ArticleScientific reports2024
Genetic correlations and causal relationships between cardio-metabolic traits and sepsis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Physical Activity Behavior and Acute Myocardial Infarction, Stroke, and Sepsis Outcomes in Brazil: Insights from Targeted Eigenvector Centrality Networks.International journal of environmental research and public health · 2026Article
- Association Between Gliflozins Use and Outcomes in Adults with Sepsis: A Multicenter Retrospective Cohort Study Among Veterans.Annals of intensive care · 2026Article
- Disease trajectory and mortality among sepsis patients: a prospective cohort study.BMC infectious diseases · 2025Article
- Genetic correlation analysis between sepsis and hematological traits: Identifying shared genomic regions.PloS one · 2025Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardio-metabolic traits have been reported to be associated with the development of sepsis. It is, however, unclear whether these co-morbidities reflect causal associations, shared genetic heritability, or are confounded by environmental factors. We performed three analyses to explore the relationships between cardio-metabolic traits and sepsis. Mendelian randomization (MR) study to evaluate the causal effects of multiple cardio-metabolic traits on sepsis. Global genetic correlation analysis to explore the correlations between cardio-metabolic traits and sepsis. Local genetic correlation (GC) analysis to explore shared genetic heritability between cardio-metabolic traits and sepsis. Some loci were further examined for related genes responsible for the causal relationships. Genetic associations were obtained from the UK Biobank data or published large-scale genome-wide association studies with sample sizes between 200,000 to 750,000. In MR, we found causality between BMI and sepsis (OR: 1.53 [1.4-1.67]; p < 0.001). Body mass index (BMI), which is confirmed by sensitivity analyses and multivariable MR adjusting for confounding factors. Global GC analysis showed a significant correlation between BMI and sepsis (r
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Registered trials
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