| Predicted Trait | |
| Reported Trait | Venous thromboembolism |
| Mapped Trait(s) | venous thromboembolism (EFO_0004286) |
| Score Construction | |
| PGS Name | PRS_VTE_EUR_GHOUSE |
| Development Method | |
| Name | PRS-CS |
| Parameters | auto |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 1,092,045 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000398 |
| Citation (link to publication) | Ghouse J et al. Nat Genet (2023) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 1,064,421 individuals (100%) |
| PGS Evaluation | |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | [
|
European (Icelandic, American, Danish and Finnish) |
CHB, DBDS, FinnGen, IHCS, deCODE |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM016143 | PSS010047| European Ancestry| 436,440 individuals |
PGP000398 | Ghouse J et al. Nat Genet (2023) |
Reported Trait: Prevalent VTE | OR: 1.51 | AUROC: 0.664 [0.659, 0.669] | — | age, sex, 4 PCs | — |
| PPM020880 | PSS011439| Multi-ancestry (including European)| 70,406 individuals |
PGP000597 | Shi Z et al. Thromb Res (2023) |Ext. |
Reported Trait: Incident cancer-associated thrombosis | — | — | Hazard ratio (HR, top PRS decile vs rest): 1.75 [1.62, 1.88] | Age, gender, BMI and 10 PCs | — |
| PPM022174 | PSS011827| Multi-ancestry (including European)| 8,210 individuals |
PGP000681 | Rifkin AS et al. World J Gastroenterol (2023) |Ext. |
Reported Trait: Incident venous thromboembolism in individuals with inflammatory bowel disease | — | AUROC: 0.68 [0.65, 0.71] | Hazard ratio (HR, PGS in top 10% vs middle 80%): 1.98 [1.52, 2.57] | Sex, body mass index, 10 PCs | 1,515 SNPs from F2 and F5 genes excluded |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011827 | — | — | [
|
— | European | — | UKB | — |
| PSS011827 | — | — | [
|
— | Not reported | — | UKB | — |
| PSS010047 | — | — | [
|
— | European | — | UKB | — |
| PSS011439 | — | — | 68,709 individuals, 52.59 % Male samples |
Mean = 60.42 years Ci = [60.37, 60.48] years |
European | — | UKB | — |
| PSS011439 | — | — | 105 individuals, 52.38 % Male samples |
Mean = 55.61 years Ci = [54.11, 57.11] years |
African unspecified | — | UKB | — |
| PSS011439 | — | — | 730 individuals, 49.18 % Male samples |
Mean = 57.46 years Ci = [56.89, 58.03] years |
Asian unspecified | — | UKB | — |
| PSS011439 | — | — | 862 individuals, 51.86 % Male samples |
Mean = 57.82 years Ci = [57.28, 58.36] years |
Not reported | — | UKB | — |