| Predicted Trait | |
| Reported Trait | Parkinson's disease |
| Mapped Trait(s) | Parkinson disease (MONDO_0005180) |
| Score Construction | |
| PGS Name | PRS44_PD |
| Development Method | |
| Name | Genome-wide significant SNPs |
| Parameters | p<5E-08 |
| Variants | |
| Original Genome Build | NR |
| Number of Variants | 44 |
| Effect Weight Type | log(OR) |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000818 |
| Citation (link to publication) | Geng T et al. NPJ Parkinsons Dis (2024) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 417,508 individuals (100%) |
| PGS Evaluation | |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST004902 Europe PMC: 28892059 |
417,508 individuals | European | NR |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM030743 | PSS012275| Multi-ancestry (including European)| 192,340 individuals |
PGP000818 | Geng T et al. NPJ Parkinsons Dis (2024) |
Reported Trait: Parkinson's disease | HR: 1.07 [1.05, 1.08] | — | — | age at recruitment (continuous, years), and sex (men, women) | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012275 | — | — | 186,624 individuals, 46.3 % Male samples |
Mean = 64.2 years Sd = 2.9 years |
European | — | UKB | — |
| PSS012275 | — | — | 5,716 individuals, 46.3 % Male samples |
Mean = 64.2 years Sd = 2.9 years |
Not reported | — | UKB | — |