(disease_RESPIRATORY_ENT.P+T.1e-06)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014086 PGS002566
(disease_RESPIRATORY_ENT.P+T.1e-06)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0065 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014135 PGS002566
(disease_RESPIRATORY_ENT.P+T.1e-06)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0046 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014148 PGS002579
(disease_ASTHMA_DIAGNOSED.P+T.5e-08)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014197 PGS002579
(disease_ASTHMA_DIAGNOSED.P+T.5e-08)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0022 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014246 PGS002579
(disease_ASTHMA_DIAGNOSED.P+T.5e-08)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0073 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014295 PGS002579
(disease_ASTHMA_DIAGNOSED.P+T.5e-08)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0036 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014184 PGS002615
(disease_RESPIRATORY_ENT.P+T.5e-08)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0007 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014233 PGS002615
(disease_RESPIRATORY_ENT.P+T.5e-08)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014282 PGS002615
(disease_RESPIRATORY_ENT.P+T.5e-08)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0061 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014331 PGS002615
(disease_RESPIRATORY_ENT.P+T.5e-08)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0035 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014491 PGS002628
(disease_ASTHMA_DIAGNOSED.PolyFun-pred)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0106 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ASTHMA_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014344 PGS002628
(disease_ASTHMA_DIAGNOSED.PolyFun-pred)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0059 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ASTHMA_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014393 PGS002628
(disease_ASTHMA_DIAGNOSED.PolyFun-pred)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0006 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ASTHMA_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014442 PGS002628
(disease_ASTHMA_DIAGNOSED.PolyFun-pred)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0253 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ASTHMA_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014380 PGS002664
(disease_RESPIRATORY_ENT.PolyFun-pred)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0056 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014429 PGS002664
(disease_RESPIRATORY_ENT.PolyFun-pred)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014478 PGS002664
(disease_RESPIRATORY_ENT.PolyFun-pred)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0217 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014527 PGS002664
(disease_RESPIRATORY_ENT.PolyFun-pred)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0103 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014540 PGS002677
(disease_ASTHMA_DIAGNOSED.SBayesR)
PSS009687|
African Ancestry|
6,423 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0048 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014589 PGS002677
(disease_ASTHMA_DIAGNOSED.SBayesR)
PSS009688|
East Asian Ancestry|
905 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014638 PGS002677
(disease_ASTHMA_DIAGNOSED.SBayesR)
PSS009689|
European Ancestry|
43,398 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0212 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014687 PGS002677
(disease_ASTHMA_DIAGNOSED.SBayesR)
PSS009690|
South Asian Ancestry|
7,942 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Asthma Incremental R2 (full model vs. covariates alone): 0.0103 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014576 PGS002713
(disease_RESPIRATORY_ENT.SBayesR)
PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0044 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014625 PGS002713
(disease_RESPIRATORY_ENT.SBayesR)
PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014674 PGS002713
(disease_RESPIRATORY_ENT.SBayesR)
PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0184 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014723 PGS002713
(disease_RESPIRATORY_ENT.SBayesR)
PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseases Incremental R2 (full model vs. covariates alone): 0.0106 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs

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
PSS000120 Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 20010, 20020, 20030, 20040, 20050, 20060, 20070, 20080, 20090, and 20100
[
  • 1,223 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB
PSS008652 6,537 individuals European Italy (South Europe) UKB
PSS008653 6,311 individuals European Italy (South Europe) UKB
PSS001139 Cases were individuals with lung cancer. Lung cancer cases were ascertained through record linkage to the National Health Service central registries and death registries. The endpoint was identified using ICD-10 (International Classification of Diseases, 10th revision) codes (C33 and C34).
