Polygenic Score (PGS) ID: PGS001900

Predicted Trait
Reported Trait Diastolic blood pressure, automated reading
Mapped Trait(s) diastolic blood pressure (EFO_0006336)
Additional Trait Information physical measures
Released in PGS Catalog: Jan. 10, 2022
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Score Details

Score Construction
PGS Name portability-PLR_diastolic_BP
Development Method
Name Penalized regression (bigstatsr)
Parameters HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 66,335
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000263
Citation (link to publication) Privé F et al. Am J Hum Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
391,124 individuals (100%)
PGS Evaluation
European: 37.5%
African: 25%
East Asian: 12.5%
Greater Middle Eastern: 12.5%
South Asian: 12.5%
8 Sample Sets

Development Samples

Score Development/Training
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
391,124 individuals European UK (+ Ireland) UKB

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
PPM010083 PSS009397|
European Ancestry|
18,718 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2491 [0.2356, 0.2625] sex, age, birth date, deprivation index, 16 PCs
PPM010084 PSS009171|
European Ancestry|
3,930 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2605 [0.231, 0.2895] sex, age, birth date, deprivation index, 16 PCs
PPM010085 PSS008725|
European Ancestry|
6,338 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2168 [0.1932, 0.2402] sex, age, birth date, deprivation index, 16 PCs
PPM010086 PSS008499|
Greater Middle Eastern Ancestry|
1,151 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1801 [0.1231, 0.2359] sex, age, birth date, deprivation index, 16 PCs
PPM010087 PSS008277|
South Asian Ancestry|
6,098 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1863 [0.162, 0.2105] sex, age, birth date, deprivation index, 16 PCs
PPM010088 PSS008054|
East Asian Ancestry|
1,719 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2437 [0.1985, 0.288] sex, age, birth date, deprivation index, 16 PCs
PPM010090 PSS008945|
African Ancestry|
3,850 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.0834 [0.0519, 0.1148] sex, age, birth date, deprivation index, 16 PCs
PPM010089 PSS007841|
African Ancestry|
2,438 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1048 [0.0652, 0.144] sex, age, birth date, deprivation index, 16 PCs

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
PSS008945 3,850 individuals African unspecified Nigeria (West Africa) UKB
PSS008499 1,151 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009171 3,930 individuals European Poland (NE Europe) UKB
PSS008725 6,338 individuals European Italy (South Europe) UKB
PSS009397 18,718 individuals European UK (+ Ireland) UKB
PSS008277 6,098 individuals South Asian India (South Asia) UKB
PSS008054 1,719 individuals East Asian China (East Asia) UKB
PSS007841 2,438 individuals African American or Afro-Caribbean Carribean UKB