Aug 31, 2017

Comparison of single genome and allele frequency data reveals discordant demographic histories

BioRxiv : the Preprint Server for Biology
Annabel C BeichmanKirk E Lohmueller


Inference of demographic history from genetic data is a primary goal of population genetics of model and non-model organisms. Whole genome-based approaches such as the Pairwise/Multiple Sequentially Markovian Coalescent (PSMC/MSMC) methods use genomic data from one to four individuals to infer the demographic history of an entire population, while site frequency spectrum (SFS)-based methods use the distribution of allele frequencies in a sample to reconstruct the same historical events. Although both methods are extensively used in empirical studies and perform well on data simulated under simple models, there have been only limited comparisons of them in more complex and realistic settings. Here we use published demographic models based on data from three human populations (Yoruba (YRI), descendants of northwest-Europeans (CEU), and Han Chinese (CHB)) as an empirical test case to study the behavior of both inference procedures. We find that several of the demographic histories inferred by the whole genome-based methods do not predict the genome-wide distribution of heterozygosity nor do they predict the empirical SFS. However, using simulated data, we also find that the whole genome methods can reconstruct the complex demograp...Continue Reading

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Mentioned in this Paper

Whole Genome Amplification
CEU 22
Empirical Study

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