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Related Experiment Videos

Theory and practice in quantitative genetics.

Daniëlle Posthuma1, A Leo Beem, Eco J C de Geus

  • 1Department of Biological Psychology, Vrije Universiteit Amsterdam, The Netherlands. danielle@psy.vu.nl

Twin Research : the Official Journal of the International Society for Twin Studies
|November 20, 2003
PubMed
Summary
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Quantitative geneticists can now identify quantitative trait loci thanks to advances in molecular biology and statistical genetics. This paper details the biometrical foundations and statistical models for analyzing genetic variation in complex traits.

Area of Science:

  • Quantitative genetics
  • Biometrical genetics
  • Statistical genetics

Background:

  • Rapid advances in molecular biology and genomics.
  • Near completion of the human genome project.
  • Increased computational power enabling complex analyses.

Purpose of the Study:

  • To describe the theoretical biometrical foundations of quantitative genetics.
  • To present mathematical equations for assessing genetic variation.
  • To detail statistical models for quantitative genetic analyses.

Main Methods:

  • Biometrical foundations translated into mathematical equations.
  • Assessment of observed and unobserved genetic variation.
  • Description of statistical models: twin, multivariate, longitudinal, extended twin, linkage, and association analyses.

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Main Results:

  • Algebraic equations derived from theoretical models.
  • Scripts generated for statistical genetic software (Mx, Lisrel, SOLAR, MERLIN).
  • Development of a web-library for freely available analysis scripts.

Conclusions:

  • Identification of quantitative trait loci is now a realistic prospect.
  • The paper provides a framework for translating theory into practical genetic analysis.
  • Accessible scripts facilitate the application of described methods.