| 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
|
| Mapped terms |
37 mapped terms
|
| Child trait(s) |
25 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| 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) |
Laryngeal cancer | 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) |
Laryngeal cancer | 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) |
Laryngeal cancer | 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) |
Respiratory system cancer | 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) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
1,109,069 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000388/ScoringFiles/PGS000388.txt.gz | |
| PGS000389 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000389/ScoringFiles/PGS000389.txt.gz | |
| PGS000390 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000390/ScoringFiles/PGS000390.txt.gz | |
| PGS000391 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
14 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000391/ScoringFiles/PGS000391.txt.gz | |
| PGS000392 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
19 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000392/ScoringFiles/PGS000392.txt.gz | |
| PGS000393 (PRSWEB_PHECODE165.1_LUNG-CANCER_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
1,110,438 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000393/ScoringFiles/PGS000393.txt.gz | |
| PGS000394 (PRSWEB_PHECODE165.1_LUNG-CANCER-MESOT_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
1,110,438 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000394/ScoringFiles/PGS000394.txt.gz | |
| PGS000395 (PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000395/ScoringFiles/PGS000395.txt.gz | |
| PGS000396 (PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
75 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000396/ScoringFiles/PGS000396.txt.gz | |
| PGS000397 (PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Lung and bronchus cancer | tracheal cancer, bronchus cancer, lung cancer |
46,920 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000397/ScoringFiles/PGS000397.txt.gz | |
| 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 |
| PGS001782 (1kgeur_gbmi_Asthma_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Asthma | asthma | 884,043 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001782/ScoringFiles/PGS001782.txt.gz |
| PGS001783 (1kgeur_gbmi_COPD_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Chronic obstructive pulmonary disease | chronic obstructive pulmonary disease | 884,139 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001783/ScoringFiles/PGS001783.txt.gz |
| PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Asthma | asthma | 909,990 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001787/ScoringFiles/PGS001787.txt.gz |
| PGS001788 (1kgeur_gbmi_leaveUKBBout_COPD_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Chronic obstructive pulmonary disease | chronic obstructive pulmonary disease | 910,082 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001788/ScoringFiles/PGS001788.txt.gz |
| PGS001791 (1kgeur_gbmi_leaveUKBBout_IPF_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Idiopathic pulmonary fibrosis | idiopathic pulmonary fibrosis | 910,439 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001791/ScoringFiles/PGS001791.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 |
| PGS002727 (PRS_PA) |
PGP000335 | Namjou B et al. J Allergy Clin Immunol (2022) |
Asthma | asthma | 985,837 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002727/ScoringFiles/PGS002727.txt.gz | |
| PGS002754 (Asthma_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Asthma | asthma | 668,286 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002754/ScoringFiles/PGS002754.txt.gz |
| PGS002808 (PGS20_LC) |
PGP000387 | Qin N et al. Lancet Oncol (2022) |
Lung cancer | lung carcinoma | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002808/ScoringFiles/PGS002808.txt.gz |
| PGS003204 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 4,360 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003204/ScoringFiles/PGS003204.txt.gz | |
| PGS003205 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 5,300 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003205/ScoringFiles/PGS003205.txt.gz | |
| PGS003206 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 9,873 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003206/ScoringFiles/PGS003206.txt.gz | |
| PGS003207 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 355 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003207/ScoringFiles/PGS003207.txt.gz | |
| PGS003208 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 12,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003208/ScoringFiles/PGS003208.txt.gz | |
| PGS003209 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 328,671 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003209/ScoringFiles/PGS003209.txt.gz | |
| PGS003210 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 40,992 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003210/ScoringFiles/PGS003210.txt.gz | |
| PGS003211 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 39,223 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003211/ScoringFiles/PGS003211.txt.gz | |
| PGS003212 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 7,601,206 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003212/ScoringFiles/PGS003212.txt.gz | |
| PGS003213 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 1,111,194 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003213/ScoringFiles/PGS003213.txt.gz | |
| PGS003214 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 5,812 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003214/ScoringFiles/PGS003214.txt.gz | |
| PGS003215 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 1,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003215/ScoringFiles/PGS003215.txt.gz | |
| PGS003216 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 688 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003216/ScoringFiles/PGS003216.txt.gz | |
| PGS003217 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 46 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003217/ScoringFiles/PGS003217.txt.gz | |
| PGS003218 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Sleep apnea | sleep apnea | 12,097 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003218/ScoringFiles/PGS003218.txt.gz | |
| PGS003391 (best_LUCA) |
PGP000413 | Namba S et al. Cancer Res (2022) |
Lung cancer | lung carcinoma | 133 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003391/ScoringFiles/PGS003391.txt.gz |
| PGS003392 (best_LUSC) |
PGP000413 | Namba S et al. Cancer Res (2022) |
Lung squamous cell carcinoma | squamous cell lung carcinoma | 90 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003392/ScoringFiles/PGS003392.txt.gz |
| PGS003393 (best_LUAD) |
PGP000413 | Namba S et al. Cancer Res (2022) |
Lung adenocarcinoma | lung adenocarcinoma | 74 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003393/ScoringFiles/PGS003393.txt.gz |
| PGS003479 (LDPred2_SleepApnea) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Obstructive sleep apnea | obstructive sleep apnea | 836,839 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003479/ScoringFiles/PGS003479.txt.gz |
| PGS003857 (GRS18_BMIunadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea | obstructive sleep apnea | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003857/ScoringFiles/PGS003857.txt.gz |
| PGS003858 (GRS6_BMIadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea (BMI adjusted) | obstructive sleep apnea | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003858/ScoringFiles/PGS003858.txt.gz |
| PGS004164 (PRS16_LC) |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Lung cancer in never smokers | lung carcinoma, smoking status measurement |
16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004164/ScoringFiles/PGS004164.txt.gz |
| PGS004165 (PRS21_LC) |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Lung cancer | lung carcinoma | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004165/ScoringFiles/PGS004165.txt.gz |
| PGS004176 (asthma_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Asthma | asthma | 5,210 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004176/ScoringFiles/PGS004176.txt.gz |
| PGS004177 (asthma_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Asthma | asthma | 6,770 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004177/ScoringFiles/PGS004177.txt.gz |
| PGS004178 (asthma_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Asthma | asthma | 4,924 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004178/ScoringFiles/PGS004178.txt.gz |
| PGS004179 (asthma_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Asthma | asthma | 3,963 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004179/ScoringFiles/PGS004179.txt.gz |
