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.

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