Polygenic Score (PGS) ID: PGS001370

Predicted Trait
Reported Trait Age asthma diagnosed
Mapped Trait(s) asthma (MONDO_0004979)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI3786
Released in PGS Catalog: Nov. 25, 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_INI3786
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 922
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%
28,474 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
28,474 individuals European UKB white British ancestry Training + validation cohort (train_val)

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
PPM007090 PSS007256|
African Ancestry|
613 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.25693 [0.23862, 0.27524]
Incremental R2 (full-covars): -0.00562
PGS R2 (no covariates): 0.00183 [-0.00025, 0.0039]
age, sex, UKB array type, Genotype PCs
PPM007091 PSS007257|
East Asian Ancestry|
120 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.16159 [0.12965, 0.19353]
Incremental R2 (full-covars): -0.02341
PGS R2 (no covariates): 0.00419 [-0.00192, 0.0103]
age, sex, UKB array type, Genotype PCs
PPM007092 PSS007258|
European Ancestry|
2,597 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.17449 [0.16593, 0.18306]
Incremental R2 (full-covars): 0.01793
PGS R2 (no covariates): 0.02331 [0.01961, 0.02702]
age, sex, UKB array type, Genotype PCs
PPM007093 PSS007259|
South Asian Ancestry|
807 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.16307 [0.14811, 0.17804]
Incremental R2 (full-covars): -0.00111
PGS R2 (no covariates): 0.00547 [0.00221, 0.00873]
age, sex, UKB array type, Genotype PCs
PPM007094 PSS007260|
European Ancestry|
7,052 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age asthma diagnosed : 0.15588 [0.15084, 0.16091]
Incremental R2 (full-covars): 0.02498
PGS R2 (no covariates): 0.02714 [0.02472, 0.02956]
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
PSS007260 7,052 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007256 613 individuals African unspecified UKB
PSS007257 120 individuals East Asian UKB
PSS007258 2,597 individuals European non-white British ancestry UKB
PSS007259 807 individuals South Asian UKB