| Predicted Trait | |
| Reported Trait | Height |
| Mapped Trait(s) | body height (OBA_VT0001253) |
| Score Construction | |
| PGS Name | GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS |
| Development Method | |
| Name | SBayesC |
| Parameters | NR |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 1,245,514 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000382 |
| Citation (link to publication) | Yengo L et al. Nature (2022) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | Hispanic or Latin American: 100% 455,180 individuals (100%) |
| PGS Evaluation | Hispanic or Latin American: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | 455,180 individuals | Hispanic or Latin American | 6 cohorts
|
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM015532 | PSS009975| Hispanic or Latin American Ancestry| 5,798 individuals |
PGP000382 | Yengo L et al. Nature (2022) |
Reported Trait: Height | — | — | R²: 0.131 | age, sex and 10 genetic 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 |
|---|---|---|---|---|---|---|---|---|
| PSS009975 | — | — | 5,798 individuals | — | Hispanic or Latin American | — | PAGE | — |