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Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke

Author

Listed:
  • Lingyan Chen

    (University of Cambridge
    Novo Nordisk Research Centre Oxford)

  • James E. Peters

    (University of Cambridge
    Imperial College London)

  • Bram Prins

    (University of Cambridge)

  • Elodie Persyn

    (University of Cambridge
    King’s College London
    University of Cambridge)

  • Matthew Traylor

    (Novo Nordisk Research Centre Oxford
    Queen Mary University of London)

  • Praveen Surendran

    (University of Cambridge
    University of Cambridge)

  • Savita Karthikeyan

    (University of Cambridge)

  • Ekaterina Yonova-Doing

    (University of Cambridge
    Novo Nordisk Research Centre Oxford)

  • Emanuele Angelantonio

    (University of Cambridge
    University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge)

  • David J. Roberts

    (University of Cambridge
    John Radcliffe Hospital
    University of Oxford, John Radcliffe Hospital)

  • Nicholas A. Watkins

    (Cambridge Biomedical Campus)

  • Willem H. Ouwehand

    (University of Cambridge
    Cambridge Biomedical Campus
    University of Cambridge
    Wellcome Sanger Institute)

  • John Danesh

    (University of Cambridge
    University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge)

  • Cathryn M. Lewis

    (King’s College London
    King’s College London)

  • Paola G. Bronson

    (Biogen, Inc.)

  • Hugh S. Markus

    (University of Cambridge)

  • Stephen Burgess

    (University of Cambridge
    University of Cambridge
    University of Cambridge)

  • Adam S. Butterworth

    (University of Cambridge
    University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge)

  • Joanna M. M. Howson

    (University of Cambridge
    Novo Nordisk Research Centre Oxford)

Abstract

Stroke is the second leading cause of death with substantial unmet therapeutic needs. To identify potential stroke therapeutic targets, we estimate the causal effects of 308 plasma proteins on stroke outcomes in a two-sample Mendelian randomization framework and assess mediation effects by stroke risk factors. We find associations between genetically predicted plasma levels of six proteins and stroke (P ≤ 1.62 × 10−4). The genetic associations with stroke colocalize (Posterior Probability >0.7) with the genetic associations of four proteins (TFPI, TMPRSS5, CD6, CD40). Mendelian randomization supports atrial fibrillation, body mass index, smoking, blood pressure, white matter hyperintensities and type 2 diabetes as stroke risk factors (P ≤ 0.0071). Body mass index, white matter hyperintensity and atrial fibrillation appear to mediate the TFPI, IL6RA, TMPRSS5 associations with stroke. Furthermore, thirty-six proteins are associated with one or more of these risk factors using Mendelian randomization. Our results highlight causal pathways and potential therapeutic targets for stroke.

Suggested Citation

  • Lingyan Chen & James E. Peters & Bram Prins & Elodie Persyn & Matthew Traylor & Praveen Surendran & Savita Karthikeyan & Ekaterina Yonova-Doing & Emanuele Angelantonio & David J. Roberts & Nicholas A., 2022. "Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33675-1
    DOI: 10.1038/s41467-022-33675-1
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    References listed on IDEAS

    as
    1. Chen Yao & George Chen & Ci Song & Joshua Keefe & Michael Mendelson & Tianxiao Huan & Benjamin B. Sun & Annika Laser & Joseph C. Maranville & Hongsheng Wu & Jennifer E. Ho & Paul Courchesne & Asya Lya, 2018. "Author Correction: Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    2. Claudia Giambartolomei & Damjan Vukcevic & Eric E Schadt & Lude Franke & Aroon D Hingorani & Chris Wallace & Vincent Plagnol, 2014. "Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics," PLOS Genetics, Public Library of Science, vol. 10(5), pages 1-15, May.
    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.
    4. Maik Pietzner & Eleanor Wheeler & Julia Carrasco-Zanini & Nicola D. Kerrison & Erin Oerton & Mine Koprulu & Jian’an Luan & Aroon D. Hingorani & Steve A. Williams & Nicholas J. Wareham & Claudia Langen, 2021. "Synergistic insights into human health from aptamer- and antibody-based proteomic profiling," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    5. Stephen Burgess & Christopher N Foley & Elias Allara & James R Staley & Joanna M. M. Howson, 2020. "A robust and efficient method for Mendelian randomization with hundreds of genetic variants," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    6. Benjamin B. Sun & Joseph C. Maranville & James E. Peters & David Stacey & James R. Staley & James Blackshaw & Stephen Burgess & Tao Jiang & Ellie Paige & Praveen Surendran & Clare Oliver-Williams & Mi, 2018. "Genomic atlas of the human plasma proteome," Nature, Nature, vol. 558(7708), pages 73-79, June.
    7. Chen Yao & George Chen & Ci Song & Joshua Keefe & Michael Mendelson & Tianxiao Huan & Benjamin B. Sun & Annika Laser & Joseph C. Maranville & Hongsheng Wu & Jennifer E. Ho & Paul Courchesne & Asya Lya, 2018. "Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    8. Elodie Persyn & Ken B. Hanscombe & Joanna M. M. Howson & Cathryn M. Lewis & Matthew Traylor & Hugh S. Markus, 2020. "Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
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