Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Genealogical inference from microsatellite data

I J Wilson1, D J Balding

  • 1School of Biological Sciences, Queen Mary and Westfield College, University of London, London E1 4NS, England.

Genetics
|September 2, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluating DNA evidence in a genetically complex population.

Forensic science international. Genetics·2018
Same author

Kinetics of Plasma Cell-Free DNA and Creatine Kinase in a Canine Model of Tissue Injury.

Journal of veterinary internal medicine·2017
Same author

Complement polymorphisms: geographical distribution and relevance to disease.

Immunobiology·2011
Same author

Grazing incidence grating efficiencies.

Applied optics·2010
Same author

Groove depth determination using a laser for sinusoidal groove gratings.

Applied optics·2010
Same author

Heritability and genetic correlations of insulin resistance and component phenotypes in Asian Indian families using a multivariate analysis.

Diabetologia·2009
Same journal

Adaptive Dynamics of Quantitative Traits in a Steadily Changing Environment.

Genetics·2026
Same journal

Functional Landscape of Zebrafish Gonadotropins and Receptors: A Comprehensive Genetic Analysis.

Genetics·2026
Same journal

Synergistic actions of Nup43 and Myosin VI drive actin cone assembly during Drosophila spermiogenesis.

Genetics·2026
Same journal

Identification of two Cryptococcus neoformans heme transporters involved in Fhb1-mediated nitrosative stress protection in a fission yeast model.

Genetics·2026
Same journal

Analysis of a hypomorphic mei-P26 mutation reveals coordination between developmental programming of germ cells and meiotic chromosome dynamics.

Genetics·2026
Same journal

Neural and Genetic Mechanisms Regulating Copulation Latency in Male Drosophila melanogaster.

Genetics·2026
See all related articles

Microsatellite (short tandem repeat) data offers insights into population history and evolution but is hard to interpret. New Markov chain Monte Carlo methods simplify analysis, revealing that linked microsatellites are more informative than single ones for evolutionary studies.

Area of Science:

  • Genetics
  • Population Genetics
  • Evolutionary Biology

Background:

  • Microsatellite loci (short tandem repeats) are valuable genetic markers due to high polymorphism and genomic distribution.
  • Interpreting microsatellite data is challenging due to factors like back-mutations.
  • Previous stochastic models were too complex for direct analysis of microsatellite data.

Purpose of the Study:

  • To develop and apply a novel Markov chain Monte Carlo (MCMC) algorithm for direct inference from microsatellite data.
  • To simplify likelihood computations by treating ancestral allelic states as auxiliary parameters.
  • To assess the informativeness of single and linked microsatellites for population and evolutionary studies.

Main Methods:

  • Development of a Markov chain Monte Carlo (MCMC) algorithm.

Related Experiment Videos

  • Simplification of likelihood calculations by incorporating ancestral allelic states as parameters.
  • Simulation of microsatellite data under the proposed model for algorithm testing.
  • Reanalysis of existing human Y chromosome microsatellite data.

    • Main Results:

    • A single microsatellite locus generally lacks sufficient information for robust inferences.
    • Multiple, completely linked microsatellites provide valuable insights into genealogical history and evolutionary processes.
    • Analysis of human Y chromosome data suggests a low effective population size and a recent common ancestor.

    Conclusions:

    • The proposed MCMC algorithm enhances the interpretability of microsatellite data.
    • Linked microsatellite markers are more powerful than single markers for evolutionary inference.
    • The study provides estimates for human Y chromosome effective population size and time to the most recent common ancestor.