Literature DB >> 16886996

Genetical genomics in livestock: potentials and pitfalls.

C Haley1, D J de Koning.   

Abstract

Genetical genomics combines gene mapping and gene expression approaches to identify loci controlling gene expression (eQTLs) that may underlie functional trait variation. The combination of genomic tools has great potential to facilitate dissection of complex traits, but studies need careful design and interpretation. Here we explore both the potential and the pitfalls of this approach with illustrations from actual studies. There are now an appreciable number of studies in model species and even humans demonstrating the feasibility of genetical genomics. However, most studies are too limited in size and design to unlock the full potential of the approach. Limited statistical power of studies exacerbates the problem of detection of false-positive eQTL and some reported results should be interpreted with caution. As one approach to more successful implementation of genetical genomics, we propose to combine expression studies with fine mapping of functional trait loci. This synergistic approach facilitates the implementation of genetical genomics for species without inbred resources but is equally applicable to model species. These properties make it particularly suitable for livestock populations where many QTL are already in the public domain and potentially very large pedigreed populations can be accessed.

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Year:  2006        PMID: 16886996     DOI: 10.1111/j.1365-2052.2006.01470.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  7 in total

1.  A genetical genomics approach reveals new candidates and confirms known candidate genes for drip loss in a porcine resource population.

Authors:  Hanna Heidt; Mehmet Ulas Cinar; Muhammad Jasim Uddin; Christian Looft; Heinz Jüngst; Dawit Tesfaye; Astrid Becker; Andreas Zimmer; Siriluck Ponsuksili; Klaus Wimmers; Ernst Tholen; Karl Schellander; Christine Große-Brinkhaus
Journal:  Mamm Genome       Date:  2013-09-12       Impact factor: 2.957

2.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

3.  Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs.

Authors:  Juan Pedro Steibel; Ronald O Bates; Guilherme J M Rosa; Robert J Tempelman; Valencia D Rilington; Ashok Ragavendran; Nancy E Raney; Antonio Marcos Ramos; Fernando F Cardoso; David B Edwards; Catherine W Ernst
Journal:  PLoS One       Date:  2011-02-08       Impact factor: 3.240

4.  Coding Gene SNP Mapping Reveals QTL Linked to Growth and Stress Response in Brook Charr (Salvelinus fontinalis).

Authors:  Christopher Sauvage; Marie Vagner; Nicolas Derôme; Céline Audet; Louis Bernatchez
Journal:  G3 (Bethesda)       Date:  2012-06-01       Impact factor: 3.154

5.  Gene Co-expression Analysis to Characterize Genes Related to Marbling Trait in Hanwoo (Korean) Cattle.

Authors:  Dajeong Lim; Seung-Hwan Lee; Nam-Kuk Kim; Yong-Min Cho; Han-Ha Chai; Hwan-Hoo Seong; Heebal Kim
Journal:  Asian-Australas J Anim Sci       Date:  2013-01       Impact factor: 2.509

Review 6.  Pigs taking wing with transposons and recombinases.

Authors:  Karl J Clark; Daniel F Carlson; Scott C Fahrenkrug
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

7.  Characterization of genes for beef marbling based on applying gene coexpression network.

Authors:  Dajeong Lim; Nam-Kuk Kim; Seung-Hwan Lee; Hye-Sun Park; Yong-Min Cho; Han-Ha Chai; Heebal Kim
Journal:  Int J Genomics       Date:  2014-01-30       Impact factor: 2.326

  7 in total

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