title: Exploring population size changes using SNP frequency spectra.
abstract: Inferring demographic history is an important task in population genetics. Many existing inference methods are based on predefined simplified population models, which are more suitable for hypothesis testing than exploratory analysis. We developed a novel model-flexible method called stairway plot, which infers changes in population size over time using SNP frequency spectra. This method is applicable for whole-genome sequences of hundreds of individuals. Using extensive simulation, we demonstrate the usefulness of the method for inferring demographic history, especially recent changes in population size. We apply the method to the whole-genome sequence data of 9 populations from the 1000 Genomes Project and show a pattern of fluctuations in human populations from 10,000 to 200,000 years ago.
authors.affiliation: Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.
authors.forename: Xiaoming
authors.identifier: 0000000182855528
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.
authors.forename: Yun-Xin
authors.initials: YX
authors.lastname: Fu
mesh_terms: D000465:Algorithms; D005787:Gene Frequency; D015894:Genome, Human; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide; D011157:Population Dynamics
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