Polygenic Score (PGS) ID: PGS002114

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-ldpred2_diastolic_BP
Development Method
Name LDpred2 (bigsnpr)
Parameters LDpred2-auto using HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 933,950
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
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
— 391,124 individuals European UKB — — — UK (+ Ireland) —

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
PPM011767 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): 0.2531 [0.2397, 0.2665] sex, age, birth date, deprivation index, 16 PCs —
PPM011768 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): 0.2679 [0.2385, 0.2967] sex, age, birth date, deprivation index, 16 PCs —
PPM011769 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): 0.2221 [0.1986, 0.2455] sex, age, birth date, deprivation index, 16 PCs —
PPM011770 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): 0.1869 [0.1301, 0.2426] sex, age, birth date, deprivation index, 16 PCs —
PPM011771 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): 0.1939 [0.1695, 0.2179] sex, age, birth date, deprivation index, 16 PCs —
PPM011772 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): 0.2244 [0.1788, 0.2691] sex, age, birth date, deprivation index, 16 PCs —
PPM011773 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): 0.1014 [0.0618, 0.1407] sex, age, birth date, deprivation index, 16 PCs —
PPM011774 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): 0.0818 [0.0502, 0.1131] 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 —