孟德尔随机化
冲程(发动机)
医学
心房颤动
生物信息学
内科学
体质指数
心脏病学
遗传学
生物
基因型
基因
遗传变异
机械工程
工程类
作者
Lingyan Chen,James E. Peters,Bram Prins,Elodie Persyn,Matthew Traylor,Praveen Surendran,Savita Karthikeyan,Ekaterina Yonova-Doing,Emanuele Di Angelantonio,David 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
标识
DOI:10.1038/s41467-022-33675-1
摘要
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.
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