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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2012
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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. |
format | Online Article Text |
id | pubmed-3430541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
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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