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Published on: November 24, 2014
Mendelian randomization studies on atherosclerotic cardiovascular disease: evidence and limitations
Qin Hu1, Panpan Hao2, Qiji Liu3
1The Key Laboratory of Cardiovascular Remodeling and Function Research, Ministry of Education of China, Ministry of Health of China and Chinese Academy of Medical Sciences, and The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Jinan, 250012, China. huqin@sdu.edu.cn.
Insights
Mendelian randomization (MR) clarifies causal links between biomarkers and atherosclerotic cardiovascular diseases (ASCVD). MR findings align well with clinical trials, suggesting its use in screening potential drug targets for ASCVD.
Area of Science:
- Cardiovascular Epidemiology
- Genetic Epidemiology
- Biomarker Discovery
Background:
- Epidemiological studies identify numerous biomarkers linked to atherosclerotic cardiovascular diseases (ASCVD) risk.
- The causal role of these biomarkers in ASCVD etiology is often unclear.
- Mendelian randomization (MR) is a genetic approach to distinguish causal risk factors from disease indicators.
Purpose of the Study:
- To review high-quality MR studies investigating the causal relationship between biomarkers and ASCVD.
- To evaluate the utility of MR in validating biomarkers as potential therapeutic targets for ASCVD.
- To compare MR findings with results from randomized clinical trials (RCTs) for ASCVD treatments.
Main Methods:
- Systematic selection of high-quality MR studies focused on ASCVD.
- Analysis of causal associations between various biomarkers and ASCVD.
- Comparative analysis of MR results against established RCT outcomes for ASCVD therapies.
Main Results:
- MR studies have successfully clarified the causal roles of numerous biomarkers in ASCVD.
- A strong agreement was observed between MR-derived causal inferences and RCT findings.
- MR shows promise as an efficient screening tool for identifying novel therapeutic targets in ASCVD drug development.
Conclusions:
- Mendelian randomization is a valuable tool for establishing causality in ASCVD biomarker research.
- The concordance between MR and RCTs supports MR's role in preclinical drug target validation.
- Careful consideration of MR assumptions and limitations, alongside methodological advancements, is crucial for robust study design and interpretation.
Abstract:
Epidemiological research has revealed a galaxy of biomarkers, such as genes, molecules or traits, which are associated with increased risk of atherosclerotic cardiovascular diseases (ASCVD). However, the etiological basis remains poorly characterized. Mendelian randomization (MR) involves the use of observational genetic data to ascertain the roles of disease-associated risk factors and, in particular, differentiate those reflecting the presence or severity of a disease from those contributing causally to a disease. Over the past decade, MR has evolved into a fruitful approach to clarifying the causal relation of a biomarker with ASCVD and to verifying potential therapeutic targets for ASCVD. In this review, we selected high-quality MR studies on ASCVD, examined the causal relationship of a series of biomarkers with ASCVD, and elucidated the role of MR in validating biomarkers as a therapeutic target by comparing the results from MR studies and randomized clinical trials (RCTs) for the treatment of ASCVD. The good agreement between the results derived by MR and RCTs suggests that MR could be performed as a screening process before novel drug development. However, when designing and interpreting a MR study, the assumptions and limitations inherent in this approach should be taken into account. Novel methodological developments, such as sensitivity analysis, will help to strengthen the validity of MR studies.
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