Recent developments in genetic data analysis: what can they tell us about human demographic history?
Over the last decade, a number of new methods of population genetic analysis based on likelihood have been introduced. This review describes and explains the general statistical techniques that have recently been used, and discusses the underlying population genetic models. Experimental papers that use these methods to infer human demographic and phylogeographic history are reviewed. It appears that the use of likelihood has hitherto had little impact in the field of human population genetics, which is still primarily driven by more traditional approaches. However, with the current uncertainty about the effects of natural selection, population structure and ascertainment of single-nucleotide polymorphism markers, it is suggested that likelihood-based methods may have a greater impact in the future.
Beaumont
M A
MA
School of Animal and Microbial Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ, UK. m.a.Beaumont@reading.ac.uk
D004276:DNA, Satellite; D003710:Demography; D005819:Genetic Markers; D014644:Genetic Variation; D005828:Genetics, Population; D005838:Genotype; D005843:Geography; D006664:History; D006801:Humans; D008390:Markov Chains; D008957:Models, Genetic; D015233:Models, Statistical
D004276:DNA, Satellite; D005819:Genetic Markers