Predicted Trait | |
Reported Trait | Diastolic blood pressure |
Mapped Trait(s) | diastolic blood pressure (EFO_0006336) |
Additional Trait Information | Diastolic blood pressure, manual reading; Quantitative |
Score Construction | |
PGS Name | ExPRSweb_DBP_94-raw_DBSLMM_MGI_20211120 |
Development Method | |
Name | DBSLMM |
Parameters | DBSLMM default parameter |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 6,683,891 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000393 |
Citation (link to publication) | Ma Y et al. Am J Hum Genet (2022) |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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31,281 individuals | European | UKB |
Study Identifiers
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Sample Numbers
|
Sample Ancestry
|
Cohort(s)
|
Phenotype Definitions & Methods
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Age of Study Participants
|
Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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---|---|---|---|---|---|---|---|---|
— | 23,074 individuals | European | MGI | Diastolic Blood Pressure; Quantitative | — | — | — | — |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
|
PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
|
PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|
PPM015782 | PSS010001| European Ancestry| 23,074 individuals | PGP000393 | Ma Y et al. Am J Hum Genet (2022) | Reported Trait: Diastolic Blood Pressure | β: 0.142 (0.0458) | — | R²: 0.00032 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
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
|
---|---|---|---|---|---|---|---|---|
PSS010001 | Diastolic Blood Pressure; Quantitative | — | 23,074 individuals | — | European | — | MGI | — |