| Predicted Trait | |
| Reported Trait | Triglyceride |
| Mapped Trait(s) | triglyceride measurement (EFO_0004530) |
| Score Construction | |
| PGS Name | GRS_286_TG |
| Development Method | |
| Name | PRSice |
| Parameters | For GRS construction, SNPs from MVP serum lipid summary statistics were clumped based on their linka... ge disequilibrium. We clumped SNPs at different r2 thresholds, and a 500kb clumping window with r2 of 0.5 proved to be the best fitting and best performing model for all lipid traits. We also tested the best P-value threshold for selecting which clumped SNPs we would include in the final GRS for the range of 1 to 5E-08. The P-value threshold, which accounted for the highest proportion of the variance of the trait R2, was selected as the best GRS.Show more |
| Variants | |
| Original Genome Build | GRCh38 |
| Number of Variants | 286 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000313 |
| Citation (link to publication) | Kamiza AB et al. Nat Med (2022) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | |
| Score Development/Training | African: 100% 6,407 individuals (100%) |
| PGS Evaluation | African: 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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|---|---|---|---|
Europe PMC: 30275531 | 312,571 individuals, 92.0 % Male samples | African American or Afro-Caribbean, European, Hispanic or Latin American | MVP |
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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Age of Study Participants
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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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|---|---|---|---|---|---|---|---|---|
Europe PMC: 31675503 | 6,407 individuals, 26.2 % Male samples | Sub-Saharan African (Ugandans) | UGR | Non-fasting serum lipid levels were measured using the Cobas Integra 400 Plus Chemistry analyser, an... automated analyser that employs four different technologies: absorption photometry, fluorescence polarization immunoassay, immune-turbidimetry, and potentiometry for accurate analysis. LDL-C were measured using the homogeneous enzymatic colorimetric assaysShow more | Mean = 34.1 years Ci = [15.8, 52.4] years | — | — | — |
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 |
|---|---|---|---|---|---|---|---|---|
| PPM012984 | PSS009639| African Ancestry| 2,569 individuals | PGP000313 | Kamiza AB et al. Nat Med (2022) | Reported Trait: Triglyceride levels | — | — | R²: 0.0087 | age, sex, type 2 diabetes, PC1, PC2, PC3, PC4, PC5 | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment) |
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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|---|---|---|---|---|---|---|---|---|
| PSS009639 | Non-fasting serum lipid levels were measured using the Cobas Integra 400 Plus Chemistry analyser, an... automated analyser that employs four different technologies: absorption photometry, fluorescence polarization immunoassay, immune-turbidimetry, and potentiometry for accurate analysis. LDL-C were measured using the homogeneous enzymatic colorimetric assaysShow more | — | 2,569 individuals, 42.9 % Male samples | Mean = 33.1 years Ci = [18.0, 48.2] years | Sub-Saharan African (South Africans) | — | SAZ | — |