[
  • 1,791 cases
  • , 380,807 controls
]
European UKB
PSS003957
[
  • 901 cases
  • , 5,328 controls
]
South Asian UKB
PSS007256 613 individuals African unspecified UKB
PSS007257 120 individuals East Asian UKB
PSS007258 2,597 individuals European non-white British ancestry UKB
PSS003676
[
  • 80 cases
  • , 436 controls
]
African unspecified UKB
PSS003677
[
  • 29 cases
  • , 216 controls
]
East Asian UKB
PSS003678
[
  • 793 cases
  • , 5,166 controls
]
European non-white British ancestry UKB
PSS003679
[
  • 99 cases
  • , 608 controls
]
South Asian UKB
PSS003680
[
  • 2,213 cases
  • , 15,031 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS007259 807 individuals South Asian UKB
PSS007260 7,052 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008206 6,270 individuals South Asian India (South Asia) UKB
PSS008207 5,753 individuals South Asian India (South Asia) UKB
PSS009619
[
  • 1,687 cases
  • , 344,107 controls
]
,
44.1 % Male samples
Mean = 56.3 years
Sd = 8.0 years
European UKB
PSS004292
[
  • 869 cases
  • , 5,628 controls
]
African unspecified UKB
PSS004293
[
  • 165 cases
  • , 1,539 controls
]
East Asian UKB
PSS004294
[
  • 3,193 cases
  • , 21,712 controls
]
European non-white British ancestry UKB
PSS004295
[
  • 1,164 cases
  • , 6,667 controls
]
South Asian UKB
PSS004296
[
  • 8,797 cases
  • , 58,628 controls
]
European white British ancestry UKB Testing cohort (heldout set)
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)
PSS007771 2,462 individuals African American or Afro-Caribbean Carribean UKB
PSS007772 2,270 individuals African American or Afro-Caribbean Carribean UKB
PSS009324 19,551 individuals European UK (+ Ireland) UKB
PSS009325 18,735 individuals European UK (+ Ireland) UKB
PSS000055 Current asthma status was assessed at ages 9, 11, 13, 15, 18, 21, 26, 32, and 38 years from standardised interviews of study members (or their mothers if the participant was younger than 13 years) done by pulmonary specialists. Current asthma was defined as a diagnosis of asthma in addition to positive symptoms within the past 12 months, including asthma attack, recurrent wheeze (excluding study members reporting only one or two episodes lasting less than 1 h), or medical treatment for asthma. Age at asthma onset was defined as the earliest age at which wheezing symptoms or diagnosis by a physician were recorded. Median = 38.0 years
Range = [0.0, 38.0] years
[
  • 305 cases
  • , 575 controls
]
,
51.0 % Male samples
European DMHDS
PSS000056 Current asthma status was assessed at ages 9, 11, 13, 15, 18, 21, 26, 32, and 38 years from standardised interviews of study members (or their mothers if the participant was younger than 13 years) done by pulmonary specialists. Current asthma was defined as a diagnosis of asthma in addition to positive symptoms within the past 12 months, including asthma attack, recurrent wheeze (excluding study members reporting only one or two episodes lasting less than 1 h), or medical treatment for asthma. Age at asthma onset was defined as the earliest age at which wheezing symptoms or diagnosis by a physician were recorded. 187 individuals European DMHDS Subset of children from DMHDS with asthma onset in childhood (before age 13 years)
PSS009646
[
  • 1,304 cases
  • , 1,589 controls
]
East Asian NR
PSS000489 The diagnosttic criteria for each disease was based on gold-standard clinical guidelines. 339 individuals European
(Spanish)
PRECISESADS
PSS000857 Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Lung cancer=(ICD-9 = 162.2–162.9 or ICD-10 = C34). Median = 5.8 years
[
  • 1,508 cases
  • , 399,304 controls
]
,
46.5 % Male samples
European UKB
PSS008875 3,892 individuals African unspecified Nigeria (West Africa) UKB
PSS008876 3,652 individuals African unspecified Nigeria (West Africa) 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
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
PSS000542 PheCode:165; ICD9CM:162.0, 162.2, 162.3, 162.4, 162.5, 162.8, 162.9, 163.0, 163.1, 163.8, 163.9, 165.0, 165.8, 165.9, 209.21, 231.1, 231.2, 231.8, 231.9, V10.11, V10.12, V10.20, V10.29; 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, C38.4, C39, C39.0, C39.9, C45.0, C7A.090, D02.1, D02.2, D02.20, D02.21, D02.22, D02.3, D02.4
[
  • 475 cases
  • , 4,743 controls
]
European MGI
PSS001017 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. 207 of the cases were in non-smokers and 1334 were in smokers.
