| Publication Information (EuropePMC) | |
| Title | Association of hospital-treated infectious diseases and infection burden with cardiovascular diseases and life expectancy. |
| PubMed ID | 38528394(Europe PMC) |
| doi | 10.1111/joim.13780 |
| Publication Date | March 25, 2024 |
| Journal | J Intern Med |
| Author(s) | Zheng J, Ni C, Lee SWR, Li FR, Huang J, Zhou R, Huang Y, Lip GYH, Wu X, Tang S. |
| 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) |
|---|---|---|---|---|---|---|
| PGS012579 (PRS11_stroke) |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Stroke | stroke disorder | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012579/ScoringFiles/PGS012579.txt.gz |
| PGS012581 (PRS169_CAD) |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Coronary artery disease | coronary artery disorder | 169 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012581/ScoringFiles/PGS012581.txt.gz |
| PGS012580 (PRS25_AF) |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Atrial fibrillation | atrial fibrillation | 25 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012580/ScoringFiles/PGS012580.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM030734 | PGS012580 (PRS25_AF) |
PSS012270| Multi-ancestry (including European)| 453,102 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Atrial fibrillation | — | — | Hazard ratio (HR, high vs low tertile): 1.83 [1.66, 2.0] | major cardiovascular risk factors: Age, sex, ethnicity, the TDI, level of education, annual household income, BMI, smoking status, alcohol intake, physical activity (weekly metabolic equivalent minutes ≥600), vitamin supplementation, and comorbidities that may increase the risk of infections (i.e., hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease) | — |
| PPM030735 | PGS012581 (PRS169_CAD) |
PSS012270| Multi-ancestry (including European)| 453,102 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Coronary artery disease | — | — | Hazard ratio (HR, high vs low tertile): 1.79 [1.72, 1.86] | major cardiovascular risk factors: Age, sex, ethnicity, the TDI, level of education, annual household income, BMI, smoking status, alcohol intake, physical activity (weekly metabolic equivalent minutes ≥600), vitamin supplementation, and comorbidities that may increase the risk of infections (i.e., hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease) | — |
| PPM030736 | PGS012581 (PRS169_CAD) |
PSS012271| Multi-ancestry (excluding European)| 27,426 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Coronary artery disease x infectious disease interaction | — | — | Hazard ratio (HR, with high infection and high PRS vs. no infection and low PRS): 3.41 [1.67, 5.28] | sex, age (timescale), the Townsend Deprivation Index, level of education, annual household income, body mass index, smoking status, alcohol intake, physical activity, vitamin supplementation, hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease | — |
| PPM030733 | PGS012579 (PRS11_stroke) |
PSS012270| Multi-ancestry (including European)| 453,102 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Stroke | — | — | Hazard ratio (HR, high vs low tertile): 1.61 [1.41, 1.82] | major cardiovascular risk factors: Age, sex, ethnicity, the TDI, level of education, annual household income, BMI, smoking status, alcohol intake, physical activity (weekly metabolic equivalent minutes ≥600), vitamin supplementation, and comorbidities that may increase the risk of infections (i.e., hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease) | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012270 | — | — | 425,676 individuals | — | European | — | UKB | — |
| PSS012270 | — | — | 8,639 individuals | — | South Asian | — | UKB | — |
| PSS012270 | — | — | 7,345 individuals | — | African American or Afro-Caribbean | — | UKB | — |
| PSS012270 | — | — | 1,462 individuals | — | East Asian (Chinese) |
— | UKB | — |
| PSS012270 | — | — | 9,980 individuals | — | Not reported | — | UKB | — |
| PSS012271 | — | — | 8,639 individuals | — | South Asian | — | UKB | — |
| PSS012271 | — | — | 7,345 individuals | — | African American or Afro-Caribbean | — | UKB | — |
| PSS012271 | — | — | 1,462 individuals | — | East Asian (Chinese) |
— | UKB | — |
| PSS012271 | — | — | 9,980 individuals | — | Not reported | — | UKB | — |