New Mendelian Randomization Method Improves Genetic Causal Inference

A novel statistical method for Mendelian randomization has been introduced, enabling the joint analysis of correlated outcomes. This advancement provides a more robust framework for estimating causal effects in genetic studies, particularly beneficial for multi-omics research where interconnected molecular changes and traits are common.