| PGS004180 (asthma_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Asthma | asthma | 3,641 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004180/ScoringFiles/PGS004180.txt.gz |
| PGS004246 (PRS43_lung) |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Lung cancer | lung carcinoma | 43 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004246/ScoringFiles/PGS004246.txt.gz |
| PGS004252 (PRS212_asthma) |
PGP000544 | Zhu Y et al. Ecotoxicol Environ Saf (2023) |
Asthma | asthma | 212 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004252/ScoringFiles/PGS004252.txt.gz |
| PGS004275 (GenoBoost_asthma_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Asthma | asthma | 5,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004275/ScoringFiles/PGS004275.txt.gz |
| PGS004276 (GenoBoost_asthma_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Asthma | asthma | 4,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004276/ScoringFiles/PGS004276.txt.gz |
| PGS004277 (GenoBoost_asthma_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Asthma | asthma | 4,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004277/ScoringFiles/PGS004277.txt.gz |
| PGS004278 (GenoBoost_asthma_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Asthma | asthma | 4,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004278/ScoringFiles/PGS004278.txt.gz |
| PGS004279 (GenoBoost_asthma_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Asthma | asthma | 5,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004279/ScoringFiles/PGS004279.txt.gz |
| PGS004325 (GRS19_LC) |
PGP000559 | Wang Y et al. Front Physiol (2023) |
Lung cancer | lung carcinoma | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004325/ScoringFiles/PGS004325.txt.gz |
| PGS004439 (disease.Asthma.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Asthma | asthma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004439/ScoringFiles/PGS004439.txt.gz |
| PGS004442 (disease.C34.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
C34 (Malignant neoplasm of bronchus and lung) | lung carcinoma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004442/ScoringFiles/PGS004442.txt.gz |
| PGS004465 (disease.J33.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
J33 (Nasal polyp) | Nasal Cavity Polyp | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004465/ScoringFiles/PGS004465.txt.gz |
| PGS004466 (disease.J44.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
J44 (Other chronic obstructive pulmonary disease) | chronic obstructive pulmonary disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004466/ScoringFiles/PGS004466.txt.gz |
| PGS004467 (disease.J45.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
J45 (Asthma) | asthma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004467/ScoringFiles/PGS004467.txt.gz |
| PGS004509 (meta.Asthma.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Asthma | asthma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004509/ScoringFiles/PGS004509.txt.gz |
| PGS004512 (meta.C34.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
C34 (Malignant neoplasm of bronchus and lung) | lung carcinoma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004512/ScoringFiles/PGS004512.txt.gz |
| PGS004535 (meta.J33.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
J33 (Nasal polyp) | Nasal Cavity Polyp | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004535/ScoringFiles/PGS004535.txt.gz |
| PGS004536 (meta.J44.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
J44 (Other chronic obstructive pulmonary disease) | chronic obstructive pulmonary disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004536/ScoringFiles/PGS004536.txt.gz |
| PGS004537 (meta.J45.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
J45 (Asthma) | asthma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004537/ScoringFiles/PGS004537.txt.gz |
| PGS004691 (lung_cancer) |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Lung cancer | lung carcinoma | 950,353 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004691/ScoringFiles/PGS004691.txt.gz | |
| PGS004695 (PRS23_IPF) |
PGP000598 | Wang X et al. Chemosphere (2023) |
Idiopathic pulmonary fibrosis | idiopathic pulmonary fibrosis | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004695/ScoringFiles/PGS004695.txt.gz |
| PGS004723 (asthma_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Asthma | asthma | 985,316 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004723/ScoringFiles/PGS004723.txt.gz |
| PGS004724 (asthma_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Asthma | asthma | 2,342,250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004724/ScoringFiles/PGS004724.txt.gz |
| PGS004725 (asthma_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Asthma | asthma | 3,972,232 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004725/ScoringFiles/PGS004725.txt.gz |
| PGS004726 (asthma_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Asthma | asthma | 2,342,250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004726/ScoringFiles/PGS004726.txt.gz |
| PGS004860 (Genome-wide-PRS) |
PGP000607 | Boumtje V et al. EBioMedicine (2024) |
Lung cancer | lung carcinoma | 1,143,554 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004860/ScoringFiles/PGS004860.txt.gz |
| PGS004877 (INTERVENE_MegaPRS_Asthma) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Asthma | asthma | 870,454 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004877/ScoringFiles/PGS004877.txt.gz | |
| PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Lung cancer | lung carcinoma | 655,479 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004884/ScoringFiles/PGS004884.txt.gz | |
| PGS004955 (PRS23) |
PGP000678 | Zhu M et al. Int J Epidemiol (2023) |
Lung cancer | lung carcinoma | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004955/ScoringFiles/PGS004955.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| 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 | — |
| PPM015573 | PGS000070 (PRS_LC_C) |
PSS009987| East Asian Ancestry| 19,546 individuals |
PGP000387 | Qin N et al. Lancet Oncol (2022) |Ext. |
Reported Trait: Lung cancer | — | — | Odds ratio (OR, high vs low risk): 2.18 [2.00, 2.38] | — | — |
| PPM015575 | PGS000070 (PRS_LC_C) |
PSS009987| East Asian Ancestry| 19,546 individuals |
PGP000387 | Qin N et al. Lancet Oncol (2022) |Ext. |
Reported Trait: Lung cancer x autosomal mosaic loss abnormalities interaction | OR: 2.36 [1.09, 5.08] | — | — | — | — |
| PPM018700 | PGS000070 (PRS_LC_C) |
PSS011073| East Asian Ancestry| 381 individuals |
PGP000494 | Ho PJ et al. Elife (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.68 [0.65, 0.71] | Hazard ratio (HR, high vs low tertile): 2.01 [1.44, 2.81] | age at recruitment | — |
| PPM020283 | PGS000070 (PRS_LC_C) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.726 [0.698, 0.754] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| PPM021774 | PGS000070 (PRS_LC_C) |
PSS011793| East Asian Ancestry| 100,615 individuals |
PGP000678 | Zhu M et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Incident lung cancer | HR: 1.19 [1.13, 1.25] | — | — | Age, sex, smoking status, BMI, highest education level, family history of cancer, personal medical history (previous cancer diagnoses and chronic obstructive pulmonary disease), the forced expiratory volume in 1 second, 10 PCs | — |
| PPM022188 | PGS000070 (PRS_LC_C) |
PSS011836| East Asian Ancestry| 1,197 individuals |
PGP000687 | Lee PH et al. JCO Precis Oncol (2024) |Ext. |
Reported Trait: Incident non-small cell lung cancer | — | — | Hazard ratio (HR, high vs low PGS quartile): 2.33 [0.6, 9.04] | Age, smoking, family history of lung cancer | — |
| PPM022189 | PGS000070 (PRS_LC_C) |
PSS011835| East Asian Ancestry| 1,090 individuals |
PGP000687 | Lee PH et al. JCO Precis Oncol (2024) |Ext. |
Reported Trait: Incident non-small cell lung cancer | — | — | Hazard ratio (HR, high vs low PGS quartile): 2.97 [1.25, 7.07] | Age, smoking, family history of lung cancer | — |
| 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. |
| PPM017166 | PGS000078 (CC_Lung) |
PSS010146| European Ancestry| 1,256 individuals |
PGP000443 | Byrne S et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Lung cancer | HR: 1.26 [1.19, 1.33] | — | — | age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates | — |
| PPM020285 | PGS000078 (CC_Lung) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.728 [0.7, 0.756] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| 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. |
| PPM017173 | PGS000081 (CC_Oral) |
PSS010150| European Ancestry| 415 individuals |
PGP000443 | Byrne S et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Oral cavity and pharyngeal cancers | HR: 1.03 [0.94, 1.14] | — | — | age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates | — |
| 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 |
— | — |
