Application of mendelian randomization in ocular diseases: a review

Xiran Zhang1, Weichen Yuan2,3, Jun Xu4

  • 1China Medical University, Shenyang, China.

Human Genomics
|June 17, 2024
PubMed

Insights

Mendelian Randomization (MR) aids in understanding ocular disease causes by overcoming limitations of observational studies. This genetic epidemiology approach helps identify disease mechanisms and inform intervention strategies for better eye health.

Area of Science:

  • Ophthalmology
  • Genetic Epidemiology
  • Public Health

Background:

  • Ocular disorders significantly impact patient quality of life and incur substantial economic costs.
  • The prevalence and underlying mechanisms of many eye diseases remain poorly understood, hindering effective prevention and treatment.
  • Observational studies face challenges with confounding variables and reverse causation when linking exposure factors to disease.

Purpose of the Study:

  • To review the application of Mendelian Randomization (MR) in studying the etiology of ophthalmic diseases.
  • To explore how MR can elucidate disease mechanisms.
  • To discuss potential intervention strategies informed by MR findings.

Main Methods:

  • Utilized Mendelian Randomization (MR), a genetic epidemiology technique.
  • Leveraged genetic variants as instrumental variables to infer causal relationships.
  • Reviewed existing literature on MR applications in ocular disease research.

Main Results:

  • MR effectively addresses confounding and reverse causation issues inherent in observational studies.
  • The method has been extensively applied to investigate the etiological factors of various ophthalmic diseases.
  • MR facilitates a deeper understanding of disease pathogenesis.

Conclusions:

  • Mendelian Randomization is a powerful tool for etiological research in ophthalmology.
  • MR findings can guide the development of targeted prevention and therapeutic strategies for eye diseases.
  • Further application of MR is crucial for advancing eye care and reducing disease burden.