| Predicted Trait | |
| Reported Trait | Depression |
| Mapped Trait(s) | major depressive disorder (MONDO_0002009) |
| Score Construction | |
| PGS Name | Depression_prscs |
| Development Method | |
| Name | PRS-CS |
| Parameters | PRS-CS-auto in FinnGen, LD reference panel: European ancestry in 1000 Genomes |
| Variants | |
| Original Genome Build | GRCh38 |
| Number of Variants | 1,091,613 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000364 |
| Citation (link to publication) | Mars N et al. Am J Hum Genet (2022) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 480,359 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST005839 Europe PMC: 29700475 |
480,359 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 |
|---|---|---|---|---|---|---|---|---|
| PPM014959 | PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Depression | OR: 1.26 [1.22, 1.3] | — | — | age, sex, 10 PCs, technical covariates | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |