Predicted Trait | |
Reported Trait | Lung cancer |
Mapped Trait(s) | lung carcinoma (EFO_0001071) |
Score Construction | |
PGS Name | PRS_Lung |
Development Method | |
Name | Genome-wide significant variants |
Parameters | NR |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 19 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000135 |
Citation (link to publication) | Jia G et al. JNCI Cancer Spectr (2020) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 293,065 individuals (100%) |
PGS Evaluation | European: 66.7% East Asian: 33.3% 3 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
Europe PMC: 27288692 |
[
|
European | 6 cohorts
|
GWAS Catalog: GCST003588 Europe PMC: 27197191 |
123,671 individuals | European | GAME-ON, GECCO |
GWAS Catalog: GCST004748 Europe PMC: 2860473 |
85,716 individuals | European | NR |
GWAS Catalog: GCST000257 Europe PMC: 18978787 |
10,295 individuals | European | B58C, GELCAPS, IARC, MDACCS |
GWAS Catalog: GCST001638 Europe PMC: 22899653 |
44,385 individuals | European | 16 cohorts
|
PGS Performance Metric ID (PPM) |
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 |
---|---|---|---|---|---|---|---|---|
PPM001650 | 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 | 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 | 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 | 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 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011324 | — | — | [ ,
47.0 % Male samples |
Median = 65.0 years | European | — | MCRC | — |
PSS011072 | — | — | 181 individuals, 0.0 % Male samples |
Median = 59.0 years IQR = [55.0, 64.0] years |
East Asian (Chinese) |
— | SCHS | — |
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 | — |