生物信息学分析联合孟德尔随机化分析在急性 心肌梗死中的应用
Application of Bioinformatics Analysis Combined with Mendelian Randomization Analysis in Acute Myocardial Infarction
摘要: 心血管疾病是中国居民死亡的主要原因。为了制定有效和及时地应对心血管疾病流行挑战的策略，我们需要了解当前主要类型心血管疾病的流行病学特征以及这些特征对其预防和治疗的意义。急性心肌梗死更是心血管疾病最重要的临床表现。近些年来新的生物标志物不断被提出，为心肌梗死的诊断以及预后的评估提供了新的依据，国内外近些年来有许多基于生物信息学方法分析心肌梗死相关基因的研究，也报道了许多应用孟德尔随机化方法分析某暴露因素与心血管疾病之间的风险相关系数。在这篇文章中，我们概述了生物信息学的特点及应用，概述了孟德尔随机化分析的定义及应用，以及在心血管相关疾病的研究进展。
Abstract: Cardiovascular diseases are the leading cause of death among China’s residents. To develop effective and timely strategies to address the challenges posed by the prevalence of cardiovascular diseases, we need to understand the epidemiological characteristics of the major types of cardiovascular diseases currently and their significance for prevention and treatment. Acute myocardial infarction (AMI) is the most important clinical manifestation of cardiovascular diseases. In recent years, new biomarkers have been continuously proposed, providing new evidence for the diagnosis of myocardial infarction and the assessment of prognosis. Numerous studies have been conducted domestically and internationally in recent years, analyzing myocardial infarction-related genes using bioinformatics methods, and many have reported the application of Mendelian randomization to analyze the risk association coefficients between certain exposure factors and cardiovascular diseases. In this article, we outline the characteristics and applications of bioinformatics, provide an overview of the definition and application of Mendelian randomization, and summarize the research progress in cardiovascular-related diseases.
文章引用：赵永侠, 单伟超. 生物信息学分析联合孟德尔随机化分析在急性 心肌梗死中的应用[J]. 临床医学进展, 2026, 16(2): 1600-1605. https://doi.org/10.12677/acm.2026.162550

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