Predicted Trait | |
Reported Trait | Red blood cell count |
Mapped Trait(s) | erythrocyte count (EFO_0004305) |
Score Construction | |
PGS Name | RBC_PRSmix_eur |
Development Method | |
Name | PRSmix |
Parameters | power=0.95; p=0.05 |
Variants | |
Original Genome Build | hg38 |
Number of Variants | 1,160,061 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000604 |
Citation (link to publication) | Truong B et al. Cell Genom (2024) |
Ancestry Distribution | |
Score Development/Training | European: 100% 20,654 individuals (100%) |
PGS Evaluation | European: 100% 1 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 |
---|---|---|---|---|---|---|---|---|
— | 20,654 individuals | European | AllofUs | — | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM021046 | PSS011503| European Ancestry| 5,163 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Red blood count | — | — | Incremental R2 (Full model versus model with only covariates): 0.08 [0.066, 0.094] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
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 |
---|---|---|---|---|---|---|---|---|
PSS011503 | — | — | 5,163 individuals | — | European | — | AllofUs | — |