Polygenic Score (PGS) ID: PGS002658

Predicted Trait
Reported Trait Monocyte count
Mapped Trait(s) monocyte count (EFO_0005091)
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 blood_MONOCYTE_COUNT.PolyFun-pred
Development Method
Name PolyFun-pred
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 353,881
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%
325,319 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)
325,319 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
PPM014374PSS009807|
African Ancestry|
6,119 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte CountIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0526age, sex, age*sex, assessment center, genotyping array, 10 PCsSee blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_resul... ts for combination weightsShow more
PPM014423PSS009808|
East Asian Ancestry|
894 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte CountIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0939age, sex, age*sex, assessment center, genotyping array, 10 PCsSee blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_resul... ts for combination weightsShow more
PPM014472PSS009809|
European Ancestry|
41,863 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte CountIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1972age, sex, age*sex, assessment center, genotyping array, 10 PCsSee blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_resul... ts for combination weightsShow more
PPM014521PSS009810|
South Asian Ancestry|
7,718 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Monocyte CountIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1406age, sex, age*sex, assessment center, genotyping array, 10 PCsSee blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_resul... ts 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
PSS0098076,119 individualsAfrican unspecifiedUKB
PSS009808894 individualsEast AsianUKB
PSS00980941,863 individualsEuropeanNon-British EuropeanUKB
PSS0098107,718 individualsSouth AsianUKB
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