| PPM020284 | PGS000156 (cGRS_Lung) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.732 [0.704, 0.76] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| 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 |
| PPM020287 | PGS000391 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_MGI_20200608) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.731 [0.703, 0.759] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| PPM001077 | PGS000392 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608) |
PSS000566| European Ancestry| 12,201 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of bronchus; lung | OR: 1.221 [1.149, 1.298] β: 0.2 (0.0313) |
AUROC: 0.552 [0.534, 0.569] | Nagelkerke's Pseudo-R²: 0.00728 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 1.94 [1.22, 3.1] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608 |
| PPM020288 | PGS000392 (PRSWEB_PHECODE165.1_GWAS-Catalog-r2019-05-03-X165.1_PT_UKB_20200608) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.733 [0.705, 0.761] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| PPM001078 | PGS000393 (PRSWEB_PHECODE165.1_LUNG-CANCER_PRS-CS_MGI_20200608) |
PSS000541| European Ancestry| 4,698 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of bronchus; lung | OR: 1.149 [1.04, 1.269] β: 0.139 (0.0509) |
AUROC: 0.539 [0.508, 0.568] | Nagelkerke's Pseudo-R²: 0.00329 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 2.18 [1.06, 4.46] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_LUNG-CANCER_PRS-CS_MGI_20200608 |
| PPM001079 | PGS000394 (PRSWEB_PHECODE165.1_LUNG-CANCER-MESOT_PRS-CS_MGI_20200608) |
PSS000541| European Ancestry| 4,698 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of bronchus; lung | OR: 1.149 [1.04, 1.269] β: 0.139 (0.0509) |
AUROC: 0.539 [0.508, 0.568] | Nagelkerke's Pseudo-R²: 0.00329 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 2.18 [1.06, 4.46] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_LUNG-CANCER-MESOT_PRS-CS_MGI_20200608 |
| PPM001080 | PGS000395 (PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PRS-CS_MGI_20200608) |
PSS000541| European Ancestry| 4,698 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of bronchus; lung | OR: 1.133 [1.025, 1.252] β: 0.125 (0.051) |
AUROC: 0.533 [0.505, 0.562] | Nagelkerke's Pseudo-R²: 0.00277 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 1.27 [0.514, 3.12] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PRS-CS_MGI_20200608 |
| PPM001081 | PGS000396 (PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PT_MGI_20200608) |
PSS000541| European Ancestry| 4,698 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of bronchus; lung | OR: 1.121 [1.015, 1.238] β: 0.114 (0.0507) |
AUROC: 0.525 [0.496, 0.554] | Nagelkerke's Pseudo-R²: 0.00233 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 2.21 [1.08, 4.51] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_PT_MGI_20200608 |
| PPM001082 | PGS000397 (PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_LASSOSUM_MGI_20200608) |
PSS000541| European Ancestry| 4,698 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of bronchus; lung | OR: 1.114 [1.009, 1.23] β: 0.108 (0.0507) |
AUROC: 0.528 [0.503, 0.556] | Nagelkerke's Pseudo-R²: 0.00202 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 1.03 [0.387, 2.77] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE165.1_UKBB-SAIGE-HRC-X165.1_LASSOSUM_MGI_20200608 |
| 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 | — |
| PPM018701 | PGS000721 (PRS_Lung) |
PSS011072| East Asian Ancestry| 181 individuals |
PGP000494 | Ho PJ et al. Elife (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.69 [0.65, 0.73] | Hazard ratio (HR, high vs low tertile): 1.69 [1.03, 2.79] | age at recruitment | — |
| PPM020286 | PGS000721 (PRS_Lung) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.738 [0.71, 0.766] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| 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) |
| PPM020289 | PGS000740 (PRS128_LC) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.73 [0.702, 0.758] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| PPM021377 | PGS000740 (PRS128_LC) |
PSS011713| European Ancestry| 1,915 individuals |
PGP000646 | Trendowski MR et al. Cancer Epidemiol Biomarkers Prev (2023) |Ext. |
Reported Trait: Lung cancer | OR: 1.16 [1.04, 1.29] | — | — | Age, sex, pack-years, history of COPD, family history of lung cancer, 5 PCs | Only 80 of 128 SNPs were available for analysis |
| PPM021378 | PGS000740 (PRS128_LC) |
PSS011712| African Ancestry| 1,123 individuals |
PGP000646 | Trendowski MR et al. Cancer Epidemiol Biomarkers Prev (2023) |Ext. |
Reported Trait: Lung cancer | OR: 0.99 [0.85, 1.15] | — | — | Age, sex, pack-years, history of COPD, family history of lung cancer, 5 PCs | Only 80 of 128 SNPs were available for analysis |
| 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) |
R²: 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) |
R²: 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) |
R²: 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) |
R²: 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) |
R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 0.01206 Incremental AUROC (full-covars): 0.00409 PGS R2 (no covariates): 0.00275 PGS AUROC (no covariates): 0.53243 [0.50926, 0.55561] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008285 | PGS001109 (GBE_HC1021) |
PSS004070| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.54528 [0.51116, 0.5794] | R²: 0.01457 Incremental AUROC (full-covars): 0.00387 PGS R2 (no covariates): 0.00105 PGS AUROC (no covariates): 0.51375 [0.47834, 0.54917] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008286 | PGS001109 (GBE_HC1021) |
PSS004071| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.6003 [0.58786, 0.61273] | R²: 0.0217 Incremental AUROC (full-covars): 0.02658 PGS R2 (no covariates): 0.00981 PGS AUROC (no covariates): 0.56712 [0.55454, 0.57969] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008287 | PGS001109 (GBE_HC1021) |
PSS004072| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.55379 [0.53392, 0.57366] | R²: 0.00762 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.00254 PGS AUROC (no covariates): 0.53239 [0.51256, 0.55222] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008288 | PGS001109 (GBE_HC1021) |
PSS004073| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vasomotor and allergic rhinitis | — | AUROC: 0.59854 [0.59138, 0.6057] | R²: 0.02303 Incremental AUROC (full-covars): 0.02878 PGS R2 (no covariates): 0.0118 PGS AUROC (no covariates): 0.56998 [0.56268, 0.57727] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 0.01784 Incremental AUROC (full-covars): -0.00253 PGS R2 (no covariates): 0.00082 PGS AUROC (no covariates): 0.51547 [0.48626, 0.54467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008801 | PGS001259 (GBE_HC49) |
PSS004512| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.56313 [0.52505, 0.60122] | R²: 0.02281 Incremental AUROC (full-covars): 0.00075 PGS R2 (no covariates): 0.0011 PGS AUROC (no covariates): 0.52627 [0.48539, 0.56716] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008802 | PGS001259 (GBE_HC49) |
PSS004513| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60641 [0.59175, 0.62107] | R²: 0.02043 Incremental AUROC (full-covars): 0.01519 PGS R2 (no covariates): 0.00564 PGS AUROC (no covariates): 0.55414 [0.53891, 0.56936] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008803 | PGS001259 (GBE_HC49) |
PSS004514| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60093 [0.57427, 0.6276] | R²: 0.02041 Incremental AUROC (full-covars): 0.00631 PGS R2 (no covariates): 0.00266 PGS AUROC (no covariates): 0.54086 [0.51259, 0.56913] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008804 | PGS001259 (GBE_HC49) |
PSS004515| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hayfever/allergic rhinitis | — | AUROC: 0.60078 [0.59218, 0.60937] | R²: 0.02042 Incremental AUROC (full-covars): 0.01922 PGS R2 (no covariates): 0.00737 PGS AUROC (no covariates): 0.5597 [0.55096, 0.56843] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009117 | PGS001326 (GBE_HC431) |
PSS004496| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.79508 [0.66687, 0.92329] | R²: 0.11615 Incremental AUROC (full-covars): -0.00299 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.54363 [0.35853, 0.72873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009118 | PGS001326 (GBE_HC431) |
PSS004497| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.98854 [0.98287, 0.99422] | R²: 0.35967 Incremental AUROC (full-covars): 0.00059 PGS R2 (no covariates): 0.01376 PGS AUROC (no covariates): 0.67098 [0.43987, 0.90208] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009119 | PGS001326 (GBE_HC431) |
PSS004498| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.7867 [0.75313, 0.82026] | R²: 0.09488 Incremental AUROC (full-covars): -0.00065 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.49994 [0.45601, 0.54388] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009120 | PGS001326 (GBE_HC431) |
PSS004499| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.78275 [0.67463, 0.89087] | R²: 0.0813 Incremental AUROC (full-covars): 0.00398 PGS R2 (no covariates): 0.00648 PGS AUROC (no covariates): 0.59809 [0.42688, 0.7693] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009121 | PGS001326 (GBE_HC431) |
PSS004500| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.72797 [0.70437, 0.75156] | R²: 0.05838 Incremental AUROC (full-covars): 0.00547 PGS R2 (no covariates): 0.00531 PGS AUROC (no covariates): 0.56911 [0.54137, 0.59684] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009146 | PGS001332 (GBE_HC442) |
PSS004506| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.75825 [0.69744, 0.81905] | R²: 0.08985 Incremental AUROC (full-covars): 0.00297 PGS R2 (no covariates): 0.00366 PGS AUROC (no covariates): 0.56943 [0.4939, 0.64496] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009147 | PGS001332 (GBE_HC442) |
PSS004507| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.93404 [0.85456, 1.0] | R²: 0.35918 Incremental AUROC (full-covars): 0.00775 PGS R2 (no covariates): 0.05713 PGS AUROC (no covariates): 0.78102 [0.65685, 0.90519] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009148 | PGS001332 (GBE_HC442) |
PSS004508| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.75808 [0.74076, 0.77539] | R²: 0.10489 Incremental AUROC (full-covars): 0.0013 PGS R2 (no covariates): 0.00194 PGS AUROC (no covariates): 0.53674 [0.51446, 0.55902] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009149 | PGS001332 (GBE_HC442) |
PSS004509| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.74266 [0.70089, 0.78443] | R²: 0.08552 Incremental AUROC (full-covars): -0.00028 PGS R2 (no covariates): 0.00048 PGS AUROC (no covariates): 0.51815 [0.46516, 0.57113] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009150 | PGS001332 (GBE_HC442) |
PSS004510| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.73063 [0.71971, 0.74156] | R²: 0.08401 Incremental AUROC (full-covars): 0.003 PGS R2 (no covariates): 0.00235 PGS AUROC (no covariates): 0.53971 [0.52633, 0.5531] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009151 | PGS001333 (GBE_HC1582) |
PSS004297| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.68968 [0.6281, 0.75125] | R²: 0.05389 Incremental AUROC (full-covars): -0.00542 PGS R2 (no covariates): 5e-05 PGS AUROC (no covariates): 0.49374 [0.43492, 0.55257] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009152 | PGS001333 (GBE_HC1582) |
PSS004298| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.77182 [0.67988, 0.86376] | R²: 0.12635 Incremental AUROC (full-covars): -0.00429 PGS R2 (no covariates): 0.00238 PGS AUROC (no covariates): 0.55811 [0.43123, 0.68498] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009153 | PGS001333 (GBE_HC1582) |
PSS004299| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.71622 [0.70023, 0.7322] | R²: 0.08141 Incremental AUROC (full-covars): 0.00289 PGS R2 (no covariates): 0.00236 PGS AUROC (no covariates): 0.53939 [0.52155, 0.55723] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009154 | PGS001333 (GBE_HC1582) |
PSS004300| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.71121 [0.67474, 0.74767] | R²: 0.06785 Incremental AUROC (full-covars): 0.00468 PGS R2 (no covariates): 0.00251 PGS AUROC (no covariates): 0.53996 [0.49615, 0.58377] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009155 | PGS001333 (GBE_HC1582) |
PSS004301| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.70059 [0.69045, 0.71072] | R²: 0.06924 Incremental AUROC (full-covars): 0.0031 PGS R2 (no covariates): 0.00218 PGS AUROC (no covariates): 0.5364 [0.52484, 0.54796] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009156 | PGS001334 (GBE_HC1035) |
PSS004079| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.75968 [0.69978, 0.81959] | R²: 0.09174 Incremental AUROC (full-covars): -0.0023 PGS R2 (no covariates): 0.00029 PGS AUROC (no covariates): 0.4865 [0.41003, 0.56298] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009157 | PGS001334 (GBE_HC1035) |
PSS004080| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.92777 [0.86245, 0.9931] | R²: 0.33262 Incremental AUROC (full-covars): 0.00135 PGS R2 (no covariates): 0.00048 PGS AUROC (no covariates): 0.52185 [0.32406, 0.71963] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009158 | PGS001334 (GBE_HC1035) |
PSS004081| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.75602 [0.73955, 0.77249] | R²: 0.10564 Incremental AUROC (full-covars): 0.00136 PGS R2 (no covariates): 0.00195 PGS AUROC (no covariates): 0.53598 [0.51506, 0.55689] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009159 | PGS001334 (GBE_HC1035) |
PSS004082| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.74851 [0.70987, 0.78716] | R²: 0.09156 Incremental AUROC (full-covars): 0.00157 PGS R2 (no covariates): 0.00202 PGS AUROC (no covariates): 0.53954 [0.49035, 0.58873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009160 | PGS001334 (GBE_HC1035) |
PSS004083| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.72542 [0.71492, 0.73591] | R²: 0.0827 Incremental AUROC (full-covars): 0.00368 PGS R2 (no covariates): 0.00314 PGS AUROC (no covariates): 0.54658 [0.5339, 0.55926] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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 |
| 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] | R²: 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 |
| 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] | R²: 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] | R²: 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 |
| 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — |
| PPM009311 | PGS001782 (1kgeur_gbmi_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007693| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.659 | Nagelkerke's R2 (covariates regressed out): 0.04884 | sex,age, 20PCs | — |
| PPM009312 | PGS001783 (1kgeur_gbmi_COPD_pst_eff_a1_b0.5_phiauto) |
PSS007694| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Chronic obstructive pulmonary disease | — | AUROC: 0.74 | Nagelkerke's R2 (covariates regressed out): 0.03809 | sex,age, 20PCs | — |
| PPM009307 | PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007706| East Asian Ancestry| 2,633 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.679 | Nagelkerke's R2 (covariates regressed out): 0.00679 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009308 | PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007698| African Ancestry| 6,152 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.627 | Nagelkerke's R2 (covariates regressed out): 0.00814 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009291 | PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007710| European Ancestry| 351,578 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.64 | Nagelkerke's R2 (covariates regressed out): 0.03517 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009301 | PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007701| Additional Diverse Ancestries| 965 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.796 | Nagelkerke's R2 (covariates regressed out): 0.0895 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009302 | PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007720| Greater Middle Eastern Ancestry| 1,529 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.689 | Nagelkerke's R2 (covariates regressed out): 0.03763 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009303 | PGS001787 (1kgeur_gbmi_leaveUKBBout_Asthma_pst_eff_a1_b0.5_phiauto) |
PSS007702| Additional Asian Ancestries| 8,101 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Asthma | — | AUROC: 0.651 | Nagelkerke's R2 (covariates regressed out): 0.02455 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009292 | PGS001788 (1kgeur_gbmi_leaveUKBBout_COPD_pst_eff_a1_b0.5_phiauto) |
PSS007711| European Ancestry| 337,168 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Chronic obstructive pulmonary disease | — | AUROC: 0.715 | Nagelkerke's R2 (covariates regressed out): 0.0163 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009295 | PGS001791 (1kgeur_gbmi_leaveUKBBout_IPF_pst_eff_a1_b0.5_phiauto) |
PSS007714| European Ancestry| 347,350 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Idiopathic pulmonary fibrosis | — | AUROC: 0.758 | Nagelkerke's R2 (covariates regressed out): 0.00593 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| 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 | — |
| PPM020290 | PGS002270 (PRS33_LC) |
PSS011324| European Ancestry| 1,202 individuals |
PGP000539 | Lebrett MB et al. Genet Med (2023) |Ext. |
Reported Trait: Lung cancer | — | AUROC: 0.725 [0.697, 0.754] | — | Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio | — |
| 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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*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*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014754 | PGS002727 (PRS_PA) |
