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Mapping Quantitative Trait Loci onto a Phylogenetic Tree
Author(s) -
Karl W. Broman,
SungJin Kim,
Śaunak Sen,
Cécile Ané,
Bret A. Payseur
Publication year - 2012
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.112.142448
Subject(s) - quantitative trait locus , biology , phylogenetic tree , family based qtl mapping , trait , tree (set theory) , inclusive composite interval mapping , genetics , allele , evolutionary biology , genetic architecture , pedigree chart , gene mapping , computational biology , gene , chromosome , computer science , mathematical analysis , mathematics , programming language
Despite advances in genetic mapping of quantitative traits and in phylogenetic comparative approaches, these two perspectives are rarely combined. The joint consideration of multiple crosses among related taxa (whether species or strains) not only allows more precise mapping of the genetic loci (called quantitative trait loci, QTL) that contribute to important quantitative traits, but also offers the opportunity to identify the origin of a QTL allele on the phylogenetic tree that relates the taxa. We describe a formal method for combining multiple crosses to infer the location of a QTL on a tree. We further discuss experimental design issues for such endeavors, such as how many crosses are required and which sets of crosses are best. Finally, we explore the method's performance in computer simulations, and we illustrate its use through application to a set of four mouse intercrosses among five inbred strains, with data on HDL cholesterol.

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