Publication Information (EuropePMC) | |
Title | Using a Polygenic Risk Score to Improve the Risk Prediction of Non-Small Cell Lung Cancer in Taiwan. |
PubMed ID | 39348659(Europe PMC) |
doi | 10.1200/po.24.00236 |
Publication Date | Oct. 2, 2024 |
Journal | JCO Precis Oncol |
Author(s) | Lee PH, Chen IC, Chen YM, Hsiao TH, Tseng JS, Huang YH, Hsu KH, Lin H, Yang TY, Shao YJ. |
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 |
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 |
---|---|---|---|---|---|---|---|---|---|
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 | — |
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 |
---|---|---|---|---|---|---|---|---|
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 | — |