PGS Publication: PGP000049

Publication Information (EuropePMC)
Title Identification of risk loci and a polygenic risk score for lung cancer: a large-scale prospective cohort study in Chinese populations.
PubMed ID 31326317(Europe PMC)
doi 10.1016/S2213-2600(19)30144-4
Publication Date July 17, 2019
Journal Lancet Respir Med
Author(s) Dai J, Lv J, Zhu M, Wang Y, Qin N, Ma H, He YQ, Zhang R, Tan W, Fan J, Wang T, Zheng H, Sun Q, Wang L, Huang M, Ge Z, Yu C, Guo Y, Wang TM, Wang J, Xu L, Wu W, Chen L, Bian Z, Walters R, Millwood IY, Li XZ, Wang X, Hung RJ, Christiani DC, Chen H, Wang M, Wang C, Jiang Y, Chen K, Chen Z, Jin G, Wu T, Lin D, Hu Z, Amos CI, Wu C, Wei Q, Jia WH, Li L, Shen H.
Released in PGS: Feb. 12, 2020

Associated Polygenic Score(s)

PGS Developed By This Publication

Polygenic Score (PGS) ID PGS Name PGS Publication (PGP) ID Reported Trait Mapped Trait(s) (Ontology) Number of Variants PGS Scoring File (FTP Link)
PGS000070 PRS_LC_C PGP000049 Dai J et al. Lancet Respir Med (2019) Lung cancer lung adenocarcinoma 19 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000070/ScoringFiles/PGS000070.txt.gz

PGS Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance Metric ID
(PPM ID)
Evaluated Score 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 PGS000070 (PRS_LC_C) 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

Evaluated Samples

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
[
  • 1,316 cases
  • , 94,092 controls
]
,
42.93 % Male samples
Mean = 53.67 years
Se = 10.98 years
East Asian
(Chinese)
CKB