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Evidence of causal effects of blood pressure on back pain and back pain on type II diabetes provided by a bidirectional Mendelian randomization study

  • Author Footnotes
    § These authors contributed equally to this work
    Pradeep Suri
    Correspondence
    Corresponding author: Pradeep Suri, MD, MS, Division of Rehabilitation Care Services, VA Puget Sound Health Care System, S-152-ERIC, 1660 S. Columbian Way, Seattle, WA, 98108, USA. Tel: 1-206-277-1812, fax: 1-206-764-2673.
    Footnotes
    § These authors contributed equally to this work
    Affiliations
    Division of Rehabilitation Care Services, VA Puget Sound Health Care System, 1660 S. Columbian Way, 98108, Seattle, USA

    Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, 1660 S. Columbian Way, 98108, Seattle, USA

    Department of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, 98104, Seattle, USA

    Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, 325 Ninth Avenue, 98104, Seattle, USA
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  • Author Footnotes
    § These authors contributed equally to this work
    Elizaveta E. Elgaeva
    Footnotes
    § These authors contributed equally to this work
    Affiliations
    Department of Natural Sciences, Novosibirsk State University, Pirogova Street 2, 630090,Novosibirsk, Russia

    Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 630090, Novosibirsk, Russia
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  • Author Footnotes
    § These authors contributed equally to this work
    Frances M.K. Williams
    Footnotes
    § These authors contributed equally to this work
    Affiliations
    Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, Westminster Bridge Road, London, UK
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  • Maxim B. Freidin
    Affiliations
    Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, Fogg Buliding, Mile End Road, London, UK
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  • Olga O. Zaytseva
    Affiliations
    Genos Glycoscience Research Laboratory, Borongajska cesta 83H, 10000, Zagreb, Croatia
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  • Yurii S. Aulchenko
    Affiliations
    Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 630090, Novosibirsk, Russia

    PolyOmica, Het Vlaggeschip 61, 5237 PA, ‘s-Hertogenbosch, the Netherlands
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  • Yakov A. Tsepilov
    Affiliations
    Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 630090, Novosibirsk, Russia

    Kurchatov Genomics Center, Institute of Cytology & Genetics, 630090, Novosibirsk, Russia
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  • Author Footnotes
    § These authors contributed equally to this work

      Abstract

      Background context

      Cardiovascular risk factors (hypertension, dyslipidemia, and type II diabetes) have been proposed as risk factors for back pain. However, few longitudinal studies have found significant associations between cardiovascular risk factors and back pain, and these may be explained by confounding or reverse causation.

      Purpose

      To examine potential causal effects of cardiovascular risk factors on back pain, and vice versa.

      STUDY DESIGN

      Bidirectional Mendelian randomization (MR) study.

      Patient samples

      Genome-wide association studies (GWAS) with sample sizes between 173,082 and 1,028,947 participants.

      Outcome measures

      Outcomes included (1) back pain associated with health care use (BP-HC) in the forward MR; and (2) seven cardiovascular phenotypes in the reverse MR, including 2 measurements used for the evaluation of hypertension (diastolic blood pressure and systolic blood pressure), 4 phenotypes related to dyslipidemia (LDL cholesterol, HDL cholesterol, total cholesterol, and triglycerides), and type II diabetes.

      Methods

      We used summary statistics from large, publicly available GWAS for BP-HC and the 7 cardiovascular phenotypes to obtain genetic instrumental variables. We examined MR evidence for causal associations using inverse-variance weighted (IVW) analysis, Causal Analysis Using Summary Effect (CAUSE), and sensitivity analyses.

      Results

      In forward MR analyses of seven cardiovascular phenotypes, diastolic blood pressure was associated with BP-HC across all analyses (IVW estimate: OR = 1.10 per 10.5 mm Hg increase [1.04–1.17], p-value = .001), and significant associations of systolic blood pressure with BP-HC were also found (IVW estimate: OR = 1.09 per 19.3 mm Hg increase [1.04–1.15], p-value = .0006). In reverse MR analyses, only type II diabetes was associated with BP-HC across all analyses (IVW estimate: OR = 1.40 [1.13–1.73], p-value = .002).

      Conclusions

      These findings from analyses of large, population-based samples indicate that higher blood pressure increases the risk of BP-HC, and BP-HC itself increases the risk of type II diabetes.

      Keywords

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