Polygenic Score (PGS) ID: PGS001842

Predicted Trait
Reported Trait Congestive heart failure; nonhypertensive
Mapped Trait(s) congestive heart failure (EFO_0000373)
Additional Trait Information circulatory system
Released in PGS Catalog: Jan. 10, 2022
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Score Details

Score Construction
PGS Name portability-PLR_428
Development Method
Name Penalized regression (bigstatsr)
Parameters HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 2,759
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
PPM009626 PSS009314|
European Ancestry|
19,961 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0293 [0.0154, 0.0432] sex, age, birth date, deprivation index, 16 PCs —
PPM009627 PSS009088|
European Ancestry|
4,128 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0213 [-0.0093, 0.0519] sex, age, birth date, deprivation index, 16 PCs —
PPM009628 PSS008642|
European Ancestry|
6,648 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0227 [-0.0014, 0.0467] sex, age, birth date, deprivation index, 16 PCs —
PPM009629 PSS008416|
Greater Middle Eastern Ancestry|
1,197 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0369 [-0.0203, 0.0938] sex, age, birth date, deprivation index, 16 PCs —
PPM009631 PSS007978|
East Asian Ancestry|
1,808 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0692 [0.023, 0.1152] sex, age, birth date, deprivation index, 16 PCs —
PPM009632 PSS007761|
African Ancestry|
2,472 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0218 [-0.0178, 0.0613] sex, age, birth date, deprivation index, 16 PCs —
PPM009633 PSS008865|
African Ancestry|
3,905 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): -0.0133 [-0.0447, 0.0182] sex, age, birth date, deprivation index, 16 PCs —
PPM009630 PSS008196|
South Asian Ancestry|
6,294 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Congestive heart failure; nonhypertensive — — Partial Correlation (partial-r): 0.0004 [-0.0244, 0.0251] 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
PSS008196 — — 6,294 individuals — South Asian India (South Asia) UKB —
PSS007978 — — 1,808 individuals — East Asian China (East Asia) UKB —
PSS007761 — — 2,472 individuals — African American or Afro-Caribbean Carribean UKB —
PSS008416 — — 1,197 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009314 — — 19,961 individuals — European UK (+ Ireland) UKB —
PSS009088 — — 4,128 individuals — European Poland (NE Europe) UKB —
PSS008865 — — 3,905 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008642 — — 6,648 individuals — European Italy (South Europe) UKB —