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Statistical methods in spatial genetics.
Guillot, Gilles; Leblois, Raphaël; Coulon, Aurélie; Frantz, Alain C.
Affiliation
  • Guillot G; Department of Informatics and Mathematical Modelling, Technical University of Denmark, Copenhagen, Denmark. gigu@imm.dtu.dk
Mol Ecol ; 18(23): 4734-56, 2009 Dec.
Article in En | MEDLINE | ID: mdl-19878454
ABSTRACT
The joint analysis of spatial and genetic data is rapidly becoming the norm in population genetics. More and more studies explicitly describe and quantify the spatial organization of genetic variation and try to relate it to underlying ecological processes. As it has become increasingly difficult to keep abreast with the latest methodological developments, we review the statistical toolbox available to analyse population genetic data in a spatially explicit framework. We mostly focus on statistical concepts but also discuss practical aspects of the analytical methods, highlighting not only the potential of various approaches but also methodological pitfalls.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Genetic Variation / Models, Statistical / Genetics, Population / Models, Genetic Type of study: Risk_factors_studies Language: En Year: 2009 Type: Article

Full text: 1 Database: MEDLINE Main subject: Genetic Variation / Models, Statistical / Genetics, Population / Models, Genetic Type of study: Risk_factors_studies Language: En Year: 2009 Type: Article