PSS009885| East Asian Ancestry| 1,671 individuals |
PGP000335 | Namjou B et al. J Allergy Clin Immunol (2022) |
Reported Trait: Pediatric asthma | OR: 1.32 [0.99, 1.77] | AUROC: 0.73 [0.66, 0.8] | R²: 0.08 | — | — |
| PPM014755 | PGS002727 (PRS_PA) |
PSS009887| South Asian Ancestry| 8,736 individuals |
PGP000335 | Namjou B et al. J Allergy Clin Immunol (2022) |
Reported Trait: Pediatric asthma | OR: 1.32 [1.18, 1.48] | AUROC: 0.65 [0.62, 0.68] | R²: 0.03 | — | — |
| PPM014752 | PGS002727 (PRS_PA) |
PSS009884| African Ancestry| 7,818 individuals |
PGP000335 | Namjou B et al. J Allergy Clin Immunol (2022) |
Reported Trait: Pediatric asthma | OR: 1.43 [1.24, 1.65] | AUROC: 0.66 [0.63, 0.69] | R²: 0.03 | — | — |
| PPM014753 | PGS002727 (PRS_PA) |
PSS009888| Hispanic or Latin American Ancestry| 5,225 individuals |
PGP000335 | Namjou B et al. J Allergy Clin Immunol (2022) |
Reported Trait: Pediatric asthma | OR: 1.63 [1.36, 1.95] | AUROC: 0.7 [0.67, 0.74] | R²: 0.07 | — | — |
| PPM014751 | PGS002727 (PRS_PA) |
PSS009886| European Ancestry| 391,820 individuals |
PGP000335 | Namjou B et al. J Allergy Clin Immunol (2022) |
Reported Trait: Pediatric asthma | OR: 1.57 [1.55, 1.6] | AUROC: 0.66 [0.65, 0.67] | R²: 0.04 | — | — |
| PPM014954 | PGS002754 (Asthma_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Asthma | OR: 1.43 [1.39, 1.48] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM015574 | PGS002808 (PGS20_LC) |
PSS009988| European Ancestry| 450,821 individuals |
PGP000387 | Qin N et al. Lancet Oncol (2022) |
Reported Trait: Lung cancer | — | — | Hazard ratio (HR, high vs low risk): 1.48 [1.31, 1.68] | — | — |
| PPM015576 | PGS002808 (PGS20_LC) |
PSS009988| European Ancestry| 450,821 individuals |
PGP000387 | Qin N et al. Lancet Oncol (2022) |
Reported Trait: Lung cancer x autosomal mosaic loss abnormalities interaction | HR: 1.95 [1.02, 3.7] | — | — | — | — |
| PPM015959 | PGS003204 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.983 [0.952, 1.014] β: -0.0174 (0.016) |
AUROC: 0.49 [0.482, 0.499] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015965 | PGS003205 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.998 [0.967, 1.03] β: -0.00225 (0.0161) |
AUROC: 0.5 [0.491, 0.509] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015961 | PGS003206 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.975 [0.945, 1.007] β: -0.0252 (0.0162) |
AUROC: 0.49 [0.48, 0.499] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015957 | PGS003207 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.975 [0.945, 1.005] β: -0.0258 (0.016) |
AUROC: 0.492 [0.484, 0.501] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015963 | PGS003208 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.016 [0.984, 1.048] β: 0.0154 (0.0161) |
AUROC: 0.505 [0.497, 0.514] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015953 | PGS003209 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_LASSOSUM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.053 [1.02, 1.087] β: 0.0517 (0.0162) |
AUROC: 0.514 [0.506, 0.523] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015956 | PGS003210 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PT_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.073 [1.04, 1.108] β: 0.0708 (0.0162) |
AUROC: 0.519 [0.51, 0.528] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015954 | PGS003211 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PLINK_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.061 [1.028, 1.096] β: 0.0595 (0.0162) |
AUROC: 0.515 [0.506, 0.525] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015952 | PGS003212 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_DBSLMM_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.014 [0.982, 1.046] β: 0.0135 (0.016) |
AUROC: 0.496 [0.487, 0.504] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015955 | PGS003213 (ExPRSweb_SleepApnea_G6-SLEEPAPNO_PRSCS_MGI_20211120) |
PSS010012| European Ancestry| 21,354 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.106 [1.071, 1.142] β: 0.101 (0.0162) |
AUROC: 0.527 [0.517, 0.536] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015960 | PGS003214 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_LASSOSUM_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.004 [0.962, 1.047] β: 0.00364 (0.0214) |
AUROC: 0.5 [0.489, 0.513] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015966 | PGS003215 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PT_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 0.967 [0.928, 1.009] β: -0.0331 (0.0215) |
AUROC: 0.489 [0.477, 0.501] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015962 | PGS003216 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PLINK_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | β: -0.00819 (0.0214) OR: 0.992 [0.951, 1.034] |
AUROC: 0.497 [0.485, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015958 | PGS003217 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_DBSLMM_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.021 [0.98, 1.064] β: 0.0207 (0.0211) |
AUROC: 0.485 [0.475, 0.495] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015964 | PGS003218 (ExPRSweb_SleepApnea_finngen-R4-G6-SLEEPAPNO_PRSCS_UKB_20211120) |
PSS010032| European Ancestry| 203,685 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Sleep Apnea | OR: 1.003 [0.962, 1.046] β: 0.00286 (0.0214) |
AUROC: 0.5 [0.488, 0.512] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016266 | PGS003391 (best_LUCA) |
PSS010081| European Ancestry| 271,540 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: lung cancer | — | AUROC: 0.729 | R²: 0.00135 | age, sex, top 20 genetic principal components | — |
| PPM016267 | PGS003392 (best_LUSC) |
PSS010082| European Ancestry| 270,054 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: lung squamous cell carcinoma | — | AUROC: 0.778 | R²: 0.00075 | age, sex, top 20 genetic principal components | — |
| PPM016268 | PGS003393 (best_LUAD) |
PSS010080| European Ancestry| 270,412 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: lung adenocarcinoma | — | AUROC: 0.743 | R²: 0.00649 | age, sex, top 20 genetic principal components | — |
| PPM017318 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP | β: 0.038 (0.093) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017319 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Eosinophils count | β: 0.003 (0.002) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017320 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: FEV1/FVC ratio | β: -0.035 (0.06) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017321 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin | β: 0.156 (0.091) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017322 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c | β: 0.291 (0.122) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017323 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Hematocrit | β: 0.039 (0.031) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017324 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Hemoglobin | β: 0.014 (0.011) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017325 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B | β: 1.851 (1.169) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017326 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR | β: 0.051 (0.03) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017327 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Heart rate | β: 0.038 (0.106) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017328 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Insomnia | β: 0.015 (0.049) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017329 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: LDL | β: -0.358 (0.336) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017330 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Lymphocyte count | β: 0.002 (0.007) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017331 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Mean arterial pressure | β: 0.011 (0.102) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017333 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: RBC | β: 0.003 (0.003) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017334 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Sleep duration | β: 0.0 (0.013) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017335 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Total cholesterol | β: -0.324 (0.391) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017336 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Triglycerides | β: 0.725 (0.93) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017337 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: WBC | β: 0.006 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017338 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio | β: 0.002 