Can one learn history from the allelic spectrum?
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Publication:615445
DOI10.1016/j.tpb.2008.01.001zbMath1209.92045OpenAlexW1990824786WikidataQ54243568 ScholiaQ54243568MaRDI QIDQ615445
Simon Myers, Nick Patterson, Charles L. Fefferman
Publication date: 5 January 2011
Published in: Theoretical Population Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.tpb.2008.01.001
Problems related to evolution (92D15) Special processes (60K99) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)
Related Items (12)
Non-parametric estimation of population size changes from the site frequency spectrum ⋮ Efficiently Inferring the Demographic History of Many Populations With Allele Count Data ⋮ Exact limits of inference in coalescent models ⋮ Analytical results on the neutral non-equilibrium allele frequency spectrum based on diffusion theory ⋮ Descartes' rule of signs and the identifiability of population demographic models from genomic variation data ⋮ Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes ⋮ Analytical results on the neutral non-equilibrium allele frequency spectrum based on diffusion theory ⋮ On the decidability of population size histories from finite allele frequency spectra ⋮ Can one hear the shape of a population history? ⋮ A sequentially Markov conditional sampling distribution for structured populations with migration and recombination ⋮ Demography-adjusted tests of neutrality based on genome-wide SNP data ⋮ Rates of convergence in the two-island and isolation-with-migration models
Cites Work
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- Reversibility and the age of an allele. I: Moran's infinitely many neutral alleles model
- One cannot hear the shape of a drum
- Moments for sum of an arbitrary function of gene frequency along a stochastic path of gene frequency change.
- On the past history of an allele now known to have frequencyp
- SOLUTION OF A PROCESS OF RANDOM GENETIC DRIFT WITH A CONTINUOUS MODEL
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