Predicted Trait | |
Reported Trait | Coronary artery disease |
Mapped Trait(s) | coronary artery disease (EFO_0001645) |
Score Construction | |
PGS Name | GenoBoost_coronary_artery_disease_4 |
Development Method | |
Name | GenoBoost |
Parameters | lr=0.05, #snv=3000, model=Additive GenoBoost |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 3,000 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000546 |
Citation (link to publication) | Ohta R et al. Nat Commun (2024) |
Ancestry Distribution | |
Score Development/Training | European: 100% 269,710 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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Phenotype Definitions & Methods
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Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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— | [ ,
46.4 % Male samples | European (White British) | UKB | — | — | — | — | — |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
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PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
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PPM020377 | PSS011339| European Ancestry| 67,428 individuals | PGP000546 | Ohta R et al. Nat Commun (2024) | Reported Trait: Coronary artery disease | — | AUROC: 0.75719 | Covariate-adjusted pseudo-R2: 0.02427 AUPRC: 0.75719 | age, sex, PC1-10 | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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PSS011339 | — | — | [ ,
46.0 % Male samples | — | European (White British) | — | UKB | — |