| Predicted Trait | |
| Reported Trait | Disorders of iron metabolism |
| Mapped Trait(s) | iron metabolism disease (MONDO_0002279) |
| Additional Trait Information | hematopoietic |
| Score Construction | |
| PGS Name | portability-ldpred2_275.1 |
| Development Method | |
| Name | LDpred2 (bigsnpr) |
| Parameters | LDpred2-auto using HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 6,713 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000263 |
| Citation (link to publication) | Privé F et al. Am J Hum Genet (2022) |
| Ancestry Distribution | |
| Score Development/Training | European: 100% 391,124 individuals (100%) |
| PGS Evaluation | European: 50% African: 16.7% East Asian: 16.7% South Asian: 16.7% 6 Sample Sets |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | 391,124 individuals | European | UKB | — | — | — | UK (+ Ireland) | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM011122 | PSS009293| European Ancestry| 19,883 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.1355 [0.1219, 0.1492] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011123 | PSS009067| European Ancestry| 4,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.1073 [0.0769, 0.1375] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011124 | PSS008621| European Ancestry| 6,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.0173 [-0.0068, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011125 | PSS008175| South Asian Ancestry| 6,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): -0.0027 [-0.0274, 0.0221] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011127 | PSS008846| African Ancestry| 3,903 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): -0.0075 [-0.039, 0.0239] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011126 | PSS007962| East Asian Ancestry| 1,809 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): -0.008 [-0.0543, 0.0384] | sex, age, birth date, deprivation index, 16 PCs | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009067 | — | — | 4,105 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009293 | — | — | 19,883 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008846 | — | — | 3,903 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008175 | — | — | 6,298 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008621 | — | — | 6,637 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS007962 | — | — | 1,809 individuals | — | East Asian | China (East Asia) | UKB | — |