[
  • 1,541 cases
  • , 390,998 controls
]
European UKB
PSS001020 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases.
[
  • 481 cases
  • , 390,998 controls
]
European 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
PSS001028 Cases were children with asthma ever, at age 8 years. Cases were defined using an adjusted diagnosis of asthma ever at age 8 years based on (1) 1 or more attacks of wheeze in the last 12 months or (2) inhaled corticosteroids for respiratory or lung problems prescribed by a doctor in the last 12 months. A child who had at least 1 of these characteristics was categorized as having asthma.
[
  • 215 cases
  • , 212 controls
]
,
56.2 % Male samples
European
(Swedish)
BAMSE Possible sample overlap of up to 100% between this dataset and the datasets used to source variants for GRSw_TAGC.
PSS001029 Cases were children with asthma ever, at age 8 years, in which asthma was defined by the following characteristics: 1 or more attacks of wheeze in the last 12 months, 1 or more events of shortness of breath (dyspnea) in the last 12 months, or inhaled corticosteroids for respiratory or lung problems prescribed by a doctor in the last 12 months. A child who had 1 or more of these characteristics was categorized as having asthma.
[
  • 792 cases
  • , 1,066 controls
]
,
51.1 % Male samples
European PIAMA Possible sample overlap of up to 19% between this dataset and the datasets used to source variants for GRSw_TAGC.
PSS008426 1,183 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008427 1,122 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS003954
[
  • 730 cases
  • , 4,226 controls
]
African unspecified UKB
PSS003955
[
  • 135 cases
  • , 937 controls
]
East Asian UKB
PSS003956
[
  • 2,872 cases
  • , 16,985 controls
]
European non-white British ancestry UKB
PSS004466
[
  • 871 cases
  • , 5,626 controls
]
African unspecified UKB
PSS004467
[
  • 166 cases
  • , 1,538 controls
]
East Asian UKB
PSS004468
[
  • 3,243 cases
  • , 21,662 controls
]
European non-white British ancestry UKB
PSS004469
[
  • 1,171 cases
  • , 6,660 controls
]
South Asian UKB
PSS000912 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 1,768 cases
  • , 50,772 controls
]
,
46.28 % Male samples
European UKB
PSS000913 167,955 individuals European UKB
PSS000914 67,186 individuals European UKB
PSS000915 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 180 cases
  • , 5,311 controls
]
European UKB
PSS000916 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 387 cases
  • , 42,153 controls
]
European UKB
PSS000917 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 1,581 cases
  • , 328,465 controls
]
European UKB
PSS000918 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 1,323 cases
  • , 286,297 controls
]
European UKB
PSS000919 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 724 cases
  • , 33,226 controls
]
European UKB
PSS000920 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 808 cases
  • , 117,502 controls
]
European UKB
PSS000921 Cases are individuals with a lung cancer diagnosis. Lung cancer diagnosis was obtained through record linkage with death and cancer registries with the follow‐up time up to date of death, lung cancer diagnosis, or March 31, 2016 (in England and Wales) and Oct 31, 2015 (in Scotland) per censor date defined by UKB. To minimize the possibility of including lung cancer metastasis, we excluded lung cancer that occurred within 5 years of different primary cancer.
