A Molecular Information Method to Estimate Population Admixture

Bernardo Bertoni, Tatiana Velazquez, Mónica Sans, Ranajit Chakraborty

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Admixture contributions are widely studied in human populations and several methods are available based on allele frequencies or, more recently, on molecular information. We developed the allelic variance method (AVM) based on the molecular information extracted from the microsatellites under the single stepwise mutation model (SSMM). AVM circumvents the allele methods limitation of a lineal model and focus on the θ(4N e μ) parameter properties. Compared to allele frequency methods (AFMs), AVM has more accurate estimations and no systemic bias under different simulated scenarios. When it is applied to human data, the results of the analysis of three populations from Latin America (Argentina, Brazil, and Colombia) indicate a correct inference of a trihybrid model, confirmed by other three different methods. However, the estimates from AVM seem to discriminate better the admixture demographic histories of the Brazilian and Colombian populations.

Original languageEnglish
Title of host publicationHandbook of Statistics
PublisherElsevier B.V.
Pages339-352
Number of pages14
DOIs
StatePublished - 2012

Publication series

NameHandbook of Statistics
Volume28
ISSN (Print)0169-7161

Keywords

  • Admixture
  • Allelic variance method
  • Human migration
  • Microsatellites
  • Molecular information
  • Population structure

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    Bertoni, B., Velazquez, T., Sans, M., & Chakraborty, R. (2012). A Molecular Information Method to Estimate Population Admixture. In Handbook of Statistics (pp. 339-352). (Handbook of Statistics; Vol. 28). Elsevier B.V.. https://doi.org/10.1016/B978-0-44-451875-0.00013-0