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- | Mendelian | + | ====== |
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+ | **Mendelian Randomization (MR)** | ||
+ | |||
+ | ===== 🧬 Definition ===== | ||
+ | Mendelian Randomization is an analytical approach that leverages | ||
+ | |||
+ | ===== 🧪 Key Concepts ===== | ||
+ | * **Instrumental Variables**: | ||
+ | * **Causal Inference**: | ||
+ | * **Three Assumptions**: | ||
+ | - The genetic variant is associated with the exposure. | ||
+ | - The genetic variant is not associated with confounders. | ||
+ | - The genetic variant affects the outcome only through the exposure (no pleiotropy). | ||
+ | |||
+ | ===== 📊 Applications ===== | ||
+ | * Determining if elevated LDL cholesterol causally increases cardiovascular | ||
+ | * Exploring whether inflammation-related genes are causally linked to intracerebral hemorrhage (ICH). | ||
+ | * Investigating the effect of lifestyle factors (e.g., alcohol use, BMI) on various diseases. | ||
+ | |||
+ | ===== ⚠️ Limitations ===== | ||
+ | * Horizontal pleiotropy can violate assumptions. | ||
+ | * Weak instruments may lead to biased estimates. | ||
+ | * Population stratification can introduce confounding if not controlled. | ||
+ | |||
+ | ===== 📚 Example ===== | ||
+ | In a study of neuroinflammation and ICH, MR can test if genetic variants that increase inflammatory markers (e.g., IL-6) also increase the risk of intracerebral hemorrhage—suggesting a causal role of inflammation |