Literature DB >> 11729173

Mapping quantitative trait Loci using generalized estimating equations.

C Lange1, J C Whittaker.   

Abstract

A number of statistical methods are now available to map quantitative trait loci (QTL) relative to markers. However, no existing methodology can simultaneously map QTL for multiple nonnormal traits. In this article we rectify this deficiency by developing a QTL-mapping approach based on generalized estimating equations (GEE). Simulation experiments are used to illustrate the application of the GEE-based approach.

Mesh:

Year:  2001        PMID: 11729173      PMCID: PMC1461861     

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


  14 in total

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Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

2.  Lod scores for gene mapping in the presence of marker map uncertainty.

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3.  Multitrait least squares for quantitative trait loci detection.

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Journal:  Genetics       Date:  2000-10       Impact factor: 4.562

4.  On the differences between maximum likelihood and regression interval mapping in the analysis of quantitative trait loci.

Authors:  C H Kao
Journal:  Genetics       Date:  2000-10       Impact factor: 4.562

5.  Interval mapping of quantitative trait loci employing correlated trait complexes.

Authors:  A B Korol; Y I Ronin; V M Kirzhner
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

6.  Multiple trait analysis of genetic mapping for quantitative trait loci.

Authors:  C Jiang; Z B Zeng
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

7.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

8.  Genetic mapping of quantitative trait loci for traits with ordinal distributions.

Authors:  C A Hackett; J I Weller
Journal:  Biometrics       Date:  1995-12       Impact factor: 2.571

9.  High resolution of quantitative traits into multiple loci via interval mapping.

Authors:  R C Jansen; P Stam
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

10.  Precision mapping of quantitative trait loci.

Authors:  Z B Zeng
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

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  24 in total

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Authors:  Weiping Deng; Hanfeng Chen; Zhaohai Li
Journal:  Genetics       Date:  2005-11-04       Impact factor: 4.562

3.  Joint mapping of quantitative trait Loci for multiple binary characters.

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Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

4.  Mapping quantitative trait loci by an extension of the Haley-Knott regression method using estimating equations.

Authors:  Bjarke Feenstra; Ib M Skovgaard; Karl W Broman
Journal:  Genetics       Date:  2006-05-15       Impact factor: 4.562

5.  On the generalized poisson regression mixture model for mapping quantitative trait loci with count data.

Authors:  Yuehua Cui; Dong-Yun Kim; Jun Zhu
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

6.  Bayesian mapping of quantitative trait loci for multiple complex traits with the use of variance components.

Authors:  Jianfeng Liu; Yongjun Liu; Xiaogang Liu; Hong-Wen Deng
Journal:  Am J Hum Genet       Date:  2007-07-03       Impact factor: 11.025

7.  Bayesian quantitative trait loci mapping for multiple traits.

Authors:  Samprit Banerjee; Brian S Yandell; Nengjun Yi
Journal:  Genetics       Date:  2008-08-09       Impact factor: 4.562

8.  A flexible estimating equations approach for mapping function-valued traits.

Authors:  Hao Xiong; Evan H Goulding; Elaine J Carlson; Laurence H Tecott; Charles E McCulloch; Saunak Sen
Journal:  Genetics       Date:  2011-07-29       Impact factor: 4.562

9.  Linear and generalized linear models for the detection of QTL effects on within-subject variability.

Authors:  Dörte Wittenburg; Volker Guiard; Friedrich Liese; Norbert Reinsch
Journal:  Genet Res       Date:  2007-08       Impact factor: 1.588

10.  Univariate/multivariate genome-wide association scans using data from families and unrelated samples.

Authors:  Lei Zhang; Yu-Fang Pei; Jian Li; Christopher J Papasian; Hong-Wen Deng
Journal:  PLoS One       Date:  2009-08-04       Impact factor: 3.240

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