Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on

BMJ (Clinical Research Ed.)
|February 18, 2011
PubMed

Insights

Genetic variants show C reactive protein (CRP) is unlikely to be a causal factor in coronary heart disease. Mendelian randomization meta-analysis found no significant association between genetically raised CRP and heart disease risk.

Area of Science:

  • Cardiovascular Genetics
  • Inflammation Biomarkers
  • Epidemiology

Background:

  • C reactive protein (CRP) is a marker of inflammation and is associated with coronary heart disease (CHD) risk.
  • The causal role of CRP in CHD remains debated, with observational studies suggesting a link.

Purpose of the Study:

  • To investigate the causal relationship between C reactive protein concentration and coronary heart disease using genetic variants as instrumental variables.
  • To leverage Mendelian randomization to overcome confounding in observational studies.

Main Methods:

  • A large-scale Mendelian randomization meta-analysis of individual participant data from 47 epidemiological studies.
  • Involved 194,418 participants, including 46,557 with CHD.
  • Utilized four CRP gene tagging single nucleotide polymorphisms (SNPs) as genetic proxies for CRP levels.

Main Results:

  • The four CRP genetic variants were strongly associated with CRP concentration but not with other cardiovascular risk factors.
  • Individually, the SNPs showed no significant association with CHD risk per allele.
  • Combined analysis indicated no increased risk of CHD per standard deviation increase in genetically predicted CRP (Risk Ratio: 1.00, 95% CI: 0.90-1.13).
  • This contrasted sharply with observational data showing a significant increase in CHD risk with higher circulating CRP levels (Risk Ratio: 1.33, 95% CI: 1.23-1.43).

Conclusions:

  • Human genetic data strongly suggest that C reactive protein concentration is unlikely to be a causal factor in coronary heart disease.
  • The association observed in epidemiological studies may be due to confounding or reverse causation.
Abstract

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