Polygenic Score (PGS) ID: PGS003515

Predicted Trait
Reported Trait Immature reticulocyte fraction
Mapped Trait(s) reticulocyte measurement (EFO_0010700)
Released in PGS Catalog: April 12, 2023
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Terms and Licenses
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Score Details

Score Construction
PGS Name cont-decay-immature_reticulocyte_frac
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%
353,933 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
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
353,933 individuals,
0.46 % Male samples
European UKB Mean = 56.8 years
Sd = 8.0 years
white British

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
PPM017443 PSS010877|
European Ancestry|
19,116 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017527 PSS010793|
European Ancestry|
3,913 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017611 PSS010625|
European Ancestry|
6,144 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017695 PSS010541|
Greater Middle Eastern Ancestry|
1,097 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017779 PSS010205|
European Ancestry|
2,221 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017863 PSS010457|
South Asian Ancestry|
5,888 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017947 PSS010373|
East Asian Ancestry|
1,711 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018031 PSS010289|
African Ancestry|
2,282 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018115 PSS010709|
African Ancestry|
3,574 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.03 sex, age, deprivation index, PC1-16

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
PSS010625 6,144 individuals,
45.0 % Male samples
Mean = 54.4 years
Sd = 8.4 years
European Italian UKB
PSS010373 1,711 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East Asian Chinese UKB
PSS010793 3,913 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS010541 1,097 individuals,
59.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010877 19,116 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010289 2,282 individuals,
37.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS010709 3,574 individuals,
47.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010457 5,888 individuals,
55.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS010205 2,221 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB