Predicted Trait | |
Reported Trait | Incident hypertension |
Mapped Trait(s) | hypertension (EFO_0000537) |
Score Construction | |
PGS Name | GTG_Hypertension_maxCT |
Development Method | |
Name | Maximum clumping and thresholding (maxCT) |
Parameters | Optimal parameters: r2 = 0.80; kb = 625; p = 9.77 * 10^-2 |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 61,669 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000365 |
Citation (link to publication) | Wong CK et al. PLoS One (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST007610 Europe PMC: 30940143 |
458,554 individuals | European | CARDIoGRAMplusC4D, UKB |
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 |
---|---|---|---|---|---|---|---|---|
— | [ ,
52.0 % Male samples |
European | UKB | We used the disease definitions described in the supplement of Said et al (2018). PMID: 29955826 | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM014977 | PSS009942| European Ancestry| 21,970 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident hypertension | OR: 1.23 [1.18, 1.27] | AUROC: 0.559 [0.55, 0.569] | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009942 | We used the disease definitions described in the supplement of Said et al (2018). PMID: 29955826 | — | [ ,
42.0 % Male samples |
European | — | UKB | — |