| Trait Information | |
| Identifier | MONDO_0005275 |
| Description | A disease involving the lung. | Trait category |
Other trait
|
| Synonyms |
11 synonyms
|
| Child trait(s) | 10 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) |
|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| PGS001326 (GBE_HC431) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Emphysema | pulmonary emphysema | 42 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001326/ScoringFiles/PGS001326.txt.gz |
| PGS001332 (GBE_HC442) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Chronic obstructive pulmonary disease | chronic obstructive pulmonary disease | 482 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001332/ScoringFiles/PGS001332.txt.gz |
| PGS001333 (GBE_HC1582) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Chronic obstructive pulmonary disease (algorithmically-defined) | chronic obstructive pulmonary disease | 569 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001333/ScoringFiles/PGS001333.txt.gz |
| PGS001334 (GBE_HC1035) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other chronic obstructive pulmonary disease (time-to-event) | chronic obstructive pulmonary disease | 498 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001334/ScoringFiles/PGS001334.txt.gz |
| PGS001783 (1kgeur_gbmi_COPD_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Chronic obstructive pulmonary disease | chronic obstructive pulmonary disease | 884,139 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001783/ScoringFiles/PGS001783.txt.gz |
| PGS001788 (1kgeur_gbmi_leaveUKBBout_COPD_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Chronic obstructive pulmonary disease | chronic obstructive pulmonary disease | 910,082 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001788/ScoringFiles/PGS001788.txt.gz |
| 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 |
| PGS001850 (portability-PLR_496) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Chronic airway obstruction | chronic obstructive pulmonary disease | 7,347 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001850/ScoringFiles/PGS001850.txt.gz |
| PGS002062 (portability-ldpred2_496) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Chronic airway obstruction | chronic obstructive pulmonary disease | 811,003 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002062/ScoringFiles/PGS002062.txt.gz |
| 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 |
| 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 |
| 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 |
| PGS004164 (PRS16_LC) |
PGP000518 | Wei X et al. Int J Cancer (2023) |
Lung cancer in never smokers | smoking status measurement, lung carcinoma |
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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| PGS005163 (PRS-LC) |
PGP000711 | Zhu M et al. PLoS Med (2025) |
Lung cancer | lung carcinoma | 42 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005163/ScoringFiles/PGS005163.txt.gz |
| PGS005169 (PRS25_LUAD) |
PGP000713 | Blechter B et al. JAMA Netw Open (2023) |
Lung adenocarcinoma | lung adenocarcinoma | 25 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005169/ScoringFiles/PGS005169.txt.gz |
| PGS005323 (PRS_CS_IPF) |
PGP000769 | Zhu J et al. Am J Respir Crit Care Med (2025) |
Idiopathic pulmonary fibrosis | idiopathic pulmonary fibrosis | 653,482 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005323/ScoringFiles/PGS005323.txt.gz |
| PGS005397 (Genome_wide_PRS) |
PGP000780 | Boumtje V et al. Transl Oncol (2026) |
Lung cancer | lung cancer | 1,022,277 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005397/ScoringFiles/PGS005397.txt.gz |
| PGS012550 (PRS13_IPF) |
PGP000793 | Tang L et al. Environ Res (2023) |
Idiopathic pulmonary fibrosis | idiopathic pulmonary fibrosis | 13 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012550/ScoringFiles/PGS012550.txt.gz |
| PGS012564 (GRS22_COPD) |
PGP000808 | Li J et al. BMC Med (2024) |
Chronic obstructive pulmonary disease | chronic obstructive pulmonary disease | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012564/ScoringFiles/PGS012564.txt.gz |
| PGS019280 (TPMI_480_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Pneumonia | pneumonia | 144 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019280/ScoringFiles/PGS019280.txt.gz | |
| PGS019281 (TPMI_480_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Pneumonia | pneumonia | 149,980 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019281/ScoringFiles/PGS019281.txt.gz | |
| PGS019282 (TPMI_480_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Pneumonia | pneumonia | 517,334 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019282/ScoringFiles/PGS019282.txt.gz | |
| PGS019283 (TPMI_480_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Pneumonia | pneumonia | 983,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019283/ScoringFiles/PGS019283.txt.gz | |
| PGS019284 (TPMI_480_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Pneumonia | pneumonia | 947,856 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019284/ScoringFiles/PGS019284.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 |
|---|---|---|---|---|---|---|---|---|---|
| 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 | — |
| 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 | — |
| 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. |
| 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) | — |
| 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 |
| 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 |
| PPM009117 | PGS001326 (GBE_HC431) |
PSS004496| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.79508 [0.66687, 0.92329] | R²: 0.11615 Incremental AUROC (full-covars): -0.00299 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.54363 [0.35853, 0.72873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009118 | PGS001326 (GBE_HC431) |
PSS004497| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.98854 [0.98287, 0.99422] | R²: 0.35967 Incremental AUROC (full-covars): 0.00059 PGS R2 (no covariates): 0.01376 PGS AUROC (no covariates): 0.67098 [0.43987, 0.90208] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009119 | PGS001326 (GBE_HC431) |
PSS004498| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.7867 [0.75313, 0.82026] | R²: 0.09488 Incremental AUROC (full-covars): -0.00065 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.49994 [0.45601, 0.54388] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009120 | PGS001326 (GBE_HC431) |
PSS004499| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.78275 [0.67463, 0.89087] | R²: 0.0813 Incremental AUROC (full-covars): 0.00398 PGS R2 (no covariates): 0.00648 PGS AUROC (no covariates): 0.59809 [0.42688, 0.7693] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009121 | PGS001326 (GBE_HC431) |
PSS004500| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Emphysema | — | AUROC: 0.72797 [0.70437, 0.75156] | R²: 0.05838 Incremental AUROC (full-covars): 0.00547 PGS R2 (no covariates): 0.00531 PGS AUROC (no covariates): 0.56911 [0.54137, 0.59684] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009146 | PGS001332 (GBE_HC442) |
PSS004506| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.75825 [0.69744, 0.81905] | R²: 0.08985 Incremental AUROC (full-covars): 0.00297 PGS R2 (no covariates): 0.00366 PGS AUROC (no covariates): 0.56943 [0.4939, 0.64496] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009147 | PGS001332 (GBE_HC442) |
PSS004507| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.93404 [0.85456, 1.0] | R²: 0.35918 Incremental AUROC (full-covars): 0.00775 PGS R2 (no covariates): 0.05713 PGS AUROC (no covariates): 0.78102 [0.65685, 0.90519] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009148 | PGS001332 (GBE_HC442) |
PSS004508| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.75808 [0.74076, 0.77539] | R²: 0.10489 Incremental AUROC (full-covars): 0.0013 PGS R2 (no covariates): 0.00194 PGS AUROC (no covariates): 0.53674 [0.51446, 0.55902] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009149 | PGS001332 (GBE_HC442) |
PSS004509| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.74266 [0.70089, 0.78443] | R²: 0.08552 Incremental AUROC (full-covars): -0.00028 PGS R2 (no covariates): 0.00048 PGS AUROC (no covariates): 0.51815 [0.46516, 0.57113] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009150 | PGS001332 (GBE_HC442) |
PSS004510| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Chronic obstructive airways disease/copd | — | AUROC: 0.73063 [0.71971, 0.74156] | R²: 0.08401 Incremental AUROC (full-covars): 0.003 PGS R2 (no covariates): 0.00235 PGS AUROC (no covariates): 0.53971 [0.52633, 0.5531] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009151 | PGS001333 (GBE_HC1582) |
PSS004297| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.68968 [0.6281, 0.75125] | R²: 0.05389 Incremental AUROC (full-covars): -0.00542 PGS R2 (no covariates): 5e-05 PGS AUROC (no covariates): 0.49374 [0.43492, 0.55257] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009152 | PGS001333 (GBE_HC1582) |
PSS004298| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.77182 [0.67988, 0.86376] | R²: 0.12635 Incremental AUROC (full-covars): -0.00429 PGS R2 (no covariates): 0.00238 PGS AUROC (no covariates): 0.55811 [0.43123, 0.68498] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009153 | PGS001333 (GBE_HC1582) |
PSS004299| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.71622 [0.70023, 0.7322] | R²: 0.08141 Incremental AUROC (full-covars): 0.00289 PGS R2 (no covariates): 0.00236 PGS AUROC (no covariates): 0.53939 [0.52155, 0.55723] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009154 | PGS001333 (GBE_HC1582) |
PSS004300| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.71121 [0.67474, 0.74767] | R²: 0.06785 Incremental AUROC (full-covars): 0.00468 PGS R2 (no covariates): 0.00251 PGS AUROC (no covariates): 0.53996 [0.49615, 0.58377] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009155 | PGS001333 (GBE_HC1582) |
