Evidence map›Paper›PMID 42101353›Full record

ArticleInternational journal of epidemiology2026

Estimating causal effects of C-reactive protein on disease and health outcomes using multivariable Mendelian randomization adjusting for heritable confounding.

Ruoyao Shi, Jean Morrison

Abstract read
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Article in International journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ruoyao ShiDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-8957-1712
Jean MorrisonDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-4829-8283

Funding

Mendelian randomization for modern data: Integrating data resources to improve accuracy of causal estimates.R01HG013104 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jean V. Morrison · 2023 to 2026
$1.4M
NHGRI NIH HHS R01 HG013104
6 · The paper itself

Abstract

backgroundC-reactive protein (CRP) is a marker of inflammation associated with autoimmune, cardiovascular, and neuropsychiatric disorders. However, it remains unclear whether CRP causally affects these traits or if observed associations result from reverse causation or confounding. Mendelian randomization (MR) uses genetic variants as instrumental variables to estimate causal effects and avoid the biases present in observational studies. Prior MR studies have suggested causal effects of CRP on several traits, including low-density lipoprotein (LDL) cholesterol, schizophrenia (SCZ), and knee osteoarthritis (OA). However, MR may produce biased results if traits that confound the exposure and outcome are heritable, resulting in horizontal pleiotropy. This is a major concern for studies of CRP, because CRP levels may increase in response to inflammation caused by a wide range of heritable conditions.

methodsMultivariable Mendelian randomization (MVMR) can be used to eliminate bias from heritable confounding when genome-wide association study (GWAS) summary data are available for confounders. In this study, we used MVMR to estimate the causal effects of CRP on 16 outcomes with prior evidence of a causal or associational link to CRP. We used a novel computational pipeline to identify a broad set of potential heritable confounders between CRP and each outcome trait from studies in the Medical Research Council Integrative Epidemiology Unit (MRC-IEU) OpenGWAS database. We compared MVMR results with computationally selected confounders to univariable MR results and MVMR adjusting only for body mass index.

resultsUnivariable MR suggests evidence of potential causal effects of CRP on coronary artery disease, high-density lipoprotein (HDL) cholesterol, LDL cholesterol, triglycerides, type 2 diabetes, glycated hemoglobin (HbA1c), rheumatoid arthritis (RA), SCZ and OA at the nominal P < .05 significance level. However, after adjusting for computationally selected heritable confounders, only effects on HDL cholesterol (negative), HbA1c (positive), RA (risk increasing), and SCZ (risk decreasing) remain nominally significant. Using confounder-adjusted MVMR additionally reveals evidence of a protective effect of CRP on bipolar disorder not observed in the univariable analysis.

conclusionThese results suggest that univariable MR analyses of CRP may be biased by high levels of heritable confounding, though CRP may indeed play a causal role in development of some diseases, potentially mediated by its role in innate immunity. These results also highlight the potential for automatic confounder selection to improve the robustness of MR analyses.

Indexed as

C-Reactive ProteinDiseaseConfounding Factors, EpidemiologicGenome-Wide Association StudyHumansMendelian Randomization AnalysisC-Reactive ProteinC-reactive proteinheritable confoundingMendelian randomization

Identifiers

PMID42101353
PMCPMC13375238

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.