Predicted Trait | |
Reported Trait | Lung cancer |
Mapped Trait(s) | lung carcinoma (EFO_0001071) |
Score Construction | |
PGS Name | PRS23 |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | MAF > 0.5%, r2 < 0.1 |
Variants | |
Original Genome Build | NR |
Number of Variants | 23 |
Effect Weight Type | log(OR) |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000678 |
Citation (link to publication) | Zhu M et al. Int J Epidemiol (2023) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 85,716 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST004748 Europe PMC: 28604730 |
85,716 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM021775 | PSS011794| European Ancestry| 406,880 individuals |
PGP000678 | Zhu M et al. Int J Epidemiol (2023) |
Reported Trait: Incident lung cancer | HR: 1.24 [1.19, 1.29] | — | — | Age, sex, smoking status, BMI, highest education level, family history of cancer, personal medical history (previous cancer diagnoses and chronic obstructive pulmonary disease), the forced expiratory volume in 1 second, 10 PCs | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
PSS011794 | — | — | [
|
— | European | — | UKB | — |