PSS004301| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: AD chronic obstructive pulmonary disease | — | AUROC: 0.70059 [0.69045, 0.71072] | R²: 0.06924 Incremental AUROC (full-covars): 0.0031 PGS R2 (no covariates): 0.00218 PGS AUROC (no covariates): 0.5364 [0.52484, 0.54796] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009156 | PGS001334 (GBE_HC1035) |
PSS004079| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.75968 [0.69978, 0.81959] | R²: 0.09174 Incremental AUROC (full-covars): -0.0023 PGS R2 (no covariates): 0.00029 PGS AUROC (no covariates): 0.4865 [0.41003, 0.56298] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009157 | PGS001334 (GBE_HC1035) |
PSS004080| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.92777 [0.86245, 0.9931] | R²: 0.33262 Incremental AUROC (full-covars): 0.00135 PGS R2 (no covariates): 0.00048 PGS AUROC (no covariates): 0.52185 [0.32406, 0.71963] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009158 | PGS001334 (GBE_HC1035) |
PSS004081| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.75602 [0.73955, 0.77249] | R²: 0.10564 Incremental AUROC (full-covars): 0.00136 PGS R2 (no covariates): 0.00195 PGS AUROC (no covariates): 0.53598 [0.51506, 0.55689] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009159 | PGS001334 (GBE_HC1035) |
PSS004082| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.74851 [0.70987, 0.78716] | R²: 0.09156 Incremental AUROC (full-covars): 0.00157 PGS R2 (no covariates): 0.00202 PGS AUROC (no covariates): 0.53954 [0.49035, 0.58873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009160 | PGS001334 (GBE_HC1035) |
PSS004083| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other chronic obstructive pulmonary disease | — | AUROC: 0.72542 [0.71492, 0.73591] | R²: 0.0827 Incremental AUROC (full-covars): 0.00368 PGS R2 (no covariates): 0.00314 PGS AUROC (no covariates): 0.54658 [0.5339, 0.55926] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009312 | PGS001783 (1kgeur_gbmi_COPD_pst_eff_a1_b0.5_phiauto) |
PSS007694| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Chronic obstructive pulmonary disease | — | AUROC: 0.74 | Nagelkerke's R2 (covariates regressed out): 0.03809 | sex,age, 20PCs | — |
| PPM009292 | PGS001788 (1kgeur_gbmi_leaveUKBBout_COPD_pst_eff_a1_b0.5_phiauto) |
PSS007711| European Ancestry| 337,168 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Chronic obstructive pulmonary disease | — | AUROC: 0.715 | Nagelkerke's R2 (covariates regressed out): 0.0163 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| 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 | — |
| PPM009690 | PGS001850 (portability-PLR_496) |
PSS009325| European Ancestry| 18,735 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0241 [0.0098, 0.0384] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009691 | PGS001850 (portability-PLR_496) |
PSS009099| European Ancestry| 3,959 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0029 [-0.0284, 0.0341] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009692 | PGS001850 (portability-PLR_496) |
PSS008653| European Ancestry| 6,311 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0292 [0.0045, 0.0539] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009694 | PGS001850 (portability-PLR_496) |
PSS008207| South Asian Ancestry| 5,753 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): -0.0056 [-0.0315, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009697 | PGS001850 (portability-PLR_496) |
PSS008876| African Ancestry| 3,652 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): -0.0066 [-0.0391, 0.0259] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009693 | PGS001850 (portability-PLR_496) |
PSS008427| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0083 [-0.0508, 0.0673] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009695 | PGS001850 (portability-PLR_496) |
PSS007989| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): -0.017 [-0.0644, 0.0304] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009696 | PGS001850 (portability-PLR_496) |
PSS007772| African Ancestry| 2,270 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0156 [-0.0258, 0.0569] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011359 | PGS002062 (portability-ldpred2_496) |
PSS009099| European Ancestry| 3,959 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0118 [-0.0194, 0.043] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011360 | PGS002062 (portability-ldpred2_496) |
PSS008653| European Ancestry| 6,311 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0499 [0.0252, 0.0745] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011361 | PGS002062 (portability-ldpred2_496) |
PSS008427| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0345 [-0.0246, 0.0933] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011362 | PGS002062 (portability-ldpred2_496) |
