The bidirectional association between frailty index and cardiovascular disease: A Mendelian randomization study

孟德尔随机化 索引(排版) 联想(心理学) 疾病 医学 随机化 内科学 心理学 遗传学 计算机科学 临床试验 生物 基因型 遗传变异 基因 万维网 心理治疗师
作者
Qingyun Xu,Yiming Jia,Yinan Wang,Pinni Yang,Lulu Sun,Yi Liu,Xinyue Chang,Yu He,Daoxia Guo,Mengyao Shi,Yonghong Zhang,Zhengbao Zhu
出处
期刊:Nutrition Metabolism and Cardiovascular Diseases [Elsevier]
卷期号:34 (3): 624-632 被引量:3
标识
DOI:10.1016/j.numecd.2023.10.018
摘要

Abstract

Background and aim

Observational studies have suggested a relationship between frailty and cardiovascular disease (CVD), but the causality is still uncertain. We used bidirectional Mendelian randomization (MR) design to investigate the potential causal associations between frailty and four main CVDs, including hypertension, myocardial infarction (MI), heart failure (HF), and atrial fibrillation (AF).

Methods and results

Independent single-nucleotide polymorphisms for frailty index (FI) and CVDs (hypertension, MI, HF, and AF) were selected as genetic instruments based on European-descent genome-wide association studies (GWASs). Summary-level data for outcomes on FI (n = 175,226), hypertension (n = 463,010), MI (n = 171,875), HF (n = 977323), and AF (n = 1,030,836) was derived from five large-scale GWASs of European ancestry. We used the inverse-variance weighted (IVW) method to examine the bidirectional associations between FI and CVDs in the main analyses. In the IVW MR analyses, genetically determined high FI was significantly associated with increased risks of hypertension (odds ratio [OR] per 1-SD increase: 1.07 [95 % confidence interval, 1.05–1.08]), MI (OR per 1-SD increase: 1.74 [1.21–2.51]), HF (OR per 1-SD increase: 1.28 [1.10–1.48]), and AF (OR per 1-SD increase: 1.20 [1.08–1.33]). In addition, genetically determined hypertension (beta: 1.406 [1.225–1.587]), MI (beta: 0.045 [0.023–0.067]), HF (beta: 0.105 [0.066–0.143]) and AF (beta: 0.021 [0.012–0.031]) were significantly associated with high FI. These findings were robustly supported by a series of sensitivity analyses with different MR models.

Conclusions

We found potential bidirectional causal associations between elevated FI and increased risks of CVD, suggesting mutual risk factors between frailty and CVD.
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