Predicted Trait | |
Reported Trait | Lung cancer |
Mapped Trait(s) | lung adenocarcinoma (EFO_0000571) |
Score Construction | |
PGS Name | PRS_LC_C |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 19 |
Development Method | |
Name | Genomewide-significant SNPs, filtered to be specific to Chinese ancestry individuals |
Parameters | Meta-anlaysis p-value ≤5·0 × 10−8; MAF < 0.01 (in Chinese populations); r2 >= 0.1; Chinese-specific association p-value < 0.00125 |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000049 |
Citation (link to publication) | Dai J et al. Lancet Respir Med (2019) |
Study Identifiers | Sample Numbers | Sample Ancestry |
---|---|---|
GWAS Catalog: GCST008834 EuropePMC: 31326317 |
26,655 individuals | East Asian |
GWAS Catalog: GCST008834 EuropePMC: 31326317 |
27,820 individuals | European |
PGS Performance Metric ID (PPM ID) |
PGS Sample Set ID (PSS ID) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
PGS Classification Metrics | Other Metrics | Covariates Included in the Model | PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|
PPM000190 | PSS000109 | PGP000049 Dai J et al. (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 | — |
PGS Sample Set ID (PSS ID) |
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 |
---|---|---|---|---|---|---|---|---|
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 | — |