Polygenic Score (PGS) ID: PGS001236

Predicted Trait
Reported Trait Lung function (FEV1)
Mapped Trait(s) forced expiratory volume (EFO_0004314)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI3063
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_INI3063
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 17,732
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%
247,832 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
247,832 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
PPM008689 PSS007091|
African Ancestry|
5,865 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: FEV1 : 0.37563 [0.35703, 0.39423]
Incremental R2 (full-covars): -0.00395
PGS R2 (no covariates): 0.00371 [0.00076, 0.00666]
age, sex, UKB array type, Genotype PCs
PPM008690 PSS007092|
East Asian Ancestry|
1,590 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: FEV1 : 0.48044 [0.44632, 0.51457]
Incremental R2 (full-covars): 0.01654
PGS R2 (no covariates): 0.03258 [0.01603, 0.04912]
age, sex, UKB array type, Genotype PCs
PPM008691 PSS007093|
European Ancestry|
22,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: FEV1 : 0.5167 [0.50807, 0.52533]
Incremental R2 (full-covars): 0.0401
PGS R2 (no covariates): 0.04225 [0.03736, 0.04714]
age, sex, UKB array type, Genotype PCs
PPM008692 PSS007094|
South Asian Ancestry|
7,147 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: FEV1 : 0.46546 [0.44931, 0.4816]
Incremental R2 (full-covars): 0.01517
PGS R2 (no covariates): 0.0239 [0.01722, 0.03059]
age, sex, UKB array type, Genotype PCs
PPM008693 PSS007095|
European Ancestry|
62,090 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: FEV1 : 0.51484 [0.50958, 0.52009]
Incremental R2 (full-covars): 0.04356
PGS R2 (no covariates): 0.04413 [0.0411, 0.04716]
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
PSS007091 5,865 individuals African unspecified UKB
PSS007092 1,590 individuals East Asian UKB
PSS007093 22,831 individuals European non-white British ancestry UKB
PSS007094 7,147 individuals South Asian UKB
PSS007095 62,090 individuals European white British ancestry UKB Testing cohort (heldout set)