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017339 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: FEV1/FVC ratio | β: 0.002 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017380 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP in obsese | β: -0.084 (0.148) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017381 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: DBP in non-obsese | β: 0.116 (0.118) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017382 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin in obsese | β: 0.201 (0.161) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017383 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Fasting insulin in non-obsese | β: 0.175 (0.089) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017384 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c in obsese | β: 0.052 (0.197) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017385 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HbA1c in non-obsese | β: 0.488 (0.151) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017386 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B in obsese | β: 0.724 (2.105) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017387 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-B in non-obsese | β: 1.664 (1.084) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017388 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR in obsese | β: 0.076 (0.057) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017389 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: HOMA-IR in non-obsese | β: 0.062 (0.029) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017390 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio in obsese | β: 0.002 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017391 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Waist hip ratio in non-obsese | β: 0.001 (0.001) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017332 | PGS003479 (LDPred2_SleepApnea) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Pulse pressure | β: -0.073 (0.104) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM018710 | PGS003857 (GRS18_BMIunadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI adjusted obstructive sleep apnea | β: 0.014 (0.017) | AUROC: 0.77 [0.75, 0.78] | — | BMI, age, sex, genetic batch, PCs 1-10 | — |
| PPM018709 | PGS003857 (GRS18_BMIunadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI unadjusted obstructive sleep apnea | β: 0.082 (0.016) | AUROC: 0.66 [0.64, 0.67] | — | age, sex, genetic batch, PCs 1-10 | — |
| PPM018711 | PGS003858 (GRS6_BMIadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI unadjusted obstructive sleep apnea | β: 0.048 (0.015) | AUROC: 0.62 [0.61, 0.64] | — | age, sex, genetic batch, PCs 1-10 | — |
| PPM018712 | PGS003858 (GRS6_BMIadj) |
PSS011076| Multi-ancestry (including European)| 40,193 individuals |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Reported Trait: BMI adjusted obstructive sleep apnea | β: 0.066 (0.017) | AUROC: 0.77 [0.76, 0.79] | — | BMI, age, sex, genetic batch, PCs 1-10 | — |
| PPM020095 | PGS004164 (PRS16_LC) |
PSS011294| East Asian Ancestry| 55,266 individuals |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Reported Trait: Lung cancer in never smokers | HR: 1.28 [1.17, 1.4] | — | — | age, education, BMI, COPD history, personal history of cancer, family history of cancer, and the first 10 principal components of ancestry | — |
| PPM020096 | PGS004165 (PRS21_LC) |
PSS011294| East Asian Ancestry| 55,266 individuals |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Reported Trait: Lung cancer in never smokers | HR: 1.29 [1.18, 1.41] | — | — | age, education, BMI, COPD history, personal history of cancer, family history of cancer, and the first 10 principal components of ancestry | — |
| PPM020097 | PGS004165 (PRS21_LC) |
PSS011294| East Asian Ancestry| 55,266 individuals |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Reported Trait: Incident lung cancer in never smokers | — | — | Hazard ratio (HR, high vs low risk): 2.09 [1.56, 2.8] | age, first 10 principal components of ancestry, MI, education, COPD history, personal history of cancer and family history of cancer | — |
| PPM020109 | PGS004176 (asthma_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Asthma | — | AUROC: 0.62651 | — | year of birth, sex | — |
| PPM020110 | PGS004176 (asthma_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Asthma | — | AUROC: 0.62694 | — | year of birth, sex | — |
| PPM020111 | PGS004176 (asthma_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Asthma | — | AUROC: 0.62779 | — | year of birth, sex | — |
| PPM020112 | PGS004176 (asthma_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Asthma | — | AUROC: 0.62504 | — | year of birth, sex | — |
| PPM020113 | PGS004176 (asthma_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Asthma | — | AUROC: 0.62557 | — | year of birth, sex | — |
| PPM020311 | PGS004246 (PRS43_lung) |
PSS011329| European Ancestry| 115,207 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Lung cancer | HR: 1.2 [1.11, 1.3] | — | — | first 10 genetic principal components | — |
| PPM020303 | PGS004246 (PRS43_lung) |
PSS011328| European Ancestry| 133,830 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Lung cancer | HR: 1.18 [1.08, 1.28] | — | — | first 10 genetic principal components | — |
| PPM020318 | PGS004252 (PRS212_asthma) |
PSS011331| European Ancestry| 298,738 individuals |
PGP000544 | Zhu Y et al. Ecotoxicol Environ Saf (2023) |
Reported Trait: Incident asthma | HR: 1.59 [1.5, 1.69] | — | — | age, sex, region, employment status, household income, educational level, Townsend deprivation index, smoking status, drinking status, diet, and physical activity, relatedness, number of alleles included in the polygenic risk score, and first 20 principal components of ancestry | — |
| PPM021390 | PGS004252 (PRS212_asthma) |
PSS011723| European Ancestry| 327,124 individuals |
PGP000651 | Liang H et al. ERJ Open Res (2023) |Ext. |
Reported Trait: Incident asthma | — | — | Hazard ratio (HR, high vs low PRS tertile): 1.59 [1.5, 1.73] | Age, sex, education, Townsend Index, alcohol status, region, relatedness, number of alleles included in the polygenic risk score, 20 PCs | — |
| PPM020343 | PGS004275 (GenoBoost_asthma_0) |
PSS011344| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Asthma | — | AUROC: 0.613 | Covariate-adjusted pseudo-R2: 0.03314 AUPRC: 0.20819 |
age, sex, PC1-10 | — |
| PPM020344 | PGS004276 (GenoBoost_asthma_1) |
PSS011344| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Asthma | — | AUROC: 0.60893 | Covariate-adjusted pseudo-R2: 0.03015 AUPRC: 0.20397 |
age, sex, PC1-10 | — |
| PPM020345 | PGS004277 (GenoBoost_asthma_2) |
PSS011344| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Asthma | — | AUROC: 0.60862 | Covariate-adjusted pseudo-R2: 0.02971 AUPRC: 0.2033 |
age, sex, PC1-10 | — |
| PPM020346 | PGS004278 (GenoBoost_asthma_3) |
PSS011344| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Asthma | — | AUROC: 0.61057 | Covariate-adjusted pseudo-R2: 0.03076 AUPRC: 0.20281 |
age, sex, PC1-10 | — |
| PPM020347 | PGS004279 (GenoBoost_asthma_4) |
PSS011344| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Asthma | — | AUROC: 0.61262 | Covariate-adjusted pseudo-R2: 0.03191 AUPRC: 0.205 |
age, sex, PC1-10 | — |
| PPM020438 | PGS004325 (GRS19_LC) |
PSS011362| European Ancestry| 308,490 individuals |
PGP000559 | Wang Y et al. Front Physiol (2023) |
Reported Trait: Lung carcinogenesis (in smokers) | — | — | Hazard ratio (HR, highest PRS quintile and heavy smokers vs lowest PRS quintile and never smokers): 4.63 [3.0, 7.13] | Education, sex, genotype array, and the first ten important components | — |
| PPM020439 | PGS004325 (GRS19_LC) |
PSS011362| European Ancestry| 308,490 individuals |
PGP000559 | Wang Y et al. Front Physiol (2023) |
Reported Trait: Lung carcinogenesis | — | — | Hazard ratio (HR, highest vs lowest PRS quintiles): 1.58 [1.21, 2.08] | Education, sex, genotype array, the first ten primary components, quit time for smokers only, and pack-years for smokers | — |
| PPM020554 | PGS004439 (disease.Asthma.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Asthma | OR: 1.37056 | — | — | — | — |
| PPM020557 | PGS004442 (disease.C34.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: C34 (Malignant neoplasm of bronchus and lung) | OR: 1.16807 | — | — | — | — |
| PPM020580 | PGS004465 (disease.J33.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: J33 (Nasal polyp) | OR: 1.3496 | — | — | — | — |
| PPM020581 | PGS004466 (disease.J44.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: J44 (Other chronic obstructive pulmonary disease) | OR: 1.30839 | — | — | — | — |
| PPM020582 | PGS004467 (disease.J45.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: J45 (Asthma) | OR: 1.32925 | — | — | — | — |
| PPM020624 | PGS004509 (meta.Asthma.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Asthma | OR: 1.40799 | — | — | — | — |
