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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Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

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)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Europe PMC: 22797725
[
  • 7,436 cases
  • , 7,483 controls
]
East Asian
(Chinese)		NR
Europe PMC: 27288692
[
  • 12,160 cases
  • , 16,838 controls
]
European6 cohorts
  • GLC
  • ,IARC
  • ,ICR
  • ,MDACC
  • ,NCI
  • ,SLRI
GWAS Catalog: GCST000459
Europe PMC: 19654303
3,390 individualsEuropeanGELCAPS
GWAS Catalog: GCST001609
Europe PMC: 22797724
7,028 individualsEast AsianBBJ, MRC
GWAS Catalog: GCST002466
Europe PMC: 24880342
27,209 individualsEuropeanGAME-ON, ILCCO, TRICL
GWAS Catalog: GCST002753
Europe PMC: 25644374
8,683 individualsEuropeanILCCO
GWAS Catalog: GCST004748
Europe PMC: 28604730
85,716 individualsEuropeanILCCO, TRICL
GWAS Catalog: GCST008836
[
  • 6,819 cases
  • , 14,027 controls
]
EuropeanILCCO, TRICL
GWAS Catalog: GCST008836
[
  • 8,762 cases
  • , 13,328 controls
]
East Asian
(Chinese)		ILCCO, TRICL
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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.

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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
PPM012923PSS009619|
European Ancestry|
345,794 individuals
PGP000300 |
Zhang P et al. Br J Cancer (2022)
Reported Trait: Incident lung cancerHR: 1.16 [1.11, 1.22]——Age, sex, education, Townsend deprivation index, income, BMI, diet, physical activity, alcohol consu... mption, occupational exposure, passive smoking, relatedness and first 20 principal components of ancestryShow more—
PPM020290PSS011324|
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 ra... tioShow more—
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Evaluated Samples

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