Literature DB >> 22744143

Three-point appraisal of genetic linkage maps.

W R Gilks1, S J Welham, J Wang, S J Clark, G J King.   

Abstract

This paper develops a simple diagnostic for the investigation of uncertainty within genetic linkage maps using a Bayesian procedure. The method requires only the genotyping data and the proposed genetic map, and calculates the posterior probability for the possible orders of any set of three markers, accounting for the presence of genotyping error (mistyping) and for missing genotype data. The method uses a Bayesian approach to give insight into conflicts between the order in the proposed map and the genotype scores. The method can also be used to assess the accuracy of a genetic map at different genomic scales and to assess alternative potential marker orders. Simulation and two case studies were used to illustrate the method. In the first case study, the diagnostic revealed conflicts in map ordering for short inter-marker distances that were resolved at a distance of 8-12 cM, except for a set of markers at the end of the linkage group. In the second case study, the ordering did not resolve as distances increase, which could be attributed to regions of the map where many individuals were untyped.

Mesh:

Substances:

Year:  2012        PMID: 22744143     DOI: 10.1007/s00122-012-1920-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  21 in total

1.  A multipoint method for detecting genotyping errors and mutations in sibling-pair linkage data.

Authors:  J A Douglas; M Boehnke; K Lange
Journal:  Am J Hum Genet       Date:  2000-03-28       Impact factor: 11.025

2.  Detection and integration of genotyping errors in statistical genetics.

Authors:  Eric Sobel; Jeanette C Papp; Kenneth Lange
Journal:  Am J Hum Genet       Date:  2002-01-08       Impact factor: 11.025

3.  Systematic detection of errors in genetic linkage data.

Authors:  S E Lincoln; E S Lander
Journal:  Genomics       Date:  1992-11       Impact factor: 5.736

4.  Genetic mapping in the presence of genotyping errors.

Authors:  Dustin A Cartwright; Michela Troggio; Riccardo Velasco; Alexander Gutin
Journal:  Genetics       Date:  2007-02-04       Impact factor: 4.562

5.  Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.

Authors:  Jiaqin Shi; Ruiyuan Li; Dan Qiu; Congcong Jiang; Yan Long; Colin Morgan; Ian Bancroft; Jianyi Zhao; Jinling Meng
Journal:  Genetics       Date:  2009-05-04       Impact factor: 4.562

6.  Three-locus linkage analysis using recombinant inbred strains and Bayes' theorem.

Authors:  P E Neumann
Journal:  Genetics       Date:  1991-07       Impact factor: 4.562

7.  Error detection for genetic data, using likelihood methods.

Authors:  M G Ehm; M Kimmel; R W Cottingham
Journal:  Am J Hum Genet       Date:  1996-01       Impact factor: 11.025

8.  A Bayesian approach for constructing genetic maps when markers are miscoded.

Authors:  Guilherme J M Rosa; Brian S Yandell; Daniel Gianola
Journal:  Genet Sel Evol       Date:  2002 May-Jun       Impact factor: 4.297

9.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

10.  Integration of linkage maps for the Amphidiploid Brassica napus and comparative mapping with Arabidopsis and Brassica rapa.

Authors:  Jun Wang; Derek J Lydiate; Isobel A P Parkin; Cyril Falentin; Régine Delourme; Pierre W C Carion; Graham J King
Journal:  BMC Genomics       Date:  2011-02-09       Impact factor: 3.969

View more
  1 in total

1.  Characterizing uncertainty in high-density maps from multiparental populations.

Authors:  Daniel Ahfock; Ian Wood; Stuart Stephen; Colin R Cavanagh; B Emma Huang
Journal:  Genetics       Date:  2014-09       Impact factor: 4.562

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.