Trait: C-reactive protein measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004458
  • C-reactive protein (CRP) measurement is a measurement of the level of C-reactive protein in the blood. Levels are known to rise in response to inflammation, CRP is therefore used as a clinical measure of inflammation. The measurement is used in the process of clinical diagnosis as high levels of CRP are associated with cardiovascular disease, diabetes and hypertension and in some cancers.
Trait category
Inflammatory measurement
Synonyms C-reactive protein level
Mapped term(s) 2 mapped terms
  • NCIt:C64548
  • SNOMEDCT:55235003

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:
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Multi-ancestry (excluding European)
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Additional Asian Ancestries
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution PGS Scoring File (FTP Link)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
C-reactive protein C-reactive protein measurement 77
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
C-reactive protein [mg/L] C-reactive protein measurement 17,378
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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
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000784 PGS000314
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: C-reactive protein (mg/l) : 0.0369 Sex, age
PPM001438 PGS000675
East Asian Ancestry|
1,077 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: C-reactive protein [mg/L] : 0.10659
Spearman's ρ: 0.274
Age, sex, PCs(1-40)
PPM001473 PGS000675
European Ancestry|
23,534 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: C-reactive protein [mg/L] : 0.15954
Spearman's ρ: 0.346
Age, sex, PCs(1-40)
PPM001508 PGS000675
South Asian Ancestry|
7,316 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: C-reactive protein [mg/L] : 0.13562
Spearman's ρ: 0.315
Age, sex, PCs(1-40)
PPM001543 PGS000675
European Ancestry|
63,656 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: C-reactive protein [mg/L] : 0.14786
Spearman's ρ: 0.353
Age, sex, PCs(1-40)
PPM001593 PGS000675
European Ancestry|
2,128 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: C-reactive protein [mg/L] Spearman's ρ: 0.254 Age, sex
PPM001403 PGS000675
African Ancestry|
6,006 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: C-reactive protein [mg/L] : 0.07691
Spearman's ρ: 0.196
Age, sex, PCs(1-40)

Evaluated Samples

PGS Sample Set ID
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
PSS000652 6,006 individuals African unspecified UKB
PSS000653 1,077 individuals East Asian UKB
PSS000654 23,534 individuals European Non-British White UKB
PSS000655 7,316 individuals South Asian UKB
PSS000656 63,656 individuals European
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,354 individuals,
47.56 % Male samples
Mean = 16.22 years
Sd = 0.66 years
European TRAILS
PSS000801 2,128 individuals European Participants self-identifying as white MESA