| Predicted Trait | |
| Reported Trait | Lung cancer |
| Mapped Trait(s) | lung carcinoma (EFO_0001071) |
| Score Construction | |
| PGS Name | CC_Lung |
| Development Method | |
| Name | Genome-wide significant variants |
| Parameters | P < 5e-8, MAF > 1%, biallelic SNPs, LD-thin r2 > 0.3 |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 109 |
| Effect Weight Type | NR |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000050 |
| Citation (link to publication) | Graff RE et al. Nat Commun (2021) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 183,537 individuals (100%) |
| PGS Evaluation | European: 100% 4 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST000257 Europe PMC: 18978787 |
10,295 individuals | European | B58C, GELCAPS, IARC, MDACCS |
GWAS Catalog: GCST004748 Europe PMC: 2860473 |
85,716 individuals | European | NR |
Europe PMC: 21303977 |
[
|
European | NR |
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 |
|---|---|---|---|---|---|---|---|---|
| PPM000198 | 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 | 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 | 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 | 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 | — |
|
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 | — |
| PSS010146 | — | — | [
|
— | European | — | UKB | — |
| 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 | — |
| 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 | — |