Sep 13, 2017

Comparison of Single Genome and Allele Frequency Data Reveals Discordant Demographic Histories

G3 : Genes - Genomes - Genetics
Annabel C BeichmanKirk E Lohmueller

Abstract

Inference of demographic history from genetic data is a primary goal of population genetics of model and nonmodel organisms. Whole genome-based approaches such as the pairwise/multiple sequentially Markovian coalescent 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, descendants of northwest-Europeans, and Han Chinese) 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 demographic models inferred by SFS-bas...Continue Reading

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References

Mentioned in this Paper

Study
Patterns
Genome
Northwest
Whole Genome Amplification
European Continental Ancestry Group
School Age Population
Genomics
Empirical Study
Genetic Equilibrium

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