An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism

An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism

Abstract Venous thromboembolism is the third common cardiovascular disease and is composed of two entities, deep vein thrombosis (DVT) and its potential fatal form, pulmonary embolism (PE). While PE is observed in ~ 40% of patients with documented DVT, there is limited biomarkers that can help ident...

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Autores principales: Misbah Razzaq, Maria Jesus Iglesias, Manal Ibrahim-Kosta, Louisa Goumidi, Omar Soukarieh, Carole Proust, Maguelonne Roux, Pierre Suchon, Anne Boland, Delphine Daiain, Robert Olaso, Sebastian Havervall, Charlotte Thalin, Lynn Butler, Jean-François Deleuze, Jacob Odeberg, Pierre-Emmanuel Morange, David-Alexandre Trégouët
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Medicine
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Science
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Acceso en línea:https://doaj.org/article/74d0ce5beba343ef8ad57e5adf7555bd
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https://doaj.org/article/74d0ce5beba343ef8ad57e5adf7555bd

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