Venous Thromboembolism Diagnosis and Management

Plasma proteomics enhances genetic risk prediction and biological understanding of venous thromboembolism

This study integrates plasma proteomics with genetic risk scores to improve VTE prediction and identify potential therapeutic targets.

Genomic Evidence Links Inflammation to Residual Pulmonary Vascular Obstruction and Risk of Pulmonary Embolism Recurrence

This study identifies genetic loci associated with residual pulmonary vascular obstruction and links inflammation to its risk, while showing limited role of impaired fibrinolysis.

Impact of ABO blood groups on residual pulmonary vascular obstruction in patients with unprovoked pulmonary embolism

This study investigates the association between ABO blood groups and residual pulmonary vascular obstruction in patients with unprovoked pulmonary embolism but finds no significant link.

Associations of tumour somatic mutations with cancer-associated venous thromboembolism

This study identifies somatic mutations and mutational signatures associated with cancer-associated venous thromboembolism in a large cohort.

Genomic Landscape of Thrombosis Recurrence Risk Across Venous Thromboembolism Subtypes

The paper identifies genetic loci and proteins associated with venous thromboembolism recurrence risk using GWAS and subgroup analyses across different thrombotic subtypes.

Predicting biomarker for the acute pulmonary embolism by using gene ontology and machine learning

The paper uses gene ontology and machine learning to identify a gene expression signature for acute pulmonary embolism, achieving an AUC of 0.89 in distinguishing patients from controls.

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