A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure

The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as a species. Reconstructing that history is a challenging computational and statistical problem but has important applications both to basic research and to the discovery of genotype-phenotype correlations. In this study, we present a novel approach to inferring human evolutionary history from genetic variation data. Our approach uses the idea of consensus trees, a technique generally used to reconcile species trees from divergent gene trees, adapting it to the problem of finding the robust relationships within a set of intraspecies phylogenies derived from local regions of the genome. We assess the quality of the method on two large-scale genetic variation data sets: the HapMap Phase II and the Human Genome Diversity Project. Qualitative comparison to a consensus model of the evolution of modern human popula...

• Type: Journal
• Year: 2010
• Where: ISBRA
• Authors: Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell Schwartz
• Keywords: Bioinformatics, Genetic Variation Data, Human Evolutionary History, Human Genome, ISBRA 2010