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Mendelian Randomization Analysis in Observational Epidemiology

Lee K, Lim CY

Mendelian randomization (MR) in epidemiology is the use of genetic variants as instrumental variables (IVs) in non-experimental design to make causality of a modifiable exposure on an outcome or disease....
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Precision Medicine and Cardiovascular Health: Insights from Mendelian Randomization Analyses

Spiller W, Jung KJ, Lee JY, Jee SH

Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related...
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Causal Association between Rheumatoid Arthritis with the Increased Risk of Type 2 Diabetes: A Mendelian Randomization Analysis

Lee YH, Song GG

OBJECTIVE: This study aimed to examine whether rheumatoid arthritis (RA) is causally associated with type 2 diabetes (T2D). METHODS: We performed a two-sample Mendelian randomization (MR) analysis using the inverse-variance weighted...
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The Uric Acid and Gout have No Direct Causality With Osteoarthritis: A Mendelian Randomization Study

Lee YH, Song GG

OBJECTIVE: To examine whether uric acid level or gout is causally associated with the risk of osteoarthritis. METHODS: We performed a two-sample Mendelian randomization (MR) analysis using inverse-variance weighted (IVW), MR-Egger...
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Genetically Mediated Lipid Metabolism and Risk of Insulin Resistance: Insights from Mendelian Randomization Studies

Bu SY

Dysregulated lipid metabolism, characterized by higher levels of circulating triglycerides, higher levels of small, low density lipoprotein, and accumulation of intracellular lipids, is linked to insulin resistance and related complications...
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Alcohol Consumption, Aldehyde Dehydrogenase 2 Gene Polymorphisms, and Cardiovascular Health in Korea

Shin MJ, Cho Y, Davey Smith G

Alcohol consumption is a serious health issue in Korea in terms of the amount consumed and the behavior related to its consumption. Aldehyde dehydrogenase 2 (ALDH2) is a key enzyme...
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