medRxivGenetic & Genomic MedicinePreprint
Genetically predicted levels of the human plasma proteome and risk of stroke: a Mendelian Randomization study
Lingyan CheniD, James E. PetersiD, Bram Peter PrinsiD, Elodie PersyniD, Matthew TrayloriD, Praveen SurendraniD, Savita KarthikeyaniD, Ekaterina Yonova‐Doing, Emanuele Di AngelantonioiD, David J. RobertsiD, Nicholas A. Watkins, Willem Hendrik OuwehandiD, John DaneshiD, Cathryn M. LewisiD, Paola G. BronsoniD, Hugh Stephen MarkusiD, Stephen BurgessiD, Adam S. ButterworthiD, Joanna M. M. HowsoniD
Abstract
Proteins are the effector molecules of biology and are the target of most drugs. To identify proteins and related pathways that may play a causal role in stroke pathogenesis, we used Mendelian randomisation (MR). We tested potential causal effects of 308 plasma proteins (measured in 4,994 blood donors from the INTERVAL study) on stroke outcomes (derived from the MEGASTROKE GWAS) in a two-sample MR framework and assessed whether these associations could be mediated by cardiovascular risk factors. We extended the analysis to identify whether pharmacological targeting of these proteins might have potential adverse side-effects or beneficial effects for other conditions through Phenome-wide MR (Phe-MR) in UK Biobank. MR showed an association between stroke and genetically predicted plasma levels of TFPI, IL6RA, MMP12, CD40, TMPRSS5 and CD6 (P[≤]1.62x10-4). We identified six risk factors (atrial fibrillation, body mass index, smoking, blood pressure, white matter hyperintensities and type 2 diabetes) that were associated with stroke (P[≤]0.0071) using MR. The association of TFPI, IL6RA and TMPRSS5 with stroke could be mediated by these risk factors, such as body mass index, white matter hyperintensity and atrial fibrillation. Thirty-six additional proteins were potentially causal for one or more of these risk factors. The Phe-MR suggested that targeting TFPI could have potential beneficial effects on other disorders of arteries and hyperlipidaemia in addition to stroke. Our results highlight novel causal pathways and potential therapeutic targets for stroke.
- organism: human
- assay: proteomics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 1
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