Predicted Trait | |
Reported Trait | White blood cell count |
Mapped Trait(s) | leukocyte quantity (OBA_VT0000217) |
Score Construction | |
PGS Name | WBC_PRSmix_eur |
Development Method | |
Name | PRSmix |
Parameters | power=0.95; p=1.83e-05 |
Variants | |
Original Genome Build | hg38 |
Number of Variants | 1,165,158 |
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% 20,472 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
|
---|---|---|---|---|---|---|---|---|
— | 20,472 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 |
---|---|---|---|---|---|---|---|---|
PPM021080 | PSS011512| European Ancestry| 5,118 individuals | PGP000604 | Truong B et al. Cell Genom (2024) | Reported Trait: White blood count | — | — | Incremental R2 (Full model versus model with only covariates): 0.075 [0.061, 0.089] | 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
|
---|---|---|---|---|---|---|---|---|
PSS011512 | — | — | 5,118 individuals | — | European | — | AllofUs | — |