ArticleTherapeutic advances in chronic disease2020
Exploring the causal pathway from body mass index to coronary heart disease: a network Mendelian randomization study.
Article in Therapeutic advances in chronic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Mendelian randomization studies on coronary artery disease: a systematic review and meta-analysis.Systematic reviews · 2024Pooled it
- Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies.Journal of the American Heart Association · 2023Pooled it
- Genetic underpinnings of the heterogeneous impact of obesity on lipid levels and cardiovascular disease.Genome medicine · 2025Article
- An optimized instrument variable selection approach to improve causality estimation in association studies.Scientific reports · 2024Article
- Article
- Dose response of running on blood biomarkers of wellness in generally healthy individuals.PloS one · 2023Observational
- Assessing the Causal Role of Sleep Traits on Glycated Hemoglobin: A Mendelian Randomization Study.Diabetes care · 2022Article
- Investigating the effects of statins on ischemic heart disease allowing for effects on body mass index: a Mendelian randomization study.Scientific reports · 2022Article
- Impact of nonrandom selection mechanisms on the causal effect estimation for two-sample Mendelian randomization methods.PLoS genetics · 2022Article
- Study on the Risk Factors for Hyperuricaemia and Related Vascular Complications in Patients with Type 2 Diabetes Mellitus.Risk management and healthcare policy · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe applied a network Mendelian randomization (MR) framework to determine the causal association between body mass index (BMI) and coronary heart disease (CHD) and explored whether glycated hemoglobin (HbA1c) and lipid parameters (total cholesterol, TC; low-density lipoprotein cholesterol, LDL; high-density lipoprotein cholesterol, HDL; triglycerides, TG) serve as causal mediators from BMI to CHD by integrating summary-level genome-wide association study data.
methodsNetwork MR analysis, an approach using genetic variants as the instrumental variables for both the exposure and mediator to infer causality was performed. Summary statistics from the GIANT consortium were used (
resultsThe inverse-variance-weighted-method estimate indicated that the odds ratio (95% confidence interval) for CHD was 1.562 (1.391-1.753) per 1 standard deviation (kg/m
conclusionsHigher BMI conferred an increased risk of CHD, which was partially mediated by HbA1c and lipid parameters. HbA1c and TG might be the main mediators in the link from BMI to CHD.
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