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 Catalog: Feb. 12, 2020

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

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

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) 		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
PPM000190 PGS000070
(PRS_LC_C)
 PSS000109|
East Asian Ancestry|
95,408 individuals
 PGP000049 |
Dai J et al. Lancet Respir Med (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) 		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 —