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Explore the complex relationship between genotype and phenotype in this 40-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2022. Delve into David Knowles' research on determining molecular intermediates, drawing insights from related papers on pooled ChIP-Seq, Welch-weighted Egger regression, and phenome-scale causal network discovery. Gain a deeper understanding of how variations in transcription factor binding link to complex disease risk, methods to reduce false positives in Mendelian randomization, and novel approaches to causal network discovery using bidirectional mediated Mendelian randomization. Uncover the latest advancements in computational genomics and their implications for understanding the intricate pathways from genetic makeup to observable traits.