Literature DB >> 15462413

Simultaneous mapping of epistatic QTL in chickens reveals clusters of QTL pairs with similar genetic effects on growth.

Orjan Carlborg1, Paul M Hocking, Dave W Burt, Chris S Haley.   

Abstract

We used simultaneous mapping of interacting quantitative trait locus (QTL) pairs to study various growth traits in a chicken F2 intercross. The method was shown to increase the number of detected QTLs by 30 % compared with a traditional method detecting QTLs by their marginal genetic effects. Epistasis was shown to be an important contributor to the genetic variance of growth, with the largest impact on early growth (before 6 weeks of age). There is also evidence for a discrete set of interacting loci involved in early growth, supporting the previous findings of different genetic regulation of early and late growth in chicken. The genotype-phenotype relationship was evaluated for all interacting QTL pairs and 17 of the 21 evaluated QTL pairs could be assigned to one of four clusters in which the pairs in a cluster have very similar genetic effects on growth. The genetic effects of the pairs indicate commonly occurring dominance-by-dominance, heterosis and multiplicative interactions. The results from this study clearly illustrate the increase in power obtained by using this novel method for simultaneous detection of epistatic QTL, and also how visualization of genotype-phenotype relationships for epistatic QTL pairs provides new insights to biological mechanisms underlying complex traits.

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Year:  2004        PMID: 15462413     DOI: 10.1017/s0016672304006779

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  32 in total

1.  Simultaneous mapping of epistatic QTL in DU6i x DBA/2 mice.

Authors:  Orjan Carlborg; Gudrun A Brockmann; Chris S Haley
Journal:  Mamm Genome       Date:  2005-07       Impact factor: 2.957

Review 2.  Advanced technologies for genomic analysis in farm animals and its application for QTL mapping.

Authors:  Xiaoxiang Hu; Yu Gao; Chungang Feng; Qiuyue Liu; Xiaobo Wang; Zhuo Du; Qingsong Wang; Ning Li
Journal:  Genetica       Date:  2008-12-18       Impact factor: 1.082

3.  A longitudinal quantitative trait locus mapping of chicken growth traits.

Authors:  Tatsuhiko Goto; Akira Ishikawa; Masahide Nishibori; Masaoki Tsudzuki
Journal:  Mol Genet Genomics       Date:  2018-10-12       Impact factor: 3.291

4.  Genome-wide association scan allowing for epistasis in type 2 diabetes.

Authors:  Jordana T Bell; Nicholas J Timpson; N William Rayner; Eleftheria Zeggini; Timothy M Frayling; Andrew T Hattersley; Andrew P Morris; Mark I McCarthy
Journal:  Ann Hum Genet       Date:  2010-12-06       Impact factor: 1.670

5.  The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16.

Authors:  Ping An; Odity Mukherjee; Pritam Chanda; Li Yao; Corinne D Engelman; Chien-Hsun Huang; Tian Zheng; Ilija P Kovac; Marie-Pierre Dubé; Xueying Liang; Jia Li; Mariza de Andrade; Robert Culverhouse; Doerthe Malzahn; Alisa K Manning; Geraldine M Clarke; Jeesun Jung; Michael A Province
Journal:  Genet Epidemiol       Date:  2009       Impact factor: 2.135

6.  Mapping quantitative trait loci affecting susceptibility to Marek's disease virus in a backcross population of layer chickens.

Authors:  E M Heifetz; J E Fulton; N P O'Sullivan; J A Arthur; J Wang; J C M Dekkers; M Soller
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

7.  Genetic architecture of tameness in a rat model of animal domestication.

Authors:  Frank W Albert; Orjan Carlborg; Irina Plyusnina; Francois Besnier; Daniela Hedwig; Susann Lautenschläger; Doreen Lorenz; Jenny McIntosh; Christof Neumann; Henning Richter; Claudia Zeising; Rimma Kozhemyakina; Olesya Shchepina; Jürgen Kratzsch; Lyudmila Trut; Daniel Teupser; Joachim Thiery; Torsten Schöneberg; Leif Andersson; Svante Pääbo
Journal:  Genetics       Date:  2009-04-10       Impact factor: 4.562

Review 8.  From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding.

Authors:  Haja N Kadarmideen; Peter von Rohr; Luc L G Janss
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

9.  Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers.

Authors:  Guosheng Su; Ole F Christensen; Tage Ostersen; Mark Henryon; Mogens S Lund
Journal:  PLoS One       Date:  2012-09-13       Impact factor: 3.240

10.  A bi-dimensional genome scan for prolificacy traits in pigs shows the existence of multiple epistatic QTL.

Authors:  José L Noguera; Carmen Rodríguez; Luis Varona; Anna Tomàs; Gloria Muñoz; Oscar Ramírez; Carmen Barragán; Meritxell Arqué; Jean P Bidanel; Marcel Amills; Cristina Ovilo; Armand Sánchez
Journal:  BMC Genomics       Date:  2009-12-29       Impact factor: 3.969

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