[
  • 236 cases
  • , 183,435 controls
]
European UKB
PSS003958
[
  • 7,869 cases
  • , 46,067 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009687 6,423 individuals African unspecified UKB
PSS004470
[
  • 8,934 cases
  • , 58,491 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009688 905 individuals East Asian UKB
PSS009689 43,398 individuals European Non-British European UKB
PSS009690 7,942 individuals South Asian UKB
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)
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)
PSS007988 1,803 individuals East Asian China (East Asia) UKB
PSS007989 1,729 individuals East Asian China (East Asia) UKB
PSS000109 Participants were followed-up for cancer events mainly through linkage with official death certificates, chronic disease registries, and the Chinese national health insurance system. Median = 10.44 years
[
  • 1,316 cases
  • , 94,092 controls
]
,
42.93 % Male samples
Mean = 53.67 years
Se = 10.98 years
East Asian
(Chinese)
CKB
PSS004064
[
  • 485 cases
  • , 6,012 controls
]
African unspecified UKB
PSS004065
[
  • 112 cases
  • , 1,592 controls
]
East Asian UKB
PSS004066
[
  • 2,487 cases
  • , 22,418 controls
]
European non-white British ancestry UKB
PSS004067
[
  • 1,025 cases
  • , 6,806 controls
]
South Asian UKB
PSS004068
[
  • 8,119 cases
  • , 59,306 controls
]
European white British ancestry UKB Testing cohort (heldout set)
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)
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)
PSS004084
[
  • 851 cases
  • , 5,646 controls
]
African unspecified UKB
PSS004085
[
  • 166 cases
  • , 1,538 controls
]
East Asian UKB
PSS004086
[
  • 3,237 cases
  • , 21,668 controls
]
European non-white British ancestry UKB
PSS004087
[
  • 1,196 cases
  • , 6,635 controls
]
South Asian UKB
PSS004088
[
  • 8,933 cases
  • , 58,492 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004089
[
  • 27 cases
  • , 6,470 controls
]
African unspecified UKB
PSS004090
[
  • 4 cases
  • , 1,700 controls
]
East Asian UKB
PSS004091
[
  • 98 cases
  • , 24,807 controls
]
European non-white British ancestry UKB
PSS004092
[
  • 45 cases
  • , 7,786 controls
]
South Asian UKB
PSS004093
[
  • 321 cases
  • , 67,104 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009557 School-age asthma diagnosis, evaluated at age 10, was defined as “a doctor diagnosis of asthma ever and at least one episode of wheezing or use of asthma medication in the last
[
  • 116 cases
  • , 782 controls
]
European MAAS
PSS009558 School-age asthma diagnosis, evaluated at age 10, was defined as “a doctor diagnosis of asthma ever and at least one episode of wheezing or use of asthma medication in the last
[
  • 144 cases
  • , 874 controls
]
European MAAS
PSS009098 4,078 individuals European Poland (NE Europe) UKB
PSS009099 3,959 individuals European Poland (NE Europe) UKB
PSS000276 Primary tumor samples from TCGA
[
  • 908 cases
  • , 0 controls
]
Mean = 67.0 years
Sd = 9.0 years
European TCGA
PSS000276
[
  • 0 cases
  • , 13,427 controls
]
European eMERGE
PSS009831 6,503 individuals African unspecified UKB
PSS009832 922 individuals East Asian UKB
PSS009833 43,505 individuals European Non-British European UKB
PSS009834 8,098 individuals South Asian UKB
PSS004652
[
  • 19 cases
  • , 6,478 controls
]
African unspecified UKB
PSS004653
[
  • 3 cases
  • , 1,701 controls
]
East Asian UKB
PSS004654
[
  • 65 cases
  • , 24,840 controls
]
European non-white British ancestry UKB
PSS004655
[
  • 37 cases
  • , 7,794 controls
]
South Asian UKB
PSS004656
[
  • 204 cases
  • , 67,221 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS000117 Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 22030
[
  • 2,488 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB