Polygenic Score (PGS) ID: PGS002664

Predicted Trait
Reported Trait Respiratory and ear-nose-throat diseases
Mapped Trait(s) respiratory system disease (EFO_0000684)
Released in PGS Catalog: June 9, 2022
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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 disease_RESPIRATORY_ENT.PolyFun-pred
Development Method
Name PolyFun-pred
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 207,930
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000332
Citation (link to publication) Weissbrod O et al. Nat Genet (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
337,488 individuals (100%)
PGS Evaluation
African: 25%
East Asian: 25%
European: 25%
South Asian: 25%
4 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
337,488 individualsEuropeanUKB
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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
PPM014380PSS009831|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseasesIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0056age, sex, age*sex, assessment center, genotyping array, 10 PCsSee disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_re... sults for combination weightsShow more
PPM014429PSS009832|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseasesIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0age, sex, age*sex, assessment center, genotyping array, 10 PCsSee disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_re... sults for combination weightsShow more
PPM014478PSS009833|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseasesIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0217age, sex, age*sex, assessment center, genotyping array, 10 PCsSee disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_re... sults for combination weightsShow more
PPM014527PSS009834|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Respiratory and ear-nose-throat diseasesIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0103age, sex, age*sex, assessment center, genotyping array, 10 PCsSee disease_RESPIRATORY_ENT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_re... sults for combination weightsShow more
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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
PSS0098316,503 individualsAfrican unspecifiedUKB
PSS009832922 individualsEast AsianUKB
PSS00983343,505 individualsEuropeanNon-British EuropeanUKB
PSS0098348,098 individualsSouth AsianUKB
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