| Predicted Trait | |
| Reported Trait | INFLA-Score |
| Mapped Trait(s) | |
| Additional Trait Information | The INFLA-Score is a composite measure of low-grade systemic inflammation based on circulating levels of biomarkers of inflammation including C-Reactive Protein, white blood cell (WBC) count, platelet count, and neutrophil-lymphocyte ratio. |
| Score Construction | |
| PGS Name | iPRS-M |
| Development Method | |
| Name | PRSice-2 |
| Parameters | p = 5e-8, clump-kb = 250kb, clump-p = 1.0, clump-r2 = 0.1 |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 1,188 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000800 |
| Citation (link to publication) | Jandu HK et al. HGG Adv (2026) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
Europe PMC: 33462484 |
403,583 individuals, 46.0 % Male samples |
European | UKB |
Europe PMC: 33462484 |
7,103 individuals, 42.0 % Male samples |
African unspecified | UKB |
Europe PMC: 33462484 |
1,550 individuals, 35.0 % Male samples |
East Asian | UKB |
Europe PMC: 33462484 |
9,131 individuals, 53.0 % Male samples |
Central Asian | UKB |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| — | 40,441 individuals, 54.0 % Male samples |
European | UKB | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | Mean = 56.9 years Sd = 8.0 years |
— | We defined ancestry using principal components provided in the UK Biobank | We generated a cohort consisting of randomly selected 10% of each ancestry group within the UK Biobank cohort. Then we combined the derived 10% from each ancestry group and performed clumping using their genetic data. |
| — | 712 individuals, 58.0 % Male samples |
African unspecified | UKB | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | Mean = 51.9 years Sd = 8.0 years |
— | We defined ancestry using principal components provided in the UK Biobank | We generated a cohort consisting of randomly selected 10% of each ancestry group within the UK Biobank cohort. Then we combined the derived 10% from each ancestry group and performed clumping using their genetic data. |
| — | 156 individuals, 65.0 % Male samples |
East Asian | UKB | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | Mean = 52.4 years Sd = 7.8 years |
— | We defined ancestry using principal components provided in the UK Biobank | We generated a cohort consisting of randomly selected 10% of each ancestry group within the UK Biobank cohort. Then we combined the derived 10% from each ancestry group and performed clumping using their genetic data. |
| — | 915 individuals, 45.0 % Male samples |
Central Asian | UKB | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | Mean = 53.2 years Sd = 8.5 years |
— | We defined ancestry using principal components provided in the UK Biobank | We generated a cohort consisting of randomly selected 10% of each ancestry group within the UK Biobank cohort. Then we combined the derived 10% from each ancestry group and performed clumping using their genetic data. |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM030688 | PSS012248| Multi-ancestry (including European)| 4,833 individuals |
PGP000800 | Jandu HK et al. HGG Adv (2026) |
Reported Trait: INFLA-Score | β: 0.98 [0.797, 1.162] | — | R²: 0.026 | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 713 individuals | Mean = 55.7 years Sd = 16.31 years |
African unspecified | — | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 174 individuals | Mean = 55.7 years Sd = 16.31 years |
Not reported | — | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 3,026 individuals | Mean = 55.7 years Sd = 16.31 years |
European | — | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 920 individuals | Mean = 55.7 years Sd = 16.31 years |
Hispanic or Latin American (Admixed American) |
— | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |