Predicted Trait | |
Reported Trait | Diastolic blood pressure |
Mapped Trait(s) | diastolic blood pressure (EFO_0006336) |
Score Construction | |
PGS Name | DBP_MVP |
Development Method | |
Name | PRSice-2 |
Parameters | R2 = 0.1, 0.2 and 0.3, CV-PRS |
Variants | |
Original Genome Build | GRCh38 |
Number of Variants | 149,559 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000531 |
Citation (link to publication) | Kurniansyah N et al. Nat Commun (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST007271 Europe PMC: 30578418 |
225,112 individuals | European | MVP |
GWAS Catalog: GCST007271 Europe PMC: 30578418 |
63,490 individuals | African unspecified | MVP |
GWAS Catalog: GCST007271 Europe PMC: 30578418 |
22,802 individuals | Hispanic or Latin American | MVP |
GWAS Catalog: GCST007271 Europe PMC: 30578418 |
4,792 individuals | Asian unspecified | MVP |
GWAS Catalog: GCST007271 Europe PMC: 30578418 |
2,695 individuals | Native American | MVP |
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 |
---|---|---|---|---|---|---|---|---|
— | 2,803 individuals, 33.5 % Male samples |
African American or Afro-Caribbean | BioMe | — | Mean = 55.9 years Sd = 12.5 years |
— | — | — |
— | 151 individuals, 44.4 % Male samples |
Asian unspecified | BioMe | — | Mean = 53.14 years Sd = 13.52 years |
— | — | — |
— | 2,506 individuals, 52.2 % Male samples |
European | BioMe | — | Mean = 60.42 years Sd = 13.96 years |
— | — | — |
— | 4,187 individuals, 37.5 % Male samples |
Hispanic or Latin American | BioMe | — | Mean = 57.72 years Sd = 13.18 years |
— | — | — |
— | 667 individuals, 57.9 % Male samples |
Not reported | BioMe | — | Mean = 57.51 years Sd = 13.1 years |
— | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM020252 | PSS011312| Multi-ancestry (including European)| 39,035 individuals |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Reported Trait: Prevelant hypertension | — | AUROC: 0.754 [0.741, 0.767] | — | sex, age, age2, study site, race/ethnic background, smoking status, BMI, and 11 ancestral principal components | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011312 | — | — | 8,822 individuals, 31.9 % Male samples |
— | African American or Afro-Caribbean | — | 6 cohorts
|
— |
PSS011312 | — | — | 6,718 individuals, 38.0 % Male samples |
— | Hispanic or Latin American | — | 6 cohorts
|
— |
PSS011312 | — | — | 794 individuals, 37.9 % Male samples |
— | Asian unspecified | — | MESA, WHI | — |
PSS011312 | — | — | 22,701 individuals, 27.8 % Male samples |
— | European | — | ARIC, CHS, FHS, MESA, WHI | — |