<ul><li>Causal discovery in multi-omic datasets is important for understanding gene regulatory mechanisms.</li><li>Introducing GENESIS, a constraint-based algorithm that utilizes genotypes to infer relationships in transcriptomic data.</li><li>GENESIS initializes an empty ancestrality matrix and populates it with direct, indirect, or non-causal relationships using independence tests.</li><li>The framework of GENESIS shows potential in uncovering causal pathways in complex traits, benefitting functional genomics, drug discovery, and precision medicine.</li></ul>

Multi-omic Causal Discovery using Genotypes and Gene Expression

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