Computationally Scalable Approaches for Characterizing Genetic Architectures in Diverse Ancestries
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore computationally scalable approaches for characterizing genetic architectures in diverse ancestries in this 35-minute conference talk by Nicholas Mancuso at the Computational Genomics Summer Institute (CGSI) 2023. Delve into cutting-edge research on multi-ancestry fine-mapping techniques that improve precision in identifying causal genes in transcriptome-wide association studies. Learn about a novel approach to variable selection in regression, with applications to genetic fine mapping. Examine methods for estimating heritability explained by local ancestry and evaluating stratification bias in admixture mapping from summary statistics. Gain insights into the latest advancements in computational genomics and their implications for understanding genetic diversity across populations.