ArticleScientific reports2023
A two-sample Mendelian randomization study of circulating lipids and deep venous thrombosis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Causal relations of trace elements and nutrients with insomnia: A Mendelian randomization study.Medicine · 2025Article
- Inflammatory Bowel Disease Mediates the Causal Relationship Between Gut Microbiota and Colorectal Cancer: Identification of Therapeutic Targets and Predictive Modeling.Journal of Cancer · 2025Article
- Bidirectional two-sample Mendelian randomization analysis identifies protein C rather than protein S or antithrombin-III as associated with deep venous thrombosis.Archives of medical science : AMS · 2025Article
- Metabolic landscape in venous thrombosis: insights into molecular biology and therapeutic implications.Annals of medicine · 2024Review
- Intestinal flora and inflammatory bowel disease: Causal relationships and predictive models.Heliyon · 2024Article
- Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism.Haematologica · 2024Article
- The causal effects of intelligence and fluid intelligence on Parkinson's disease: a Mendelian randomization study.Frontiers in aging neuroscience · 2024Article
- Causal association of type 2 diabetes with central retinal artery occlusion: a Mendelian randomization study.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In view of the current debate about the relationship between lipids and deep venous thrombosis (DVT) in clinical studies, a two-sample Mendelian randomization (MR) study was conducted to clarify the effects of five circulating lipids (apolipoprotein A1, apolipoprotein B, low-density lipoprotein, high-density lipoprotein and triglycerides) on DVT from the perspective of genetic inheritance. Five lipids (exposure) were analysed by MR with DVT (outcome) from two different data sources. For the analysis, we used inverse variance weighting and a weighted mode, weighted median, simple mode and MR-Egger regression to analyse the effect of circulating lipids on DVT. In addition, we used the MR-Egger intercept test, Cochran's Q test and "leave-one-out" sensitivity analysis to evaluate horizontal multiplicity, heterogeneity and stability, respectively, in the analysis. In the analysis, the two-sample Mendelian randomization analysis of five common circulating lipids and DVT showed that common circulating lipids had no causal effect on DVT, which is somewhat inconsistent with the findings of many published observational studies. Based on our results, our two-sample MR analysis failed to detect a statistically significant causal relationship between five common circulating lipids and DVT.
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