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An integrative approach for the identification of quantitative trait loci
Author(s) -
Arbilly M.,
Pisanté A.,
Devor M.,
Darvasi A.
Publication year - 2006
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2006.01472.x
Subject(s) - quantitative trait locus , biology , family based qtl mapping , identification (biology) , computational biology , trait , candidate gene , gene mapping , genetics , inclusive composite interval mapping , gene , genome , expression quantitative trait loci , computer science , single nucleotide polymorphism , genotype , chromosome , botany , programming language
Summary The genetic dissection of complex traits is one of the most difficult and most important challenges facing science today. We discuss here an integrative approach to quantitative trait loci (QTL) mapping in mice. This approach makes use of the wealth of genetic tools available in mice, as well as the recent advances in genome sequence data already available for a number of inbred mouse strains. We have developed mapping strategies that allow a stepwise narrowing of a QTL mapping interval, prioritizing candidate genes for further analysis with the potential of identifying the most probable candidate gene for the given trait. This approach integrates traditional mapping tools, fine mapping tools, sequence‐based analysis, bioinformatics and gene expression.