Literature DB >> 26048018

Reconstruction of Genome Ancestry Blocks in Multiparental Populations.

Chaozhi Zheng1, Martin P Boer2, Fred A van Eeuwijk2.   

Abstract

We present a general hidden Markov model framework called R: econstructing A: ncestry B: locks BIT: by bit (RABBIT) for reconstructing genome ancestry blocks from single-nucleotide polymorphism (SNP) array data, a required step for quantitative trait locus (QTL) mapping. The framework can be applied to a wide range of mapping populations such as the Arabidopsis multiparent advanced generation intercross (MAGIC), the mouse Collaborative Cross (CC), and the diversity outcross (DO) for both autosomes and X chromosomes if they exist. The model underlying RABBIT accounts for the joint pattern of recombination breakpoints between two homologous chromosomes and missing data and allelic typing errors in the genotype data of both sampled individuals and founders. Studies on simulated data of the MAGIC and the CC and real data of the MAGIC, the DO, and the CC demonstrate that RABBIT is more robust and accurate in reconstructing recombination bin maps than some commonly used methods.
Copyright © 2015 by the Genetics Society of America.

Entities:  

Keywords:  Collaborative Cross (CC); Multiparent Advanced Generation Inter-Cross (MAGIC); diversity outcross (DO); haplotype reconstruction; hidden Markov model; multiparental populations; MPP

Mesh:

Year:  2015        PMID: 26048018      PMCID: PMC4574238          DOI: 10.1534/genetics.115.177873

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


  21 in total

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Authors:  R Mott; C J Talbot; M G Turri; A C Collins; J Flint
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2.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

Authors:  Gonçalo R Abecasis; Stacey S Cherny; William O Cookson; Lon R Cardon
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3.  R/qtl: QTL mapping in experimental crosses.

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4.  Properties and power of the Drosophila Synthetic Population Resource for the routine dissection of complex traits.

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Journal:  Genetics       Date:  2012-04-13       Impact factor: 4.562

5.  The Collaborative Cross, a community resource for the genetic analysis of complex traits.

Authors:  Gary A Churchill; David C Airey; Hooman Allayee; Joe M Angel; Alan D Attie; Jackson Beatty; William D Beavis; John K Belknap; Beth Bennett; Wade Berrettini; Andre Bleich; Molly Bogue; Karl W Broman; Kari J Buck; Ed Buckler; Margit Burmeister; Elissa J Chesler; James M Cheverud; Steven Clapcote; Melloni N Cook; Roger D Cox; John C Crabbe; Wim E Crusio; Ariel Darvasi; Christian F Deschepper; R W Doerge; Charles R Farber; Jiri Forejt; Daniel Gaile; Steven J Garlow; Hartmut Geiger; Howard Gershenfeld; Terry Gordon; Jing Gu; Weikuan Gu; Gerald de Haan; Nancy L Hayes; Craig Heller; Heinz Himmelbauer; Robert Hitzemann; Kent Hunter; Hui-Chen Hsu; Fuad A Iraqi; Boris Ivandic; Howard J Jacob; Ritsert C Jansen; Karl J Jepsen; Dabney K Johnson; Thomas E Johnson; Gerd Kempermann; Christina Kendziorski; Malak Kotb; R Frank Kooy; Bastien Llamas; Frank Lammert; Jean-Michel Lassalle; Pedro R Lowenstein; Lu Lu; Aldons Lusis; Kenneth F Manly; Ralph Marcucio; Doug Matthews; Juan F Medrano; Darla R Miller; Guy Mittleman; Beverly A Mock; Jeffrey S Mogil; Xavier Montagutelli; Grant Morahan; David G Morris; Richard Mott; Joseph H Nadeau; Hiroki Nagase; Richard S Nowakowski; Bruce F O'Hara; Alexander V Osadchuk; Grier P Page; Beverly Paigen; Kenneth Paigen; Abraham A Palmer; Huei-Ju Pan; Leena Peltonen-Palotie; Jeremy Peirce; Daniel Pomp; Michal Pravenec; Daniel R Prows; Zhonghua Qi; Roger H Reeves; John Roder; Glenn D Rosen; Eric E Schadt; Leonard C Schalkwyk; Ze'ev Seltzer; Kazuhiro Shimomura; Siming Shou; Mikko J Sillanpää; Linda D Siracusa; Hans-Willem Snoeck; Jimmy L Spearow; Karen Svenson; Lisa M Tarantino; David Threadgill; Linda A Toth; William Valdar; Fernando Pardo-Manuel de Villena; Craig Warden; Steve Whatley; Robert W Williams; Tim Wiltshire; Nengjun Yi; Dabao Zhang; Min Zhang; Fei Zou
Journal:  Nat Genet       Date:  2004-11       Impact factor: 38.330

6.  High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.

Authors:  Michael Stange; H Friedrich Utz; Tobias A Schrag; Albrecht E Melchinger; Tobias Würschum
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7.  A general modeling framework for genome ancestral origins in multiparental populations.

Authors:  Chaozhi Zheng; Martin P Boer; Fred A van Eeuwijk
Journal:  Genetics       Date:  2014-09       Impact factor: 4.562

8.  High-resolution genetic mapping using the Mouse Diversity outbred population.

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Journal:  Genetics       Date:  2012-02       Impact factor: 4.562

9.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
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10.  Modeling X-linked ancestral origins in multiparental populations.

Authors:  Chaozhi Zheng
Journal:  G3 (Bethesda)       Date:  2015-03-04       Impact factor: 3.154

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  25 in total

1.  Signatures of Dobzhansky-Muller Incompatibilities in the Genomes of Recombinant Inbred Lines.

Authors:  Maria Colomé-Tatché; Frank Johannes
Journal:  Genetics       Date:  2015-12-17       Impact factor: 4.562

2.  Construction of Genetic Linkage Maps in Multiparental Populations.

Authors:  Chaozhi Zheng; Martin P Boer; Fred A van Eeuwijk
Journal:  Genetics       Date:  2019-06-10       Impact factor: 4.562

3.  Accurate Genotype Imputation in Multiparental Populations from Low-Coverage Sequence.

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Journal:  Genetics       Date:  2018-07-25       Impact factor: 4.562

4.  Probabilistic Multilocus Haplotype Reconstruction in Outcrossing Tetraploids.

Authors:  Chaozhi Zheng; Roeland E Voorrips; Johannes Jansen; Christine A Hackett; Julie Ho; Marco C A M Bink
Journal:  Genetics       Date:  2016-02-26       Impact factor: 4.562

5.  Whole genome sequencing of ASD 16 and ADT 43 to identify predominant grain size and starch associated alleles in rice.

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Journal:  Mol Biol Rep       Date:  2022-10-06       Impact factor: 2.742

6.  Haplotype reconstruction in connected tetraploid F1 populations.

Authors:  Chaozhi Zheng; Rodrigo R Amadeu; Patricio R Munoz; Jeffrey B Endelman
Journal:  Genetics       Date:  2021-10-02       Impact factor: 4.402

7.  QTL mapping in outbred tetraploid (and diploid) diallel populations.

Authors:  Rodrigo R Amadeu; Patricio R Muñoz; Chaozhi Zheng; Jeffrey B Endelman
Journal:  Genetics       Date:  2021-11-05       Impact factor: 4.402

8.  A generic hidden Markov model for multiparent populations.

Authors:  Karl W Broman
Journal:  G3 (Bethesda)       Date:  2022-02-04       Impact factor: 3.542

9.  Fine mapping of a major QTL for awn length in barley using a multiparent mapping population.

Authors:  Corinna B Liller; Agatha Walla; Martin P Boer; Pete Hedley; Malcolm Macaulay; Sieglinde Effgen; Maria von Korff; G Wilma van Esse; Maarten Koornneef
Journal:  Theor Appl Genet       Date:  2016-10-12       Impact factor: 5.699

10.  How do the type of QTL effect and the form of the residual term influence QTL detection in multi-parent populations? A case study in the maize EU-NAM population.

Authors:  Vincent Garin; Valentin Wimmer; Sofiane Mezmouk; Marcos Malosetti; Fred van Eeuwijk
Journal:  Theor Appl Genet       Date:  2017-05-25       Impact factor: 5.699

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