Literature DB >> 15125065

A comparison between methods for linkage disequilibrium fine mapping of quantitative trait loci.

Jihad M Abdallah1, Brigitte Mangin, Bruno Goffinet, Christine Cierco-Ayrolles, Miguel Pérez-Enciso.   

Abstract

We present a maximum likelihood method for mapping quantitative trait loci that uses linkage disequilibrium information from single and multiple markers. We made paired comparisons between analyses using a single marker, two markers and six markers. We also compared the method to single marker regression analysis under several scenarios using simulated data. In general, our method outperformed regression (smaller mean square error and confidence intervals of location estimate) for quantitative trait loci with dominance effects. In addition, the method provides estimates of the frequency and additive and dominance effects of the quantitative trait locus.

Mesh:

Year:  2004        PMID: 15125065     DOI: 10.1017/s0016672303006554

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


  4 in total

1.  Optimal haplotype structure for linkage disequilibrium-based fine mapping of quantitative trait loci using identity by descent.

Authors:  L Grapes; M Z Firat; J C M Dekkers; M F Rothschild; R L Fernando
Journal:  Genetics       Date:  2005-12-01       Impact factor: 4.562

2.  Does probabilistic modelling of linkage disequilibrium evolution improve the accuracy of QTL location in animal pedigree?

Authors:  Christine Cierco-Ayrolles; Sébastien Dejean; Andrés Legarra; Hélène Gilbert; Tom Druet; Florence Ytournel; Delphine Estivals; Naïma Oumouhou; Brigitte Mangin
Journal:  Genet Sel Evol       Date:  2010-10-22       Impact factor: 4.297

3.  Linear models for joint association and linkage QTL mapping.

Authors:  Andrés Legarra; Rohan L Fernando
Journal:  Genet Sel Evol       Date:  2009-09-29       Impact factor: 4.297

4.  Linkage disequilibrium interval mapping of quantitative trait loci.

Authors:  Simon Boitard; Jihad Abdallah; Hubert de Rochambeau; Christine Cierco-Ayrolles; Brigitte Mangin
Journal:  BMC Genomics       Date:  2006-03-16       Impact factor: 3.969

  4 in total

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