| Predicted Trait | |
| Reported Trait | Adult standing height |
| Mapped Trait(s) | body height (OBA_VT0001253) |
| Score Construction | |
| PGS Name | LASSO_Height |
| Development Method | |
| Name | LASSO performed on P+T candidate SNPs |
| Parameters | R^2 < 0.2, p < 5e-2, optimal λ = 1.34e-3 |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 33,938 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000163 |
| Citation (link to publication) | Lu T et al. J Clin Endocrinol Metab (2021) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST002647 Europe PMC: 25282103 |
253,288 individuals | European | 30 cohorts
|
Europe PMC: 33788949 |
354,058 individuals, 46.0 % Male samples |
European | UKB |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| — | 6,639 individuals, 45.2 % Male samples |
European | UKB | — | — | — | — | Model selection dataset |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM001931 | PSS000967| European Ancestry| 941 individuals |
PGP000163 | Lu T et al. J Clin Endocrinol Metab (2021) |
Reported Trait: Short stature in adulthood | — | AUROC: 0.843 [0.796, 0.89] | Area under the precision-recall curve (AUPRC): 0.284 [0.102, 0.5] | Sex | 33,783 SNPs were utilised from the 33,938 SNP score. |
| PPM001932 | PSS000967| European Ancestry| 941 individuals |
PGP000163 | Lu T et al. J Clin Endocrinol Metab (2021) |
Reported Trait: Short stature in adulthood (females) | OR: 0.62 [0.5, 0.75] | AUROC: 0.861 [0.814, 0.907] | Area under the precision-recall curve (AUPRC): 0.373 [0.087, 0.651] | — | 33,783 SNPs were utilised from the 33,938 SNP score. |
| PPM001930 | PSS000967| European Ancestry| 941 individuals |
PGP000163 | Lu T et al. J Clin Endocrinol Metab (2021) |
Reported Trait: Standing height in adulthood | — | — | R²: 0.71 [0.679, 0.741] | Sex | 33,783 SNPs were utilised from the 33,938 SNP score. |
| PPM001933 | PSS000967| European Ancestry| 941 individuals |
PGP000163 | Lu T et al. J Clin Endocrinol Metab (2021) |
Reported Trait: Short stature in adulthood (males) | OR: 0.7 [0.57, 0.83] | AUROC: 0.82 [0.731, 0.909] | Area under the precision-recall curve (AUPRC): 0.181 [0.044, 0.518] | — | 33,783 SNPs were utilised from the 33,938 SNP score. |
| PPM001929 | PSS000969| European Ancestry| 81,902 individuals |
PGP000163 | Lu T et al. J Clin Endocrinol Metab (2021) |
Reported Trait: Standing height in adulthood | — | — | R²: 0.711 [0.708, 0.714] | Age, sex, recruitment center, genotyping array, PCs(1-20) | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS000967 | — | — | [ ,
42.5 % Male samples |
— | European | — | ALSPAC | — |
| PSS000969 | — | — | 81,902 individuals, 45.9 % Male samples |
— | European | — | UKB | This dataset is independent of UKB source/training and model selection datasets |