Polygenic Score (PGS) ID: PGS003498

Predicted Trait
Reported Trait Diastolic blood pressure, automated reading
Mapped Trait(s) diastolic blood pressure (EFO_0006336)
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-diastolic_BP
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%
346,303 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
346,303 individuals,
0.46 % Male samples
European UKB Mean = 56.9 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
PPM017426 PSS010942|
European Ancestry|
18,679 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.06 sex, age, deprivation index, PC1-16
PPM017510 PSS010858|
European Ancestry|
3,920 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017594 PSS010690|
European Ancestry|
6,182 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017678 PSS010606|
Greater Middle Eastern Ancestry|
1,122 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017762 PSS010270|
European Ancestry|
2,194 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017846 PSS010522|
South Asian Ancestry|
6,050 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017930 PSS010438|
East Asian Ancestry|
1,709 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM018014 PSS010354|
African Ancestry|
2,424 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.01 sex, age, deprivation index, PC1-16
PPM018098 PSS010774|
African Ancestry|
3,819 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Diastolic blood pressure, automated reading partial-R2: 0.01 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
PSS010942 18,679 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010270 2,194 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB
PSS010690 6,182 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
European Italian UKB
PSS010438 1,709 individuals,
33.0 % Male samples
Mean = 52.5 years
Sd = 7.8 years
East Asian Chinese UKB
PSS010858 3,920 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS010606 1,122 individuals,
60.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010354 2,424 individuals,
36.0 % Male samples
Mean = 52.5 years
Sd = 8.1 years
African American or Afro-Caribbean Caribbean UKB
PSS010774 3,819 individuals,
46.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010522 6,050 individuals,
54.0 % Male samples
Mean = 53.4 years
Sd = 8.4 years
South Asian Indian UKB