Body Mass Index and Hypertension as Mediators of the Association Between Age at Menarche and Subclinical Atherosclerosis: A Sex‐Specific Mendelian Randomization Analysis

Author:

Meena Devendra1,Huang Jian123ORCID,Dib Marie‐Joe4ORCID,Chirinos Julio4ORCID,Jia Manyi5ORCID,Chauhan Ganesh6ORCID,Gill Dipender17ORCID,Elliott Paul1789ORCID,Dehghan Abbas18ORCID,Tzoulaki Ioanna1710ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, School of Public Health Imperial College London London United Kingdom

2. Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR) Singapore

3. Bioinformatics Institute (BII) Agency for Science, Technology and Research (A*STAR) Singapore Singapore

4. Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA USA

5. Department of Metabolism Digestion and Reproduction, Section of Computational and Systems Medicine Imperial College London London United Kingdom

6. Department of Genetics & Genomics Rajendra Institute of Medical Sciences (RIMS) Ranchi India

7. British Heart Foundation Centre of Excellence, Imperial College London London United Kingdom

8. Dementia Research Institute, Imperial College London London United Kingdom

9. MRC Centre for Environment and Health, School of Public Health, Imperial College London London United Kingdom

10. Systems Biology, Biomedical Research Foundation Academy of Athens Athens Greece

Abstract

Background Early age at menarche (AAM) has been associated with a higher risk of carotid artery intima‐media thickness (cIMT), an indicator of subclinical vascular disease, albeit the mechanisms underlying this association remain elusive. A better understanding of the relationship between AAM, modifiable cardiometabolic risk factors, and subclinical atherosclerosis may contribute to improved primary prevention and cardiovascular disease treatment. We aimed to investigate the putative causal role of AAM on cIMT, and to identify and quantify the potentially mediatory effects of cardiometabolic risk factors underlying this relationship. Methods and Results We conducted linkage disequilibrium score regression analyses between our exposure of interest, AAM, our outcome of interest, cIMT and potential mediators of the AAM‐cIMT association to gauge cross‐trait genetic overlap. We considered as mediators the modifiable anthropometric risk factors body mass index (BMI), systolic blood pressure (SBP), lipid traits (total cholesterol, triglycerides, high‐density lipoprotein cholesterol, and low‐density lipoprotein cholesterol), and glycemic traits (fasting glucose). We then leveraged the paradigm of Mendelian randomization to infer causality between AAM and cIMT, and to identify whether cardiometabolic risk factors served as potential mediators of this effect. Our analyses showed that genetically predicted AAM was inversely associated with cIMT, BMI, SBP, and triglycerides, and positively associated with high‐density lipoprotein, low‐density lipoprotein, and total cholesterol. We showed that the effect of genetically predicted AAM on cIMT may be partially mediated through BMI (20.1% [95% CI, 1.4% to 38.9%]) and SBP (13.5% [95% CI, 0.5%–26.6%]). Our cluster‐specific Mendelian randomization revealed heterogeneous causal effect estimates of age at menarche on BMI and SBP. Conclusions We highlight supporting evidence for a potential causal association between earlier AAM and cIMT, and almost one third of the effect of AAM on cIMT may be mediated by BMI and SBP. Early intervention aimed at lowering BMI and hypertension may be beneficial in reducing the risk of developing subclinical atherosclerosis due to earlier age at menarche.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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