PGS Publication: PGP000678

Publication Information (EuropePMC)
Title Ethnic differences of genetic risk and smoking in lung cancer: two prospective cohort studies.
PubMed ID 37676847(Europe PMC)
doi 10.1093/ije/dyad118
Publication Date Dec. 1, 2023
Journal Int J Epidemiol
Author(s) Zhu M, Lv J, Huang Y, Ma H, Li N, Wei X, Ji M, Ma Z, Song C, Wang C, Dai J, Tan F, Guo Y, Walters R, Millwood IY, Hung RJ, Christiani DC, Yu C, Jin G, Chen Z, Wei Q, Amos CI, Hu Z, Li L, Shen H.
Released in PGS Catalog: Sept. 19, 2024

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)
PGS004955
(PRS23)
 PGP000678 |
Zhu M et al. Int J Epidemiol (2023)
 Lung cancer lung carcinoma 23
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004955/ScoringFiles/PGS004955.txt.gz

External PGS Evaluated 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
PPM021774 PGS000070
(PRS_LC_C)
 PSS011793|
East Asian Ancestry|
100,615 individuals
 PGP000678 |
Zhu M et al. Int J Epidemiol (2023)
|Ext.		 Reported Trait: Incident lung cancer HR: 1.19 [1.13, 1.25] — — Age, sex, smoking status, BMI, highest education level, family history of cancer, personal medical history (previous cancer diagnoses and chronic obstructive pulmonary disease), the forced expiratory volume in 1 second, 10 PCs —
PPM021775 PGS004955
(PRS23)
 PSS011794|
European Ancestry|
406,880 individuals
 PGP000678 |
Zhu M et al. Int J Epidemiol (2023)
 Reported Trait: Incident lung cancer HR: 1.24 [1.19, 1.29] — — Age, sex, smoking status, BMI, highest education level, family history of cancer, personal medical history (previous cancer diagnoses and chronic obstructive pulmonary disease), the forced expiratory volume in 1 second, 10 PCs —

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
PSS011793 — —
[
  • 1,392 cases
  • , 99,223 controls
]
 — East Asian
(Chinese)		 — CKB —
PSS011794 — —
[
  • 2,025 cases
  • , 404,855 controls
]
 — European — UKB —