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Mapping Quantitative Trait Loci onto a Phylogenetic Tree

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 (cal...

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Autores principales: Broman, Karl W., Kim, Sungjin, Sen, Śaunak, Ané, Cécile, Payseur, Bret A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430541/
https://www.ncbi.nlm.nih.gov/pubmed/22745229
http://dx.doi.org/10.1534/genetics.112.142448
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author Broman, Karl W.
Kim, Sungjin
Sen, Śaunak
Ané, Cécile
Payseur, Bret A.
author_facet Broman, Karl W.
Kim, Sungjin
Sen, Śaunak
Ané, Cécile
Payseur, Bret A.
author_sort Broman, Karl W.
collection PubMed
description 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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spelling pubmed-34305412012-09-08 Mapping Quantitative Trait Loci onto a Phylogenetic Tree Broman, Karl W. Kim, Sungjin Sen, Śaunak Ané, Cécile Payseur, Bret A. Genetics Investigations 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. Genetics Society of America 2012-09 /pmc/articles/PMC3430541/ /pubmed/22745229 http://dx.doi.org/10.1534/genetics.112.142448 Text en Copyright © 2012 by the Genetics Society of America Available freely online through the author-supported open access option.
spellingShingle Investigations
Broman, Karl W.
Kim, Sungjin
Sen, Śaunak
Ané, Cécile
Payseur, Bret A.
Mapping Quantitative Trait Loci onto a Phylogenetic Tree
title Mapping Quantitative Trait Loci onto a Phylogenetic Tree
title_full Mapping Quantitative Trait Loci onto a Phylogenetic Tree
title_fullStr Mapping Quantitative Trait Loci onto a Phylogenetic Tree
title_full_unstemmed Mapping Quantitative Trait Loci onto a Phylogenetic Tree
title_short Mapping Quantitative Trait Loci onto a Phylogenetic Tree
title_sort mapping quantitative trait loci onto a phylogenetic tree
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430541/
https://www.ncbi.nlm.nih.gov/pubmed/22745229
http://dx.doi.org/10.1534/genetics.112.142448
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