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Updated: Jul 14, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Brief communication: the Thule migration: rejecting population histories using computer simulation
E E Marchani1, A R Rogers, D H O'Rourke
1Department of Anthropology, University of Utah, Salt Lake City, UT 84112, USA. liz.marchani@anthro.utah.edu
Abstract:
Locked within our genetic code are the histories of our genes and the genes of our ancestors. Deciphering a population's history from genetic data often involves lengthy investigations of many loci for many individuals. We test hypothetical population histories of the Thule expansion using a new coalescent simulation method that uses little more than mitochondrial haplogroup data. This new methodology rejects a severe bottleneck at expansion and reveals the range of probable population histories on which to focus future research.
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