Polygenic Score (PGS) ID: PGS001130

Predicted Trait
Reported Trait Number of cigarettes previously smoked per day
Mapped Trait(s) cigarettes per day measurement (EFO_0006525)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI2887
Released in PGS Catalog: Oct. 21, 2021
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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 GBE_INI2887
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 725
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000244
Citation (link to publication) Tanigawa Y et al. PLoS Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
64,064 individuals (100%)
PGS Evaluation
European: 40%
African: 20%
East Asian: 20%
South Asian: 20%
5 Sample Sets

Development Samples

Score Development/Training
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Phenotype Definitions & Methods
Age of Study Participants
Participant Follow-up Time
Additional Ancestry Description
Additional Sample/Cohort Information
64,064 individualsEuropeanUKBwhite British ancestry
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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
PPM008378PSS006871|
African Ancestry|
553 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of cigarettes previously smoked daily: 0.05257 [0.04201, 0.06313]
Incremental R2 (full-covars): -0.00029
PGS R2 (no covariates): 0.00089 [-0.00056, 0.00234]
age, sex, UKB array type, Genotype PCs
PPM008379PSS006872|
East Asian Ancestry|
122 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of cigarettes previously smoked daily: 0.20745 [0.17324, 0.24166]
Incremental R2 (full-covars): -0.00582
PGS R2 (no covariates): 0.00074 [-0.00184, 0.00332]
age, sex, UKB array type, Genotype PCs
PPM008380PSS006873|
European Ancestry|
6,735 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of cigarettes previously smoked daily: 0.10992 [0.10259, 0.11725]
Incremental R2 (full-covars): 0.00885
PGS R2 (no covariates): 0.00973 [0.0073, 0.01215]
age, sex, UKB array type, Genotype PCs
PPM008381PSS006874|
South Asian Ancestry|
585 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of cigarettes previously smoked daily: 0.0678 [0.05705, 0.07855]
Incremental R2 (full-covars): -0.00447
PGS R2 (no covariates): 0.00066 [-0.00048, 0.0018]
age, sex, UKB array type, Genotype PCs
PPM008382PSS006875|
European Ancestry|
15,927 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of cigarettes previously smoked daily: 0.0979 [0.09364, 0.10216]
Incremental R2 (full-covars): 0.0054
PGS R2 (no covariates): 0.00613 [0.00496, 0.00731]
age, sex, UKB array type, Genotype PCs
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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
PSS006871553 individualsAfrican unspecifiedUKB
PSS006872122 individualsEast AsianUKB
PSS0068736,735 individualsEuropeannon-white British ancestryUKB
PSS006874585 individualsSouth AsianUKB
PSS00687515,927 individualsEuropeanwhite British ancestryUKBTesting cohort (heldout set)
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