Trait Information | |
Identifier | MONDO_0000831 |
Description | The formation of a blood clot in the lumen of a vessel or heart chamber; causes include coagulation disorders and vascular endothelial injury. [NCIT: C26891] | Trait category |
Cardiovascular disease
|
Synonyms |
8 synonyms
|
Mapped terms |
7 mapped terms
|
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) |
---|---|---|---|---|---|---|
PGS000930 (GBE_BIN_FC3006152) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Blood clot (diagnosed by doctor) | thrombotic disease | 118 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000930/ScoringFiles/PGS000930.txt.gz |
PGS000931 (GBE_BIN_FC11006152) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Blood clot or deep vein thrombosis (diagnosed by doctor) | deep vein thrombosis, thrombotic disease |
534 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000931/ScoringFiles/PGS000931.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 |
---|---|---|---|---|---|---|---|---|---|
PPM007477 | PGS000930 (GBE_BIN_FC3006152) |
PSS003914| African Ancestry| 4,286 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.64618 [0.56748, 0.72489] | R²: 0.02826 Incremental AUROC (full-covars): 0.00845 PGS R2 (no covariates): 0.00198 PGS AUROC (no covariates): 0.53535 [0.45318, 0.61752] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007478 | PGS000930 (GBE_BIN_FC3006152) |
PSS003915| East Asian Ancestry| 945 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.83468 [0.6451, 1.0] | R²: 0.18847 Incremental AUROC (full-covars): -0.00149 PGS R2 (no covariates): 0.00357 PGS AUROC (no covariates): 0.56702 [0.36049, 0.77355] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007479 | PGS000930 (GBE_BIN_FC3006152) |
PSS003916| European Ancestry| 17,235 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.62906 [0.59189, 0.66622] | R²: 0.02094 Incremental AUROC (full-covars): 0.04321 PGS R2 (no covariates): 0.01048 PGS AUROC (no covariates): 0.59654 [0.5564, 0.63667] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007480 | PGS000930 (GBE_BIN_FC3006152) |
PSS003917| South Asian Ancestry| 5,381 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.71068 [0.63185, 0.78951] | R²: 0.04649 Incremental AUROC (full-covars): 0.02778 PGS R2 (no covariates): 0.00789 PGS AUROC (no covariates): 0.59225 [0.49685, 0.68766] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007481 | PGS000930 (GBE_BIN_FC3006152) |
PSS003918| European Ancestry| 46,847 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.6205 [0.59778, 0.64322] | R²: 0.01789 Incremental AUROC (full-covars): 0.05259 PGS R2 (no covariates): 0.01324 PGS AUROC (no covariates): 0.60274 [0.57915, 0.62633] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007482 | PGS000931 (GBE_BIN_FC11006152) |
PSS003790| African Ancestry| 4,390 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.61925 [0.57619, 0.6623] | R²: 0.02193 Incremental AUROC (full-covars): -0.00229 PGS R2 (no covariates): 0.00035 PGS AUROC (no covariates): 0.50724 [0.46275, 0.55173] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007483 | PGS000931 (GBE_BIN_FC11006152) |
PSS003791| East Asian Ancestry| 952 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.68652 [0.54244, 0.83061] | R²: 0.05141 Incremental AUROC (full-covars): 0.00532 PGS R2 (no covariates): 0.00103 PGS AUROC (no covariates): 0.5328 [0.37688, 0.68873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007484 | PGS000931 (GBE_BIN_FC11006152) |
PSS003792| European Ancestry| 17,648 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.64786 [0.62647, 0.66925] | R²: 0.03411 Incremental AUROC (full-covars): 0.03737 PGS R2 (no covariates): 0.01507 PGS AUROC (no covariates): 0.59359 [0.57084, 0.61634] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007485 | PGS000931 (GBE_BIN_FC11006152) |
PSS003793| South Asian Ancestry| 5,480 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.63964 [0.59263, 0.68666] | R²: 0.02677 Incremental AUROC (full-covars): 0.01249 PGS R2 (no covariates): 0.00502 PGS AUROC (no covariates): 0.55473 [0.50496, 0.60449] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007486 | PGS000931 (GBE_BIN_FC11006152) |
PSS003794| European Ancestry| 48,060 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.62837 [0.61546, 0.64128] | R²: 0.02953 Incremental AUROC (full-covars): 0.0429 PGS R2 (no covariates): 0.01795 PGS AUROC (no covariates): 0.59176 [0.57816, 0.60536] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
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 |
---|---|---|---|---|---|---|---|---|
PSS003914 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003915 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003916 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003917 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003918 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS003790 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003791 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003792 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003793 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003794 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |