Literature DB >> 17237038

R/qtlbim: QTL with Bayesian Interval Mapping in experimental crosses.

Brian S Yandell1, Tapan Mehta, Samprit Banerjee, Daniel Shriner, Ramprasad Venkataraman, Jee Young Moon, W Whipple Neely, Hao Wu, Randy von Smith, Nengjun Yi.   

Abstract

UNLABELLED: R/qtlbim is an extensible, interactive environment for the Bayesian Interval Mapping of QTL, built on top of R/qtl (Broman et al., 2003), providing Bayesian analysis of multiple interacting quantitative trait loci (QTL) models for continuous, binary and ordinal traits in experimental crosses. It includes several efficient Markov chain Monte Carlo (MCMC) algorithms for evaluating the posterior of genetic architectures, i.e. the number and locations of QTL, their main and epistatic effects and gene-environment interactions. R/qtlbim provides extensive informative graphical and numerical summaries, and model selection and convergence diagnostics of the MCMC output, illustrated through the vignette, example and demo capabilities of R (R Development Core Team 2006). AVAILABILITY: The package is freely available from cran.r-project.org.

Mesh:

Year:  2007        PMID: 17237038      PMCID: PMC4995770          DOI: 10.1093/bioinformatics/btm011

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  A statistical framework for quantitative trait mapping.

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

2.  R/qtl: QTL mapping in experimental crosses.

Authors:  Karl W Broman; Hao Wu; Saunak Sen; Gary A Churchill
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

3.  Mapping multiple quantitative trait Loci for ordinal traits.

Authors:  Nengjun Yi; Shizhong Xu; Varghese George; David B Allison
Journal:  Behav Genet       Date:  2004-01       Impact factor: 2.805

4.  A unified Markov chain Monte Carlo framework for mapping multiple quantitative trait loci.

Authors:  Nengjun Yi
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

5.  Bayesian model selection for genome-wide epistatic quantitative trait loci analysis.

Authors:  Nengjun Yi; Brian S Yandell; Gary A Churchill; David B Allison; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-05-23       Impact factor: 4.562

6.  The X chromosome in quantitative trait locus mapping.

Authors:  Karl W Broman; Saunak Sen; Sarah E Owens; Ani Manichaikul; E Michelle Southard-Smith; Gary A Churchill
Journal:  Genetics       Date:  2006-10-08       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.  Concordance of murine quantitative trait loci for salt-induced hypertension with rat and human loci.

Authors:  F Sugiyama; G A Churchill; D C Higgins; C Johns; K P Makaritsis; H Gavras; B Paigen
Journal:  Genomics       Date:  2001-01-01       Impact factor: 5.736

  8 in total
  48 in total

1.  Estimation of quantitative trait locus effects with epistasis by variational Bayes algorithms.

Authors:  Zitong Li; Mikko J Sillanpää
Journal:  Genetics       Date:  2011-10-31       Impact factor: 4.562

2.  Mapping quantitative trait loci using the MCMC procedure in SAS.

Authors:  S Xu; Z Hu
Journal:  Heredity (Edinb)       Date:  2010-06-16       Impact factor: 3.821

3.  Nonparametric Bayesian variable selection with applications to multiple quantitative trait loci mapping with epistasis and gene-environment interaction.

Authors:  Fei Zou; Hanwen Huang; Seunggeun Lee; Ina Hoeschele
Journal:  Genetics       Date:  2010-06-15       Impact factor: 4.562

4.  R/qtl: high-throughput multiple QTL mapping.

Authors:  Danny Arends; Pjotr Prins; Ritsert C Jansen; Karl W Broman
Journal:  Bioinformatics       Date:  2010-10-21       Impact factor: 6.937

Review 5.  Statistical analysis of genetic interactions.

Authors:  Nengjun Yi
Journal:  Genet Res (Camb)       Date:  2010-12       Impact factor: 1.588

Review 6.  Advances in Bayesian multiple quantitative trait loci mapping in experimental crosses.

Authors:  N Yi; D Shriner
Journal:  Heredity (Edinb)       Date:  2007-11-07       Impact factor: 3.821

7.  Bayesian mapping of genomewide interacting quantitative trait loci for ordinal traits.

Authors:  Nengjun Yi; Samprit Banerjee; Daniel Pomp; Brian S Yandell
Journal:  Genetics       Date:  2007-05-16       Impact factor: 4.562

8.  An efficient Bayesian model selection approach for interacting quantitative trait loci models with many effects.

Authors:  Nengjun Yi; Daniel Shriner; Samprit Banerjee; Tapan Mehta; Daniel Pomp; Brian S Yandell
Journal:  Genetics       Date:  2007-05-04       Impact factor: 4.562

9.  A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.

Authors:  Ani Manichaikul; Jee Young Moon; Saunak Sen; Brian S Yandell; Karl W Broman
Journal:  Genetics       Date:  2008-12-22       Impact factor: 4.562

10.  Precision-mapping and statistical validation of quantitative trait loci by machine learning.

Authors:  Justin Bedo; Peter Wenzl; Adam Kowalczyk; Andrzej Kilian
Journal:  BMC Genet       Date:  2008-05-02       Impact factor: 2.797

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