| PPM020627 | PGS004512 (meta.C34.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: C34 (Malignant neoplasm of bronchus and lung) | OR: 1.31649 | — | — | — | — |
| PPM020650 | PGS004535 (meta.J33.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: J33 (Nasal polyp) | OR: 1.60067 | — | — | — | — |
| PPM020651 | PGS004536 (meta.J44.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: J44 (Other chronic obstructive pulmonary disease) | OR: 1.48758 | — | — | — | — |
| PPM020652 | PGS004537 (meta.J45.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: J45 (Asthma) | OR: 1.40091 | — | — | — | — |
| PPM020876 | PGS004691 (lung_cancer) |
PSS011435| European Ancestry| 40,850 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Lung cancer | — | AUROC: 0.6178 | — | — | — |
| PPM020881 | PGS004695 (PRS23_IPF) |
PSS011440| European Ancestry| 402,042 individuals |
PGP000598 | Wang X et al. Chemosphere (2023) |
Reported Trait: Incident idiopathic pulmonary fibrosis | — | — | Hazard ratio (HR, high vs low PRS quintile): 3.78 [3.3, 4.34] | Age, sex, education level, smoking status, pack-years of smoking, BMI | — |
| PPM020948 | PGS004723 (asthma_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Asthma | — | — | Incremental R2 (Full model versus model with only covariates): 0.033 [0.026, 0.04] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020949 | PGS004724 (asthma_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Asthma | — | — | Incremental R2 (Full model versus model with only covariates): 0.065 [0.055, 0.075] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020950 | PGS004725 (asthma_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Asthma | — | — | Incremental R2 (Full model versus model with only covariates): 0.039 [0.031, 0.047] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020951 | PGS004726 (asthma_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Asthma | — | — | Incremental R2 (Full model versus model with only covariates): 0.069 [0.059, 0.08] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021091 | PGS004860 (Genome-wide-PRS) |
PSS011520| European Ancestry| 24,012 individuals |
PGP000607 | Boumtje V et al. EBioMedicine (2024) |
Reported Trait: Incident lung cancer | OR: 1.33 | AUROC: 0.893 [0.887, 0.898] | R²: 0.49 | Sex, age,BMI, smocking status(ever or never smoker), and the first 10 ancestry-based PCA | — |
| PPM021195 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011664| European Ancestry| 33,589 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.27 [1.24, 1.3] | C-index: 0.57 [0.57, 0.58] | — | PCs 1-10 | — |
| PPM021196 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011663| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.48 [1.43, 1.52] | C-index: 0.62 [0.61, 0.63] | — | PCs 1-10 | — |
| PPM021197 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011662| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.47 [1.43, 1.52] | C-index: 0.61 [0.6, 0.62] | — | PCs 1-10 | — |
| PPM021198 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011660| European Ancestry| 44,187 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.39 [1.35, 1.43] | — | — | PCs 1-10 | — |
| PPM021200 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011659| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.42 [1.41, 1.44] | C-index: 0.61 [0.61, 0.62] | — | PCs 1-10 | — |
| PPM021201 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011658| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.35 [1.33, 1.37] | C-index: 0.6 [0.6, 0.6] | — | PCs 1-10 | — |
| PPM021199 | PGS004877 (INTERVENE_MegaPRS_Asthma) |
PSS011661| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Asthma | HR: 1.41 [1.32, 1.5] | C-index: 0.6 [0.58, 0.62] | — | PCs 1-10 | — |
| PPM021245 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011607| European Ancestry| 38,448 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.13 [1.07, 1.19] | C-index: 0.54 [0.52, 0.56] | — | PCs 1-10 | — |
| PPM021246 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011606| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.32 [1.24, 1.4] | C-index: 0.59 [0.57, 0.61] | — | PCs 1-10 | — |
| PPM021247 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011605| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.26 [1.2, 1.33] | C-index: 0.6 [0.58, 0.62] | — | PCs 1-10 | — |
| PPM021248 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011603| European Ancestry| 44,187 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.43 [1.06, 1.93] | — | — | PCs 1-10 | — |
| PPM021249 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011604| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.21 [1.03, 1.41] | C-index: 0.62 [0.57, 0.67] | — | PCs 1-10 | — |
| PPM021250 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011602| European Ancestry| 277,400 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.24 [1.2, 1.28] | C-index: 0.62 [0.61, 0.63] | — | PCs 1-10 | — |
| PPM021251 | PGS004884 (INTERVENE_MegaPRS_Lung_cancer) |
PSS011601| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident lung cancer | HR: 1.08 [1.01, 1.16] | C-index: 0.57 [0.54, 0.59] | — | PCs 1-10 | — |
| PPM021775 | PGS004955 (PRS23) |
PSS011794| European Ancestry| 406,880 individuals |
PGP000678 | Zhu M et al. Int J Epidemiol (2023) |
Reported Trait: Incident lung cancer | HR: 1.24 [1.19, 1.29] | — | — | Age, sex, smoking status, BMI, highest education level, family history of cancer, personal medical history (previous cancer diagnoses and chronic obstructive pulmonary disease), the forced expiratory volume in 1 second, 10 PCs | — |
|
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 | — | [ ,
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). | — | [
|
— | European | — | UKB | — |
| PSS011435 | — | — | [
|
— | European | — | UKB | — |
| PSS003957 | — | — | [
|
— | 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 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003677 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003678 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003679 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003680 | — | — | [
|
— | 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) |
| PSS011440 | — | Median = 11.78 years | [ ,
46.66 % Male samples |
Mean = 56.41 years Sd = 8.04 years |
European | — | UKB | — |
| PSS011712 | — | — | [ ,
43.5 % Male samples |
— | African unspecified | — | INHALE | — |
| PSS011713 | — | — | [ ,
47.2 % Male samples |
— | European | — | INHALE | — |
| PSS007693 | — | — | [
|
— | European | — | CanPath | — |
| PSS007694 | — | — | [
|
— | European | — | CanPath | — |
| PSS010012 | PheCode 327.3 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
| PSS007698 | — | — | [
|
— | African unspecified | Africa or admixed-ancestry diaspora | UKB | — |
| PSS007701 | — | — | [
|
— | Other admixed ancestry (Admixed American) |
— | UKB | — |
| PSS007702 | — | — | [
|
— | Asian unspecified | Central and South Asian | UKB | — |
| PSS007706 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS007710 | — | — | [
|
— | European | — | UKB | — |
| PSS007711 | — | — | [
|
— | European | — | UKB | — |
| PSS008206 | — | — | 6,270 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008207 | — | — | 5,753 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS007714 | — | — | [
|
— | European | — | UKB | — |
| PSS009885 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS009887 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS009884 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009888 | — | — | [
|
— | Hispanic or Latin American (Admixed American) |
— | UKB | — |
| PSS009886 | — | — | [
|
— | European | — | UKB | — |
| PSS007720 | — | — | [
|
— | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | UKB | — |
| PSS011072 | — | — | 181 individuals, 0.0 % Male samples |
Median = 59.0 years IQR = [55.0, 64.0] years |
East Asian (Chinese) |
— | SCHS | — |
| PSS011073 | — | — | 381 individuals, 100.0 % Male samples |
Median = 60.0 years IQR = [55.0, 64.0] years |
East Asian (Chinese) |
— | SCHS | — |
| PSS010032 | PheCode 327.3 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | UKB | — |
| PSS011723 | — | — | [ ,
48.1 % Male samples |
Mean = 56.6 years Sd = 8.03 years |
European | — | UKB | — |
| PSS011076 | — | — | 2,023 individuals, 37.4 % Male samples |
Mean = 53.16 years Sd = 16.23 years |
African unspecified | — | MGBB | — |
| PSS011076 | — | — | 932 individuals, 41.8 % Male samples |
Mean = 47.0 years Sd = 15.67 years |
Asian unspecified | — | MGBB | — |
| PSS011076 | — | — | 34,764 individuals, 46.7 % Male samples |
Mean = 60.62 years Sd = 16.83 years |
European | — | MGBB | — |
| PSS011076 | — | — | 1,182 individuals, 31.3 % Male samples |
Mean = 52.29 years Sd = 16.56 years |
Hispanic or Latin American | — | MGBB | — |
| PSS011076 | — | — | 1,292 individuals, 46.8 % Male samples |
Mean = 52.08 years Sd = 18.42 years |
Not reported | — | MGBB | — |
| PSS009619 | — | — | [ ,
44.1 % Male samples |
Mean = 56.3 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011794 | — | — | [
|
— | European | — | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS004292 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004293 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004294 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004295 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004296 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004297 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004298 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004299 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004300 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004301 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS007771 | — | — | 2,462 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007772 | — | — | 2,270 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011294 | — | — | 55,266 individuals, 0.0 % Male samples |
— | East Asian | — | CKB | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | 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 |
[ ,
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) |
| PSS011658 | — | — | [
|
— | European | — | EB | — |
| PSS011659 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011661 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS009646 | — | — | [
|
— | 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 | [ ,
46.5 % Male samples |
— | European | — | UKB | — |
| PSS011664 | — | — | [
|
— | European | — | MGBB | — |
| PSS010080 | C34, histology was one of the followings: Squamous cell carcinoma; Squamous cell carcinoma, keratinizing; Squamous cell carcinoma, large cell, non-keratinizing; Squamous cell carcinoma, micro-invasive; Squamous cell carcinoma, small cell, non-keratinizing | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |
| PSS010081 | C34 | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |
| PSS010082 | C34, histology was one of the followings: Adenocarcinoma, intestinal type; Adenocarcinoma in tubulovillous adenoma; Adenocarcinoma in villous adenoma; Adenocarcinoma (NOS) | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |
| PSS011520 | Lung cancer diagnosis was confirmed by pathological examination using resected specimens. | — | [ ,
45.72 % Male samples |
Mean = 59.65 years | European (French cancadian) |
— | CARTaGENE, LORD | CARTaGENE data application number 890519 |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| 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 | — | [
|
— | 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 | — | [
|
— | 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 | — | [
|
— | 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. | — | [
|
— | European | — | UKB | — |
| PSS001020 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| PSS011324 | — | — | [ ,
47.0 % Male samples |
Median = 65.0 years | European | — | MCRC | — |
| 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 | — | [
|
— | 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. | — | [ ,
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. | — | [ ,
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. |
| PSS011328 | — | — | 133,830 individuals, 0.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011329 | — | — | 115,207 individuals, 100.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011331 | — | — | [ ,
48.2 % Male samples |
Mean = 56.62 years Sd = 8.03 years |
European (Irish, British) |
— | UKB | — |
| 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 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003955 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS011344 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS003956 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004466 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004467 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS011793 | — | — | [
|
— | East Asian (Chinese) |
— | CKB | — |
| PSS004468 | — | — | [
|
— | European | non-white British ancestry | 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. | — | [ ,
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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | 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. | — | [
|
— | European | — | UKB | — |
| PSS003958 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004469 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS009687 | — | — | 6,423 individuals | — | African unspecified | — | UKB | — |
| PSS004470 | — | — | [
|
— | 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 | — |
| PSS010146 | — | — | [
|
— | European | — | UKB | — |
| PSS004496 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004497 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004498 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS010150 | — | — | [
|
— | European | — | UKB | — |
| PSS004499 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004500 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011362 | — | — | [ ,
47.0 % Male samples |
— | European | — | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS004506 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004507 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004508 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004509 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004510 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004511 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009987 | — | — | [ ,
63.0 % Male samples |
— | East Asian (Chinese) |
— | NR | NJLCC |
| PSS004512 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004513 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004514 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004515 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009988 | — | — | [ ,
46.0 % Male samples |
— | European | — | UKB | — |
| 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 | [ ,
42.93 % Male samples |
Mean = 53.67 years Se = 10.98 years |
East Asian (Chinese) |
— | CKB | — |
| PSS011602 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011603 | — | — | [
|
— | European | — | G&H | — |
| PSS011604 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011605 | — | — | [
|
— | European | — | GEL | — |
| PSS011606 | — | — | [
|
— | European | — | HUNT | — |
| PSS011607 | — | — | [
|
— | European | — | MGBB | — |
| PSS011601 | — | — | [
|
— | European | — | EB | — |
| PSS004064 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004065 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004066 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004067 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004068 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004069 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004070 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004071 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004072 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004073 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011835 | — | Median = 10.7 years | [ ,
0.0 % Male samples |
— | East Asian (Chinese) |
— | TPMI | — |
| PSS011836 | — | Median = 10.0 years | [ ,
100.0 % Male samples |
— | East Asian (Chinese) |
— | TPMI | — |
| PSS011660 | — | — | [
|
— | European | — | G&H | — |
| PSS011662 | — | — | [
|
— | European | — | GEL | — |
| PSS011663 | — | — | [
|
— | European | — | HUNT | — |
| PSS004079 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004080 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004081 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004082 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004083 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004084 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004085 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004086 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004087 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004088 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004089 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004090 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004091 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004092 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004093 | — | — | [
|
— | 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 | — | [
|
— | 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 | — | [
|
— | 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 | — | [
|
Mean = 67.0 years Sd = 9.0 years |
European | — | TCGA | — |
| PSS000276 | — | — | [
|
— | 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 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004653 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004654 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004655 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004656 | — | — | [
|
— | 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 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |