| Trait Information | |
| Identifier | MONDO_0000592 |
| Description | A developmental disorder of mental health that categorizes specific learning disabilities and developmental disorders affecting coordination. [DOID: 0060038] | Trait category |
Other trait
|
| Child trait(s) | attention deficit-hyperactivity disorder |
| 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) |
|---|---|---|---|---|---|---|
| PGS002746 (PRS_ADHD) |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Attention-deficit hyperactivity disorder | attention deficit-hyperactivity disorder | 513,659 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002746/ScoringFiles/PGS002746.txt.gz |
| PGS003753 (PRS35445_ADHD) |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Attention deficit hyperactivity disorder | attention deficit-hyperactivity disorder | 35,445 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003753/ScoringFiles/PGS003753.txt.gz |
| PGS018951 (TPMI_315_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Develomental delays and disorders | specific developmental disorder | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018951/ScoringFiles/PGS018951.txt.gz | |
| PGS018952 (TPMI_315_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Develomental delays and disorders | specific developmental disorder | 178,694 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018952/ScoringFiles/PGS018952.txt.gz | |
| PGS018953 (TPMI_315_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Develomental delays and disorders | specific developmental disorder | 28,656 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018953/ScoringFiles/PGS018953.txt.gz | |
| PGS018954 (TPMI_315_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Develomental delays and disorders | specific developmental disorder | 983,831 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018954/ScoringFiles/PGS018954.txt.gz | |
| PGS018955 (TPMI_315_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Develomental delays and disorders | specific developmental disorder | 1,013,967 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018955/ScoringFiles/PGS018955.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM014920 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Specific internalizing (at baseline) | β: -0.06 (0.02) | — | — | — | — |
| PPM014921 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Specific conduct problem (1-year follow-up) | β: 0.09 (0.02) | — | — | — | — |
| PPM014922 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Specific ADHD (1-year follow-up) | β: 0.11 (0.03) | — | — | — | — |
| PPM014924 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: UPPS Impulsive Behavior Scale (Positive urgency) | β: 0.046 (0.016) | — | — | Age, sex, and the first 10 principal components of population structure | — |
| PPM014925 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: Latent executive functioning | β: -0.042 | — | — | Age, sex, and the first 10 principal components of population structure | — |
| PPM014919 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: General factor of psychological problems (1-year follow-up) | β: 0.07 (0.02) | — | — | — | — |
| PPM014923 | PGS002746 (PRS_ADHD) |
PSS009931| European Ancestry| 4,483 individuals |
PGP000358 | Lahey BB et al. J Psychiatr Res (2022) |
Reported Trait: UPPS Impulsive Behavior Scale (Low perseverance) | β: 0.043 (0.017) | — | — | Age, sex, and the first 10 principal components of population structure | — |
| PPM018515 | PGS003753 (PRS35445_ADHD) |
PSS011004| Hispanic or Latin American Ancestry| 237 individuals |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Reported Trait: ADHD scores from DAWBA questionnaire | β: 1.35e-06 | — | — | — | — |
| PPM018516 | PGS003753 (PRS35445_ADHD) |
PSS011004| Hispanic or Latin American Ancestry| 237 individuals |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Reported Trait: Segregation of brain functional network (cingulo-opercular network) | β: -3e-05 (1.28e-05) | — | — | — | — |
| PPM018517 | PGS003753 (PRS35445_ADHD) |
PSS011004| Hispanic or Latin American Ancestry| 237 individuals |
PGP000473 | Sato JR et al. Genes Brain Behav (2023) |
Reported Trait: Segregation of brain functional network (default mode) | β: 2e-05 (1.05e-05) | — | — | — | — |
| PPM037133 | PGS018951 (TPMI_315_Lassosum2) |
PSS012854| East Asian Ancestry| 19,934 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Develomental delays and disorders | — | AUROC: 0.66544 | R²: 0.00499 | sex, age, array, PCs 1-10 | — |
| PPM037134 | PGS018952 (TPMI_315_LDpred2) |
PSS012853| East Asian Ancestry| 19,934 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Develomental delays and disorders | — | AUROC: 0.66519 | R²: 0.00497 | sex, age, array, PCs 1-10 | — |
| PPM037135 | PGS018953 (TPMI_315_MegaPRS) |
PSS012855| East Asian Ancestry| 19,934 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Develomental delays and disorders | — | AUROC: 0.66353 | R²: 0.00494 | sex, age, array, PCs 1-10 | — |
| PPM037136 | PGS018954 (TPMI_315_PRS-CS) |
PSS012856| East Asian Ancestry| 19,934 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Develomental delays and disorders | — | AUROC: 0.66181 | R²: 0.00498 | sex, age, array, PCs 1-10 | — |
| PPM037137 | PGS018955 (TPMI_315_SBayesR) |
PSS012857| East Asian Ancestry| 19,934 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Develomental delays and disorders | — | AUROC: 0.66238 | R²: 0.00511 | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS011004 | — | — | 237 individuals, 51.0 % Male samples |
— | Hispanic or Latin American (Brazilian) |
— | NR | BHRCS |
| PSS009931 | — | 4,483 individuals, 53.2 % Male samples |
Mean = 118.94 months Sd = 7.48 months |
European | — | NR | ABCD | |
| PSS012853 | 307.9, 315, 317, 318, 319, V40,F63.3, F70, F71, F72, F73, F78, F79, F80, F81.0, F81.2, F81.8, F81.9, F82, F88, F89, H93.25, R45.1, R45.81, R45.82 | — | [ ,
45.98 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012854 | 307.9, 315, 317, 318, 319, V40,F63.3, F70, F71, F72, F73, F78, F79, F80, F81.0, F81.2, F81.8, F81.9, F82, F88, F89, H93.25, R45.1, R45.81, R45.82 | — | [ ,
45.98 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012855 | 307.9, 315, 317, 318, 319, V40,F63.3, F70, F71, F72, F73, F78, F79, F80, F81.0, F81.2, F81.8, F81.9, F82, F88, F89, H93.25, R45.1, R45.81, R45.82 | — | [ ,
45.98 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012856 | 307.9, 315, 317, 318, 319, V40,F63.3, F70, F71, F72, F73, F78, F79, F80, F81.0, F81.2, F81.8, F81.9, F82, F88, F89, H93.25, R45.1, R45.81, R45.82 | — | [ ,
45.98 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012857 | 307.9, 315, 317, 318, 319, V40,F63.3, F70, F71, F72, F73, F78, F79, F80, F81.0, F81.2, F81.8, F81.9, F82, F88, F89, H93.25, R45.1, R45.81, R45.82 | — | [ ,
45.98 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |