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Updated: Sep 11, 2025

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Comprehensive Analysis of Procoagulant Platelets Exhibiting Features of Necrosis, Apoptosis and Platelet Activation
Published on: May 23, 2025
630
Genetically determined platelet traits impact stroke risk through multiple mechanisms and cell types
Medrxiv : the Preprint Server for Health Sciences
|August 13, 2025
Summary
Platelet traits, including count and volume, significantly increase stroke risk. Novel methods identified specific genetic pathways linked to platelet function and endothelial cell adhesion, offering new insights into stroke prevention.
Area of Science:
- Cardiovascular Science
- Genetics
- Hematology
Background:
- Stroke is a major global cause of death and disability.
- Current antiplatelet and anticoagulant therapies have limitations.
- The role of heritable blood and platelet traits in stroke risk is not fully understood.
Purpose of the Study:
- To identify causal blood-related cells and mechanisms influencing stroke risk.
- To determine the specific contribution of platelet traits to stroke pathogenesis.
- To explore genetic underpinnings of platelet traits in stroke.
Main Methods:
- Two-sample Mendelian Randomization (MR) was employed to assess causal relationships.
- Bayesian Model Averaging (MR-BMA) identified key blood traits associated with stroke.
- Noise-augmented directional clustering (NAvMix) analyzed genetic variants for platelet count.
- Pathway and colocalization analyses were performed on identified genetic loci.
Main Results:
- Increased platelet count and mean platelet volume were identified as significant risk factors for stroke.
- Two distinct clusters of platelet count variants strongly predicted increased stroke risk.
- Pathway analysis revealed enrichment for endothelial cell adhesion and platelet reactivity.
- Genes such as RIN3, PEX6, and PEX29 were implicated in stroke risk through platelet traits.
Conclusions:
- Platelet traits are critical determinants of stroke risk, surpassing other blood cell traits.
- Genetic variations influencing platelet count and reactivity play a key role in stroke pathogenesis.
- Novel MR methods combined with subclustering can elucidate complex causal mechanisms in related traits.
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