Literature DB >> 9136030

Linkage mapping in experimental crosses: the robustness of single-gene models.

F A Wright1, A Kong.   

Abstract

The robustness of parametric linkage mapping against model misspecification is considered in experimental breeding designs, with a focus on localization of the gene. By examining the expected LOD across the genome, it is shown that single-gene models are quite robust, even for polygenic traits. However, when the marker map is of low resolution, linked polygenes can give rise to an apparent "ghost" gene, mapped to an incorrect interval. The results apply equally well to quantitative traits or qualitative (categorical) traits. The results are derived for backcross populations, with a discussion of extensions to intercross populations and relative-pair mapping in humans.

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Year:  1997        PMID: 9136030      PMCID: PMC1207957     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  11 in total

1.  On the asymptotic behavior of the estimate of the recombination fraction under the null hypothesis of no linkage when the model is misspecified.

Authors:  J A Williamson; C I Amos
Journal:  Genet Epidemiol       Date:  1990       Impact factor: 2.135

2.  Model misspecification and multipoint linkage analysis.

Authors:  N Risch; L Giuffra
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

3.  Adequacy of single-locus approximations for linkage analyses of oligogenic traits.

Authors:  V J Vieland; S E Hodge; D A Greenberg
Journal:  Genet Epidemiol       Date:  1992       Impact factor: 2.135

4.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

5.  Effects of misspecifying genetic parameters in lod score analysis.

Authors:  F Clerget-Darpoux; C Bonaïti-Pellié; J Hochez
Journal:  Biometrics       Date:  1986-06       Impact factor: 2.571

6.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

7.  Guess LOD approach: sufficient conditions for robustness.

Authors:  J A Williamson; C I Amos
Journal:  Genet Epidemiol       Date:  1995       Impact factor: 2.135

8.  Interval mapping of multiple quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1993-09       Impact factor: 4.562

9.  Lods, wrods, and mods: the interpretation of lod scores calculated under different models.

Authors:  S E Hodge; R C Elston
Journal:  Genet Epidemiol       Date:  1994       Impact factor: 2.135

10.  Asymptotic theory for gene mapping.

Authors:  A Kong; F Wright
Journal:  Proc Natl Acad Sci U S A       Date:  1994-10-11       Impact factor: 11.205

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  12 in total

1.  Enhanced efficiency of quantitative trait loci mapping analysis based on multivariate complexes of quantitative traits.

Authors:  A B Korol; Y I Ronin; A M Itskovich; J Peng; E Nevo
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

2.  Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure.

Authors:  D B Allison; M C Neale; R Zannolli; N J Schork; C I Amos; J Blangero
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

3.  A statistical framework for quantitative trait mapping.

Authors:  S Sen; G A Churchill
Journal:  Genetics       Date:  2001-09       Impact factor: 4.562

4.  Defining a rat blood pressure quantitative trait locus to a <81.8 kb congenic segment: comprehensive sequencing and renal transcriptome analysis.

Authors:  K Gopalakrishnan; J Saikumar; C G Peters; S Kumarasamy; P Farms; S Yerga-Woolwine; E J Toland; W Schnackel; D R Giovannucci; B Joe
Journal:  Physiol Genomics       Date:  2010-08-17       Impact factor: 3.107

5.  Relaxed significance criteria for linkage analysis.

Authors:  Lin Chen; John D Storey
Journal:  Genetics       Date:  2006-06-18       Impact factor: 4.562

6.  Joint estimates of quantitative trait locus effect and frequency using synthetic recombinant populations of Drosophila melanogaster.

Authors:  Stuart J Macdonald; Anthony D Long
Journal:  Genetics       Date:  2007-04-15       Impact factor: 4.562

7.  Genetic mapping and genomic selection using recombination breakpoint data.

Authors:  Shizhong Xu
Journal:  Genetics       Date:  2013-08-26       Impact factor: 4.562

8.  Linkage disequilibrium mapping in isolated populations: the example of Finland revisited.

Authors:  A de la Chapelle; F A Wright
Journal:  Proc Natl Acad Sci U S A       Date:  1998-10-13       Impact factor: 11.205

9.  Single- and multiple-trait mapping analysis of linked quantitative trait loci. Some asymptotic analytical approximations.

Authors:  Y I Ronin; A B Korol; E Nevo
Journal:  Genetics       Date:  1999-01       Impact factor: 4.562

10.  Positional identification of variants of Adamts16 linked to inherited hypertension.

Authors:  Bina Joe; Yasser Saad; Seema Dhindaw; Norman H Lee; Bryan C Frank; Ovokeraye H Achinike; Truong V Luu; Kathirvel Gopalakrishnan; Edward J Toland; Phyllis Farms; Shane Yerga-Woolwine; Ezhilarasi Manickavasagam; John P Rapp; Michael R Garrett; David Coe; Suneel S Apte; Tuomo Rankinen; Louis Pérusse; Georg B Ehret; Santhi K Ganesh; Richard S Cooper; Ashley O'Connor; Treva Rice; Alan B Weder; Aravinda Chakravarti; Dabeeru C Rao; Claude Bouchard
Journal:  Hum Mol Genet       Date:  2009-05-07       Impact factor: 6.150

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