Polygenic Score (PGS) ID: PGS001782

Predicted Trait
Reported Trait Asthma
Mapped Trait(s) asthma (MONDO_0004979)
Released in PGS Catalog: Sept. 8, 2022
Download Score FTP directory
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 1kgeur_gbmi_Asthma_pst_eff_a1_b0.5_phiauto
Development Method
Name PRS-CS-auto
Parameters effective sample size and other defualt parameters
Variants
Original Genome Build GRCh37
Number of Variants 884,043
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000262
Citation (link to publication) Wang Y et al. Cell Genom (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 76.4%
East Asian: 18.9%
African: 1.8%
Additional Asian Ancestries: 1.7%
Additional Diverse Ancestries: 1%
Greater Middle Eastern: 0.09%
1,800,785 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
—
[
  • 5,051 cases
  • , 27,607 controls
]
 African unspecified 8 cohorts
  • BioVU
  • ,EB
  • ,FinnGen
  • ,GS:SFHS
  • ,HUNT
  • ,MGBB
  • ,MGI
  • ,UKB
—
[
  • 139 cases
  • , 1,434 controls
]
 Greater Middle Eastern (Middle Eastern, North African or Persian) UKB
—
[
  • 4,069 cases
  • , 14,104 controls
]
 Native American 6 cohorts
  • BioMe
  • ,BioVU
  • ,CCPM
  • ,MGI
  • ,UCLA
  • ,UKB
—
[
  • 18,549 cases
  • , 322,655 controls
]
 East Asian BioMe, CCPM, UCLA
—
[
  • 121,940 cases
  • , 1,254,131 controls
]
 European BBJ, CKB, TWB, UCLA
—
[
  • 4,015 cases
  • , 27,091 controls
]
 Asian unspecified EB, FinnGen, UKB

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
PPM009311 PSS007693|
European Ancestry|
7,128 individuals
 PGP000262 |
Wang Y et al. Cell Genom (2023)
 Reported Trait: Asthma — AUROC: 0.659 Nagelkerke's R2 (covariates regressed out): 0.04884 sex,age, 20PCs —

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
PSS007693 — —
[
  • 1,061 cases
  • , 6,066 controls
]
 — European — CanPath —