Methods for Detecting Identity-by-Descent Segments

Explore computational methods for identifying identity-by-descent (IBD) segments in genomic data through this 33-minute conference talk from the Computational Genomics Summer Institute. Learn about the fundamental concepts of IBD detection and examine various algorithmic approaches used to identify shared genomic segments between individuals that have been inherited from common ancestors. Discover how these methods have evolved from early detection techniques to more sophisticated probabilistic approaches, including the use of positional Burrows-Wheeler transforms for efficient haplotype matching and storage. Understand the applications of IBD detection in population genetics, including whole population genome-wide mapping of hidden relatedness, long-range phasing, and haplotype imputation. Gain insights into recent advances in probabilistic estimation of IBD segment endpoints and their role in detecting recent selection events in human populations. The presentation covers key methodological developments supported by seminal research papers spanning from 2008 to 2020, providing a comprehensive overview of the field's progression and current state-of-the-art techniques.