Polygenic Score (PGS) ID: PGS003544

Predicted Trait
Reported Trait Monocyte count
Mapped Trait(s) monocyte count (EFO_0005091)
Released in PGS Catalog: April 12, 2023
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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 cont-decay-log_monocyte
Development Method
Name LDpred2-auto
Parameters vec_p_init = seq_log(1e-4, 0.9, length.out = 10), burn_in = 100, num_iter = 500, report_step = 5
Variants
Original Genome Build GRCh37
Number of Variants 979,739
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000457
Citation (link to publication) Ding Y et al. bioRxiv (2022) Preprint
Ancestry Distribution
Score Development/Training
European: 100%
359,067 individuals (100%)
PGS Evaluation
European: 44.4%
African: 22.2%
East Asian: 11.1%
Greater Middle Eastern: 11.1%
South Asian: 11.1%
9 Sample Sets

Development Samples

Score Development/Training
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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
359,067 individuals,
0.46 % Male samples
EuropeanUKBMean = 56.9 years
Sd = 8.0 years
white British
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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
PPM017472PSS010909|
European Ancestry|
19,376 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.15sex, age, deprivation index, PC1-16
PPM017556PSS010825|
European Ancestry|
3,982 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.14sex, age, deprivation index, PC1-16
PPM017640PSS010657|
European Ancestry|
6,264 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.13sex, age, deprivation index, PC1-16
PPM017724PSS010573|
Greater Middle Eastern Ancestry|
1,121 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.14sex, age, deprivation index, PC1-16
PPM017808PSS010237|
European Ancestry|
2,256 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.14sex, age, deprivation index, PC1-16
PPM017892PSS010489|
South Asian Ancestry|
6,008 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.1sex, age, deprivation index, PC1-16
PPM017976PSS010405|
East Asian Ancestry|
1,748 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.07sex, age, deprivation index, PC1-16
PPM018060PSS010321|
African Ancestry|
2,323 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.04sex, age, deprivation index, PC1-16
PPM018144PSS010741|
African Ancestry|
3,670 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Monocyte countpartial-R2: 0.03sex, age, deprivation index, PC1-16
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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
PSS0102372,256 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
EuropeanAshkenaziUKB
PSS0103212,323 individuals,
36.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-CaribbeanCaribbeanUKB
PSS0104051,748 individuals,
33.0 % Male samples
Mean = 52.5 years
Sd = 7.8 years
East AsianChineseUKB
PSS0104896,008 individuals,
55.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South AsianIndianUKB
PSS0105731,121 individuals,
60.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian)IranianUKB
PSS0106576,264 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
EuropeanItalianUKB
PSS0107413,670 individuals,
47.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecifiedNigerianUKB
PSS0108253,982 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
EuropeanPolishUKB
PSS01090919,376 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
Europeanwhite BritishUKB
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