| Predicted Trait | |
| Reported Trait | Cirrhosis |
| Mapped Trait(s) | cirrhosis of liver (EFO_0001422) |
| Score Construction | |
| PGS Name | cirrhosis_pgs_eur |
| Development Method | |
| Name | PRS-CS |
| Parameters | PRS-CS default setting (auto) |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,089,806 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000594 |
| Citation (link to publication) | Ghouse J et al. Nat Genet (2024) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 1,580,011 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST90319877 |
1,580,011 individuals | European | 8 cohorts
|
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM020806 | PSS011418| European Ancestry| 1,153,995 individuals |
PGP000594 | Ghouse J et al. Nat Genet (2024) |
Reported Trait: Cirrhosis | OR: 1.42 | AUROC: 0.68 | — | age,sex,10 PCs | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011418 | ICD10: K70.2, K70.3, K70.4, K74.0, K74.1, K74.2, K74.6, K76.6, or I85 | — | [
|
— | European | — | 7 cohorts
|
— |