PSS008207| South Asian Ancestry| 5,753 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0272 [0.0013, 0.053] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011363 | PGS002062 (portability-ldpred2_496) |
PSS007989| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): -0.0227 [-0.07, 0.0248] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011364 | PGS002062 (portability-ldpred2_496) |
PSS007772| African Ancestry| 2,270 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.0422 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011365 | PGS002062 (portability-ldpred2_496) |
PSS008876| African Ancestry| 3,652 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): -0.0266 [-0.0591, 0.0059] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011358 | PGS002062 (portability-ldpred2_496) |
PSS009325| European Ancestry| 18,735 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Chronic airway obstruction | — | — | Partial Correlation (partial-r): 0.047 [0.0327, 0.0613] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| 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] | — | — | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — | — | — | — |
| 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 | — | — | — | — |
| 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 | — | — | — | — |
| 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 | — | — | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| PPM022401 | PGS005163 (PRS-LC) |
PSS011939| East Asian Ancestry| 100,219 individuals |
PGP000711 | Zhu M et al. PLoS Med (2025) |
Reported Trait: Lung Cancer | HR: 1.22 [1.16, 1.28] β: 0.199 |
C-index: 0.55 | — | Age,Sex (if applicable),Region,Top 10 genetic ancestry principal components | The HR and C-index values were derived from Cox proportional hazards regression models. |
| PPM022451 | PGS005169 (PRS25_LUAD) |
PSS011947| East Asian Ancestry| 2,048 individuals |
PGP000713 | Blechter B et al. JAMA Netw Open (2023) |
Reported Trait: Lung adenocarcinoma | OR: 1.6 [1.46, 1.75] | — | — | — | — |
| PPM022452 | PGS005169 (PRS25_LUAD) |
PSS011947| East Asian Ancestry| 2,048 individuals |
PGP000713 | Blechter B et al. JAMA Netw Open (2023) |
Reported Trait: Lung adenocarcinoma x Environmental Tobacco Smoke interaction | — | — | p-value (p, Environmental Tobacco Smoke at home and at work and high PRS vs Environmental Tobacco Smoke never and low PRS): 0.00065 | — | — |
| PPM023074 | PGS005323 (PRS_CS_IPF) |
PSS012111| European Ancestry| 45,019 individuals |
PGP000769 | Zhu J et al. Am J Respir Crit Care Med (2025) |
Reported Trait: incident idiopathic pulmonary fibrosis cases | HR: 1.61 | AUROC: 0.77 | — | age, age^2, sex, age × sex, age^2 × sex, UKB center, array, and the first 20 principal components of genetic ancestry. | — |
| PPM023440 | PGS005397 (Genome_wide_PRS) |
PSS012185| European Ancestry| 669 individuals |
PGP000780 | Boumtje V et al. Transl Oncol (2026) |
Reported Trait: Incident Lung cancer | HR: 1.22 | C-index: 0.637 | — | Sex, age,BMI, and the first 10 ancestry-based PCA | — |
| PPM030659 | PGS012550 (PRS13_IPF) |
PSS012226| Multi-ancestry (including European)| 466,155 individuals |
PGP000793 | Tang L et al. Environ Res (2023) |
Reported Trait: Incident idiopathic pulmonary fibrosis | HR: 1.7 [1.62, 1.78] | — | — | age, gender, ethnicity, annual household income, education level, employment status, residential area, smoking status, alcohol consumption, genotyping batch and the first ten genetic principal components | — |
| PPM030710 | PGS012564 (GRS22_COPD) |
PSS012261| European Ancestry| 277,059 individuals |
PGP000808 | Li J et al. BMC Med (2024) |
Reported Trait: Incident COPD | HR: 1.09 [1.06, 1.12] | — | — | age, sex, and the first 10 principal components of ancestry | — |
| PPM030711 | PGS012564 (GRS22_COPD) |
PSS012261| European Ancestry| 277,059 individuals |
PGP000808 | Li J et al. BMC Med (2024) |
Reported Trait: Incident COPD x current work schedule interaction | — | — | Hazard ratio (HR, usual/permanent night shift and high PRS vs. day workers and low PRS): 1.9 [1.63, 2.22] | age, sex, BMI, Townsend deprivation index, sleep duration, smoking status, alcohol drinking, IPAQ activity group, chronotype, asthma | — |
| PPM037462 | PGS019280 (TPMI_480_Lassosum2) |
PSS013183| East Asian Ancestry| 18,873 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Pneumonia | — | AUROC: 0.61192 | R²: 0.04685 | sex, age, array, PCs 1-10 | — |
| PPM037463 | PGS019281 (TPMI_480_LDpred2) |
PSS013182| East Asian Ancestry| 18,873 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Pneumonia | — | AUROC: 0.61184 | R²: 0.04681 | sex, age, array, PCs 1-10 | — |
| PPM037464 | PGS019282 (TPMI_480_MegaPRS) |
PSS013184| East Asian Ancestry| 18,873 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Pneumonia | — | AUROC: 0.6121 | R²: 0.04688 | sex, age, array, PCs 1-10 | — |
| PPM037465 | PGS019283 (TPMI_480_PRS-CS) |
PSS013185| East Asian Ancestry| 18,873 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Pneumonia | — | AUROC: 0.61189 | R²: 0.0468 | sex, age, array, PCs 1-10 | — |
| PPM037466 | PGS019284 (TPMI_480_SBayesR) |
PSS013186| East Asian Ancestry| 18,873 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Pneumonia | — | AUROC: 0.61187 | R²: 0.0469 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| 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 | — |
| 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 | — |
| PSS007694 | — | — | [
|
— | European | — | CanPath | — |
| PSS011713 | — | — | [ ,
47.2 % Male samples |
— | European | — | INHALE | — |
| PSS007711 | — | — | [
|
— | European | — | UKB | — |
| PSS008207 | — | — | 5,753 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS007714 | — | — | [
|
— | European | — | 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 | — |
| PSS012111 | ICD-10 code J84.1 with exclusion of secondary or other causes of pulmonary fibrosis | Median = 10.85 years | [
|
— | European (White) |
— | UKB | — |
| PSS009619 | — | — | [ ,
44.1 % Male samples |
Mean = 56.3 years Sd = 8.0 years |
European | — | UKB | — |
| PSS012226 | — | — | 423,648 individuals | — | European | — | UKB | — |
| PSS012226 | — | — | 21,839 individuals | — | Not reported | — | UKB | — |
| PSS012226 | — | — | 16,500 individuals | — | Asian unspecified | — | UKB | — |
| PSS012226 | — | — | 2,659 individuals | — | African American or Afro-Caribbean (Black) |
— | UKB | — |
| PSS012226 | — | — | 1,509 individuals | — | East Asian (Chinese) |
— | UKB | — |
| 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) |
| PSS007772 | — | — | 2,270 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011294 | — | — | 55,266 individuals, 0.0 % Male samples |
— | East Asian | — | CKB | — |
| PSS011939 | ICD-10: C33-34 | Median = 11.33 years Range = [10.18, 12.26] years |
[ ,
42.8 % Male samples |
Mean = 53.69 years Sd = 11.01 years |
East Asian (Chinese) |
— | CKB | — |
| PSS009325 | — | — | 18,735 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011947 | — | — | [ ,
0.0 % Male samples |
— | East Asian (Han Chinese) |
— | GELAC | — |
| 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 | — |
| 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 |
| PSS012261 | — | — | 277,059 individuals, 48.03 % Male samples |
Mean = 52.71 years Sd = 7.08 years |
European | — | UKB | — |
| PSS008876 | — | — | 3,652 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| 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 | — |
| 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 | — |
| PSS011324 | — | — | [ ,
47.0 % Male samples |
Median = 65.0 years | European | — | MCRC | — |
| PSS013182 | 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013183 | 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013184 | 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013185 | 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013186 | 003.22, 020.3, 020.4, 020.5, 021.2, 022.1, 031.0, 039.1, 052.1, 055.1, 073.0, 083.0, 112.4, 114.0, 114.4, 114.5, 130.4, 136.3, 480, 481, 482, 483, 484, 485, 486, 513, 517.1, V12.61,A02.22, A20.2, A21.2, A22.1, A31.0, A37.01, A37.11, A37.81, A37.91, A42.0, A43.0, A48.1, A75, A78, B01.2, B05.2, B25.0, B37.1, B38.0, B38.1, B38.2, B44.0, B58.3, B59, B77.81, J12, J13, J14, J15.0, J15.1, J15.2, J15.3, J15.4, J15.5, J15.6, J15.7, J15.8, J15.9, J16.0, J16.8, J17, J18, J85, Z87.01 | — | [ ,
46.09 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| 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 | — |
| PSS011328 | — | — | 133,830 individuals, 0.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011329 | — | — | 115,207 individuals, 100.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS008427 | — | — | 1,122 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011793 | — | — | [
|
— | East Asian (Chinese) |
— | CKB | — |
| PSS011794 | — | — | [
|
— | European | — | 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 | — |
| PSS010146 | — | — | [
|
— | European | — | UKB | — |
| PSS004496 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004497 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004498 | — | — | [
|
— | European | non-white British ancestry | 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) |
| PSS009987 | — | — | [ ,
63.0 % Male samples |
— | East Asian (Chinese) |
— | NR | NJLCC |
| PSS009988 | — | — | [ ,
46.0 % Male samples |
— | European | — | 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 | — |
| PSS012185 | Incident lung cancer was defined by pathological confirmation or radiologic diagnosis. | Median = 2.8 years | 669 individuals, 47.8 % Male samples |
Mean = 65.4 years | European (French cancadian) |
— | QLCSP | Quebec Lung Cancer Screening Program |
| 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 | — |
| 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) |
| 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) |
| 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 | — |
| 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 | — |