Large-Scale Inference of Ancestral Recombination Graphs for Genealogy-Based Association of Complex Traits

Explore a comprehensive lecture on large-scale inference of ancestral recombination graphs and their application in genealogy-based association of complex traits. Delve into cutting-edge research presented by Pier Palamara at the Computational Genomics Summer Institute (CGSI) 2022. Learn about high-throughput inference of pairwise coalescence times, signals of selection, and enriched disease heritability. Discover insights on identity-by-descent detection across large-scale British samples, revealing fine-scale population structure and ultra-rare variant associations. Examine the biobank-scale inference of ancestral recombination graphs and their role in enabling genealogy-based mixed model association of complex traits. Gain valuable knowledge from related research papers, including works published in Nature Genetics and Nature Communications, as well as a bioRxiv preprint.

Pier Palamara | Large-scale inference of ancestral recombination graphs enables genea...| CGSI 2022