Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0009332 |
Description | Quantification of executive function in an individual, for example using the Behavioural Rating Inventory of Executive Function (BRIEF). Tests of executive function may be performed as part of a more comprehensive assessment to diagnose neurological and psychiatric disorders. | Trait category |
Other measurement
|
Mapped term | PMID:29769613 |
Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS003723 (cEF) |
PGP000465 | Hatoum AS et al. Biol Psychiatry (2022) |
Common executive function | executive function measurement | 6,683,248 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003723/ScoringFiles/PGS003723.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM018417 | PGS003723 (cEF) |
PSS010959| European Ancestry| 916 individuals |
PGP000465 | Hatoum AS et al. Biol Psychiatry (2022) |
Reported Trait: Common Executive Function | β: 0.171 | — | R²: 0.136 | PCs1-10, genotyping batch, IQ PGS | cEF and IQ were genetically correlated (0.61) so were used as covariates in the PGS prediction model. |
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 |
---|---|---|---|---|---|---|---|---|
PSS010959 | — | — | 916 individuals | — | European | — | COL_Twin | — |