ArticleHaematologica2024
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism.
Article in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 5 citations in OpenAlex.
- Development, internal testing, and external validation of an interpretable machine-learning model for predicting imaging-confirmed in-hospital postoperative deep vein thrombosis in older patients with patellar fractures.BMC medical informatics and decision making · 2026Article
- Cardiometabolic multimorbidity and short-term outcomes in pulmonary embolism: Findings from the CURES Registry-2.American journal of preventive cardiology · 2026Article
- Integrated multi-omics and machine learning identify an interaction between SLC39A11 and phosphoinositide metabolism in deep vein thrombosis.BMC medical informatics and decision making · 2026Article
- Mendelian randomization identifies causal effects of phospholipids on portal vein thrombosis risk: FADS1/2-mediated pathways and their potential as diagnostic biomarkers.Nutrition & metabolism · 2026Article
- Causal associations between diet and thromboembolism: A 2-sample Mendelian randomization study.Medicine · 2025Article
- Integrating 7-day D-dimer exposure into deep vein thrombosis risk prediction after gastrointestinal surgery.Scientific reports · 2025Article
- Complex interplay between type 2 diabetes mellitus and pancreatic cancer: insights from observational and mendelian randomization analyses.BMC cancer · 2025Observational
- Potential causal relationships between blood metabolites, inflammatory cytokines, and venous thromboembolism.Frontiers in immunology · 2024Article
- Hormonal and laboratory predictors of patent foramen ovale in cryptogenic ischemic events: a SHAP-enhanced logistic regression approach.Frontiers in neurologyArticle
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Authors and funding
11 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Venous thromboembolism (VTE) is a complex disease that can be classified into two subtypes: deep vein thrombosis (DVT) and pulmonary embolism (PE). Previous observational studies have shown associations between lipids and VTE, but causality remains unclear. Hence, by utilizing 241 lipid-related traits as exposures and data from the FinnGen consortium on VTE, DVT, and PE as outcomes, we conducted two-sample Mendelian randomization (MR) analysis to investigate causal relationships between lipids and VTE, DVT and PE. The MR results identified that fatty acid (FA) unsaturation traits (ratio of bis-allylic bonds to double bonds in lipids, and ratio of bis-allylic bonds to total fatty acids in lipids) were associated with VTE (odds ratio [OR]=1.21, 95% confidence interval [CI]: 1.15-1.27; OR=1.21, 95% CI: 1.13-1.30), DVT (OR=1.24, 95% CI: 1.16-1.33; OR= 1.26, 95% CI: 1.16-1.36) and PE (OR=1.18, 95% CI: 1.08-1.29; OR=1.18, 95% CI: 1.09-1.27). Phosphatidylcholines (PC) exhibit potential causal effects on VTE and PE. PC acyl-alkyl C40:4 (PC ae C40:4) was negatively associated with VTE (OR=0.79, 95% CI: 0.73-0.86), while PC diacyl C42:6 (PC aa C42:6) and PC acyl-alkyl C36:4 (PC ae C36:4) were positively associated with PE (OR=1.44, 95% CI: 1.20-1.72; OR=1.22, 95% CI: 1.10-1.35). Additionally, we found that medium LDL had a protective effect on VTE. Our study indicates that higher FA unsaturation may increase the risk of VTE, DVT, and PE. Different types of PC have either promotive or inhibitory effects on VTE and PE, contributing to a better understanding of the risk factors for VTE.
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