Mapping quantitative trait loci onto a phylogenetic tree

Karl W. Broman, Sungjin Kim, Saunak Sen, Cécile Ané, Bret A. Payseur

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)267-279
Number of pages13
JournalGenetics
Volume192
Issue number1
DOIs
StatePublished - Sep 1 2012

Fingerprint

Quantitative Trait Loci
Genetic Loci
Computer Simulation
HDL Cholesterol
Research Design
Joints
Alleles

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Broman, K. W., Kim, S., Sen, S., Ané, C., & Payseur, B. A. (2012). Mapping quantitative trait loci onto a phylogenetic tree. Genetics, 192(1), 267-279. https://doi.org/10.1534/genetics.112.142448

Mapping quantitative trait loci onto a phylogenetic tree. / Broman, Karl W.; Kim, Sungjin; Sen, Saunak; Ané, Cécile; Payseur, Bret A.

In: Genetics, Vol. 192, No. 1, 01.09.2012, p. 267-279.

Research output: Contribution to journalArticle

Broman, KW, Kim, S, Sen, S, Ané, C & Payseur, BA 2012, 'Mapping quantitative trait loci onto a phylogenetic tree', Genetics, vol. 192, no. 1, pp. 267-279. https://doi.org/10.1534/genetics.112.142448
Broman, Karl W. ; Kim, Sungjin ; Sen, Saunak ; Ané, Cécile ; Payseur, Bret A. / Mapping quantitative trait loci onto a phylogenetic tree. In: Genetics. 2012 ; Vol. 192, No. 1. pp. 267-279.
@article{cc013ef4d3ff4d27a7defa9ede720c15,
title = "Mapping quantitative trait loci onto a phylogenetic tree",
abstract = "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.",
author = "Broman, {Karl W.} and Sungjin Kim and Saunak Sen and C{\'e}cile An{\'e} and Payseur, {Bret A.}",
year = "2012",
month = "9",
day = "1",
doi = "10.1534/genetics.112.142448",
language = "English (US)",
volume = "192",
pages = "267--279",
journal = "Genetics",
issn = "0016-6731",
publisher = "Genetics Society of America",
number = "1",

}

TY - JOUR

T1 - Mapping quantitative trait loci onto a phylogenetic tree

AU - Broman, Karl W.

AU - Kim, Sungjin

AU - Sen, Saunak

AU - Ané, Cécile

AU - Payseur, Bret A.

PY - 2012/9/1

Y1 - 2012/9/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84866098866&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866098866&partnerID=8YFLogxK

U2 - 10.1534/genetics.112.142448

DO - 10.1534/genetics.112.142448

M3 - Article

C2 - 22745229

AN - SCOPUS:84866098866

VL - 192

SP - 267

EP - 279

JO - Genetics

JF - Genetics

SN - 0016-6731

IS - 1

ER -