PGS Publication: PGP000800

Publication Information (EuropePMC)
Title Inherited predisposition to increased systemic inflammation predicts a broad class of disease phenotypes.
PubMed ID 42698209(Europe PMC)
doi 10.1016/j.xhgg.2026.100671
Publication Date Sept. 4, 2026
Journal HGG Adv
Author(s) Jandu HK, Olowofela A, Shuey M, Quade K, Tuftin B, Raffield LM, Li Y, Cox N, Auer PL, Kerns SL.
Released in PGS Catalog: Oct. 23, 2026

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

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)
PGS012559
(iPRS-M)
PGP000800 |
Jandu HK et al. HGG Adv (2026)
INFLA-Score platelet count,
C-reactive protein measurement,
neutrophil-to-lymphocyte ratio,
leukocyte quantity
1,188
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012559/ScoringFiles/PGS012559.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM030688 PGS012559
(iPRS-M)
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 — —

Evaluated Samples

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