Polygenic Score (PGS) ID: PGS003553

Predicted Trait
Reported Trait Urea
Mapped Trait(s) urea measurement (EFO_0011005)
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_urea
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%
353,313 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
353,313 individuals,
0.46 % Male samples
EuropeanUKBMean = 56.8 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
PPM017481PSS010919|
European Ancestry|
19,108 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.06sex, age, deprivation index, PC1-16
PPM017565PSS010835|
European Ancestry|
3,939 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.07sex, age, deprivation index, PC1-16
PPM017649PSS010667|
European Ancestry|
6,168 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.06sex, age, deprivation index, PC1-16
PPM017733PSS010583|
Greater Middle Eastern Ancestry|
1,095 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.05sex, age, deprivation index, PC1-16
PPM017817PSS010247|
European Ancestry|
2,235 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.06sex, age, deprivation index, PC1-16
PPM017901PSS010499|
South Asian Ancestry|
5,949 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.04sex, age, deprivation index, PC1-16
PPM017985PSS010415|
East Asian Ancestry|
1,704 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.04sex, age, deprivation index, PC1-16
PPM018069PSS010331|
African Ancestry|
2,333 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.02sex, age, deprivation index, PC1-16
PPM018153PSS010751|
African Ancestry|
3,626 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Ureapartial-R2: 0.01sex, 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
PSS0102472,235 individuals,
45.0 % Male samples
Mean = 58.1 years
Sd = 7.1 years
EuropeanAshkenaziUKB
PSS0103312,333 individuals,
37.0 % Male samples
Mean = 52.5 years
Sd = 8.1 years
African American or Afro-CaribbeanCaribbeanUKB
PSS0104151,704 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East AsianChineseUKB
PSS0104995,949 individuals,
54.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South AsianIndianUKB
PSS0105831,095 individuals,
60.0 % Male samples
Mean = 51.9 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian)IranianUKB
PSS0106676,168 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
EuropeanItalianUKB
PSS0107513,626 individuals,
46.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecifiedNigerianUKB
PSS0108353,939 individuals,
38.0 % Male samples
Mean = 54.4 years
Sd = 7.5 years
EuropeanPolishUKB
PSS01091919,108 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
Europeanwhite BritishUKB
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