Publication: Identification of risk loci and a polygenic risk score for lung cancer: a large-scale prospective cohort study in Chinese populations.

Information

PGS Catalog Publication (PGP) ID: PGP000049
PubMed ID: 31326317
doi: 10.1016/s2213-2600(19)30144-4

Publication Date: July 17, 2019

Journal: Lancet Respir Med

Authors: 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.

PGS Associated with PGP000049

PGS Developed By This Study

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 (PPM) ID Evaluated Score PGS Catalog Sample Set (PSS) ID Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in PGS Model PGS Performance: Other Relevant Information
PPM000190 PGS000070 (PRS_LC_C) PSS000109 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 Catalog Sample Set (PSS) ID Detailed Phenotype Description (e.g. ICD/SNOMED codes used to identify cases) Sample Numbers 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. 95,408 individuals
[ 1,316 cases, 94,092 controls]
42.93 % Male samples
East Asian
(Chinese)
CKB