Predicted Trait | |
Reported Trait | Height |
Mapped Trait(s) | body height (EFO_0004339) |
Score Construction | |
PGS Name | GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS |
Development Method | |
Name | SBayesC |
Parameters | NR |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 1,156,741 |
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) | South Asian: 100% 77,890 individuals (100%) |
PGS Evaluation | South Asian: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
— | 77,890 individuals | South Asian | 23andMe, AIDHS, LOLIPOP, PROMIS, RHS |
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 |
---|---|---|---|---|---|---|---|---|
PPM015528 | PSS009976| South Asian Ancestry| 9,257 individuals |
PGP000382 | Yengo L et al. Nature (2022) |
Reported Trait: Height | — | — | R²: 0.033 | 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 |
---|---|---|---|---|---|---|---|---|
PSS009976 | — | — | 9,257 individuals | — | South Asian | — | UKB | — |