| Predicted Trait | |
| Reported Trait | Gastrointestinal cancer |
| Mapped Trait(s) | Digestive System Carcinoma (EFO_1000218) |
| Score Construction | |
| PGS Name | PRS_GI |
| Development Method | |
| Name | Genome-wide significant SNPs |
| Parameters | r2>0.8, p<5E-08 |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 106 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000359 |
| Citation (link to publication) | Liu Y et al. Cancer Med (2022) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | Not Reported: 58.7% European: 41.3% 561,306 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
Europe PMC: 30243622 |
329,463 individuals | Not reported | NR |
GWAS Catalog: GCST002992 Europe PMC: 26098866 |
208,152 individuals | European | NR |
GWAS Catalog: GCST012877 Europe PMC: 30510241 |
23,691 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 |
|---|---|---|---|---|---|---|---|---|
| PPM014926 | PSS009932| European Ancestry| 430,036 individuals |
PGP000359 | Liu Y et al. Cancer Med (2022) |
Reported Trait: Incident gastrointestinal cancer | — | — | Hazard Ratio (HR, high vs low): 2.28 [2.09, 2.49] | Age group, gender, qualification, Townsend Deprivation Index, family history of cancer, smoking status, alcohol consumption and the top 10 genetic principal components | — |
| PPM014927 | PSS009932| European Ancestry| 430,036 individuals |
PGP000359 | Liu Y et al. Cancer Med (2022) |
Reported Trait: Incident gastrointestinal cancer (with metabolic syndrome) | — | — | Hazard Ratio (HR, high vs low): 2.75 [2.43, 3.12] | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009932 | MetS is defined as having any three or more of five MetS components, including central obesity, hypertension, dyslipidemia, hypertriglyceridemia, and hyperglyce- mia, according to the National Cholesterol Education Programme Adult Treatment Panel III criteria (NCEP- ATP III) | — | [
|
— | European | — | UKB | — |