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Pleiotropic genetic architecture and novel loci for C-reactive protein levels

Author

Listed:
  • Fotios Koskeridis

    (University of Ioannina Medical School)

  • Evangelos Evangelou

    (University of Ioannina Medical School
    University of Ioannina
    Imperial College London)

  • Saredo Said

    (University of Oxford)

  • Joseph J. Boyle

    (Imperial College London)

  • Paul Elliott

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Abbas Dehghan

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Ioanna Tzoulaki

    (University of Ioannina Medical School
    University of Ioannina
    Imperial College London
    Imperial College London)

Abstract

C-reactive protein is involved in a plethora of pathophysiological conditions. Many genetic loci associated with C-reactive protein are annotated to lipid and glucose metabolism genes supporting common biological pathways between inflammation and metabolic traits. To identify novel pleiotropic loci, we perform multi-trait analysis of genome-wide association studies on C-reactive protein levels along with cardiometabolic traits, followed by a series of in silico analyses including colocalization, phenome-wide association studies and Mendelian randomization. We find 41 novel loci and 19 gene sets associated with C-reactive protein with various pleiotropic effects. Additionally, 41 variants colocalize between C-reactive protein and cardiometabolic risk factors and 12 of them display unexpected discordant effects between the shared traits which are translated into discordant associations with clinical outcomes in subsequent phenome-wide association studies. Our findings provide insights into shared mechanisms underlying inflammation and lipid metabolism, representing potential preventive and therapeutic targets.

Suggested Citation

  • Fotios Koskeridis & Evangelos Evangelou & Saredo Said & Joseph J. Boyle & Paul Elliott & Abbas Dehghan & Ioanna Tzoulaki, 2022. "Pleiotropic genetic architecture and novel loci for C-reactive protein levels," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34688-6
    DOI: 10.1038/s41467-022-34688-6
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    References listed on IDEAS

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    1. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
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    3. Christopher N. Foley & James R. Staley & Philip G. Breen & Benjamin B. Sun & Paul D. W. Kirk & Stephen Burgess & Joanna M. M. Howson, 2021. "A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
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