Polygenic Score (PGS) ID: PGS001126

Predicted Trait
Reported Trait Coffee intake
Mapped Trait(s) coffee consumption measurement (EFO_0006781)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1498
Released in PGS Catalog: Oct. 21, 2021
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Score Details

Score Construction
PGS Name GBE_INI1498
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 3,154
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%
252,192 individuals (100%)
PGS Evaluation
European: 40%
African: 20%
East Asian: 20%
South Asian: 20%
5 Sample Sets

Development Samples

Score Development/Training
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
252,192 individuals European UKB white British ancestry

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
PPM008358 PSS004856|
African Ancestry|
5,753 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Coffee intake : 0.02026 [0.01348, 0.02704]
Incremental R2 (full-covars): -0.00015
PGS R2 (no covariates): 0.00245 [0.00005, 0.00484]
age, sex, UKB array type, Genotype PCs
PPM008359 PSS004857|
East Asian Ancestry|
1,455 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Coffee intake : 0.05298 [0.03232, 0.07363]
Incremental R2 (full-covars): 0.00443
PGS R2 (no covariates): 0.00591 [-0.00133, 0.01315]
age, sex, UKB array type, Genotype PCs
PPM008360 PSS004858|
European Ancestry|
23,191 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Coffee intake : 0.02284 [0.01917, 0.02651]
Incremental R2 (full-covars): 0.00663
PGS R2 (no covariates): 0.00615 [0.00421, 0.00809]
age, sex, UKB array type, Genotype PCs
PPM008361 PSS004859|
South Asian Ancestry|
6,844 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Coffee intake : 0.02847 [0.02121, 0.03573]
Incremental R2 (full-covars): -0.00336
PGS R2 (no covariates): 0.00187 [-0.00004, 0.00379]
age, sex, UKB array type, Genotype PCs
PPM008362 PSS004860|
European Ancestry|
62,965 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Coffee intake : 0.01573 [0.01387, 0.01759]
Incremental R2 (full-covars): 0.00848
PGS R2 (no covariates): 0.00833 [0.00697, 0.0097]
age, sex, UKB array type, Genotype 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
PSS004860 62,965 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004856 5,753 individuals African unspecified UKB
PSS004857 1,455 individuals East Asian UKB
PSS004858 23,191 individuals European non-white British ancestry UKB
PSS004859 6,844 individuals South Asian UKB