| Trait Information | |
| Identifier | HP_0025234 |
| Description | A clinically observable or self-reported abnormal behavior, experience, or physiological event that occurs in association with sleep, specific sleep stages, or sleep-wake transitions. [PMID: 22965264] [PMID: 35956054] [PMID: 40132982] | Trait category |
Neurological disorder
|
| Synonym | Event that disrupts sleep |
| 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) |
|---|---|---|---|---|---|---|
| PGS018966 (TPMI_327.5_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Parasomnia | Parasomnia | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018966/ScoringFiles/PGS018966.txt.gz | |
| PGS018967 (TPMI_327.5_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Parasomnia | Parasomnia | 939,819 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018967/ScoringFiles/PGS018967.txt.gz | |
| PGS018968 (TPMI_327.5_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Parasomnia | Parasomnia | 516,575 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018968/ScoringFiles/PGS018968.txt.gz | |
| PGS018969 (TPMI_327.5_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Parasomnia | Parasomnia | 983,781 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018969/ScoringFiles/PGS018969.txt.gz | |
| PGS018970 (TPMI_327.5_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Parasomnia | Parasomnia | 1,011,580 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018970/ScoringFiles/PGS018970.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM037148 | PGS018966 (TPMI_327.5_Lassosum2) |
PSS012874| East Asian Ancestry| 16,236 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Parasomnia | — | AUROC: 0.58292 | R²: 0.00252 | sex, age, array, PCs 1-10 | — |
| PPM037149 | PGS018967 (TPMI_327.5_LDpred2) |
PSS012873| East Asian Ancestry| 16,236 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Parasomnia | — | AUROC: 0.58298 | R²: 0.00251 | sex, age, array, PCs 1-10 | — |
| PPM037150 | PGS018968 (TPMI_327.5_MegaPRS) |
PSS012875| East Asian Ancestry| 16,236 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Parasomnia | — | AUROC: 0.58412 | R²: 0.00252 | sex, age, array, PCs 1-10 | — |
| PPM037151 | PGS018969 (TPMI_327.5_PRS-CS) |
PSS012876| East Asian Ancestry| 16,236 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Parasomnia | — | AUROC: 0.58352 | R²: 0.00252 | sex, age, array, PCs 1-10 | — |
| PPM037152 | PGS018970 (TPMI_327.5_SBayesR) |
PSS012877| East Asian Ancestry| 16,236 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Parasomnia | — | AUROC: 0.58334 | R²: 0.00251 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012873 | 307.46, 307.47, 307.48, 327.4, 780.56,F51.3, F51.4, F51.5, G47.5 | — | [ ,
47.13 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012874 | 307.46, 307.47, 307.48, 327.4, 780.56,F51.3, F51.4, F51.5, G47.5 | — | [ ,
47.13 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012875 | 307.46, 307.47, 307.48, 327.4, 780.56,F51.3, F51.4, F51.5, G47.5 | — | [ ,
47.13 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012876 | 307.46, 307.47, 307.48, 327.4, 780.56,F51.3, F51.4, F51.5, G47.5 | — | [ ,
47.13 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012877 | 307.46, 307.47, 307.48, 327.4, 780.56,F51.3, F51.4, F51.5, G47.5 | — | [ ,
47.13 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |