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

Lingyan Chen, James E. Peters, Bram P. Prins, Elodie Persyn, Matthew Traylor, Praveen Surendran, Savita Karthikeyan, Ekaterina Yonova-Doing, Emanuele Di Angelantonio, David J. Roberts, Nicholas A. Watkins, Willem H. Ouwehand, John Danesh, Cathryn M. Lewis, Paola G. Bronson, Hugh S. Markus, Stephen Burgess, Adam S. Butterworth, Joanna M. M. Howson

2022Nature Communications133 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Mendelian randomizationStroke (engine)MedicineAtrial fibrillationBioinformaticsInternal medicineBody mass indexCardiologyGeneticsBiologyGenotypeGeneGenetic variantsMechanical engineeringEngineeringGenetic Associations and EpidemiologyBioinformatics and Genomic NetworksAdipokines, Inflammation, and Metabolic Diseases
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