| Trait Information | |
| Identifier | HP_0100543 |
| Description |
|
Trait category |
Neurological disorder
|
| Synonyms |
6 synonyms
|
| 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) |
|---|---|---|---|---|---|---|
| PGS018931 (TPMI_292.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Mild cognitive impairment | Cognitive impairment | 37,738 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018931/ScoringFiles/PGS018931.txt.gz | |
| PGS018932 (TPMI_292.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Mild cognitive impairment | Cognitive impairment | 271,015 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018932/ScoringFiles/PGS018932.txt.gz | |
| PGS018933 (TPMI_292.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Mild cognitive impairment | Cognitive impairment | 477,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018933/ScoringFiles/PGS018933.txt.gz | |
| PGS018934 (TPMI_292.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Mild cognitive impairment | Cognitive impairment | 983,787 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018934/ScoringFiles/PGS018934.txt.gz | |
| PGS018935 (TPMI_292.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Mild cognitive impairment | Cognitive impairment | 1,011,196 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018935/ScoringFiles/PGS018935.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM037113 | PGS018931 (TPMI_292.2_Lassosum2) |
PSS012829| East Asian Ancestry| 19,158 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mild cognitive impairment | — | AUROC: 0.68254 | R²: 0.00577 | sex, age, array, PCs 1-10 | — |
| PPM037114 | PGS018932 (TPMI_292.2_LDpred2) |
PSS012828| East Asian Ancestry| 19,158 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mild cognitive impairment | — | AUROC: 0.68229 | R²: 0.00575 | sex, age, array, PCs 1-10 | — |
| PPM037115 | PGS018933 (TPMI_292.2_MegaPRS) |
PSS012830| East Asian Ancestry| 19,158 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mild cognitive impairment | — | AUROC: 0.68418 | R²: 0.0058 | sex, age, array, PCs 1-10 | — |
| PPM037116 | PGS018934 (TPMI_292.2_PRS-CS) |
PSS012831| East Asian Ancestry| 19,158 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mild cognitive impairment | — | AUROC: 0.682 | R²: 0.00574 | sex, age, array, PCs 1-10 | — |
| PPM037117 | PGS018935 (TPMI_292.2_SBayesR) |
PSS012832| East Asian Ancestry| 19,158 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Mild cognitive impairment | — | AUROC: 0.68058 | R²: 0.00579 | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS012829 | 331.83,G31.84 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012830 | 331.83,G31.84 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012831 | 331.83,G31.84 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012832 | 331.83,G31.84 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012828 | 331.83,G31.84 | — | [ ,
45.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |