ArticleDiabetologia2024
Genetic relations between type 1 diabetes, coronary artery disease and leukocyte counts.
Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The shared genetic architecture underlying the autoimmune and cardiovascular disease: a multivariate genome-wide analysis.Cardiovascular diabetology · 2026Article
- Correlation between the neutrophil-to-lymphocyte ratio with the severity of new-onset coronary artery disease in various glucose metabolic states: a retrospective study.BMC cardiovascular disorders · 2025Article
- Association of the Monocyte to High-Density Lipoprotein Cholesterol Ratio and Neutrophil to High-Density Lipoprotein Cholesterol Ratio With the Severity of New-Onset Coronary Artery Disease.Journal of inflammation research · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
aims/hypothesisType 1 diabetes is associated with excess coronary artery disease (CAD) risk even when known cardiovascular risk factors are accounted for. Genetic perturbation of haematopoiesis that alters leukocyte production is a novel independent modifier of CAD risk. We examined whether there are shared genetic determinants and causal relationships between type 1 diabetes, CAD and leukocyte counts.
methodsGenome-wide association study summary statistics were used to perform pairwise linkage disequilibrium score regression and heritability estimation from summary statistics (ρ-HESS) to respectively estimate the genome-wide and local genetic correlations, and two-sample Mendelian randomisation to estimate the causal relationships between leukocyte counts (335,855 healthy individuals), type 1 diabetes (18,942 cases, 501,638 control individuals) and CAD (122,733 cases, 424,528 control individuals). A latent causal variable (LCV) model was performed to estimate the genetic causality proportion of the genetic correlation between type 1 diabetes and CAD.
resultsThere was significant genome-wide genetic correlation (r CONCLUSIONS/
interpretationThis study sheds light on shared genetic mechanisms underlying type 1 diabetes and CAD, which may contribute to their co-occurrence through regulation of gene expression and leukocyte counts and identifies cellular and molecular targets for further investigation for disease prediction and potential drug discovery.
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