Polygenic Score (PGS) ID: PGS002270

Predicted Trait
Reported Trait Lung cancer
Mapped Trait(s) lung carcinoma (EFO_0001071)
Released in PGS Catalog: April 1, 2022
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Score Details

Score Construction
PGS Name PRS33_LC
Development Method
Name Genome-wide significant variants
Parameters r2<0.1, MAF>0.01
Variants
Original Genome Build NR
Number of Variants 33
Effect Weight Type log(OR)
PGS Source
PGS Catalog Publication (PGP) ID PGP000300
Citation (link to publication) Zhang P et al. Br J Cancer (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 79.9%
East Asian: 20.1%
218,879 individuals (100%)
PGS Evaluation
European: 100%
2 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST004748
Europe PMC: 28604730
 85,716 individuals European ILCCO, TRICL
GWAS Catalog: GCST008836
[
  • 6,819 cases
  • , 14,027 controls
]
 European ILCCO, TRICL
GWAS Catalog: GCST008836
[
  • 8,762 cases
  • , 13,328 controls
]
 East Asian
(Chinese)		 ILCCO, TRICL
GWAS Catalog: GCST002466
Europe PMC: 24880342
 27,209 individuals European GAME-ON, ILCCO, TRICL
GWAS Catalog: GCST000459
Europe PMC: 19654303
 3,390 individuals European GELCAPS
Europe PMC: 27288692
[
  • 12,160 cases
  • , 16,838 controls
]
 European 6 cohorts
  • GLC
  • ,IARC
  • ,ICR
  • ,MDACC
  • ,NCI
  • ,SLRI
Europe PMC: 22797725
[
  • 7,436 cases
  • , 7,483 controls
]
 East Asian
(Chinese)		 NR
GWAS Catalog: GCST001609
Europe PMC: 22797724
 7,028 individuals East Asian BBJ, MRC
GWAS Catalog: GCST002753
Europe PMC: 25644374
 8,683 individuals European ILCCO

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) 		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
PPM012923 PSS009619|
European Ancestry|
345,794 individuals
 PGP000300 |
Zhang P et al. Br J Cancer (2022)
 Reported Trait: Incident lung cancer HR: 1.16 [1.11, 1.22] — — Age, sex, education, Townsend deprivation index, income, BMI, diet, physical activity, alcohol consumption, occupational exposure, passive smoking, relatedness and first 20 principal components of ancestry —
PPM020290 PSS011324|
European Ancestry|
1,202 individuals
 PGP000539 |
Lebrett MB et al. Genet Med (2023)
|Ext.		 Reported Trait: Lung cancer — AUROC: 0.725 [0.697, 0.754] — Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio —

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
PSS011324 — —
[
  • 652 cases
  • , 550 controls
]
,
47.0 % Male samples
 Median = 65.0 years European — MCRC —
PSS009619 — —
[
  • 1,687 cases
  • , 344,107 controls
]
,
44.1 % Male samples
 Mean = 56.3 years
Sd = 8.0 years		 European — UKB —