Literature DB >> 1743495

A mathematical model of interference for use in constructing linkage maps from tetrad data.

J S King1, R K Mortimer.   

Abstract

In determining genetic map distances it is necessary to infer crossover frequencies from the ratios of recombinant and parental progeny. To do this accurately, in intervals where multiple crossovers may occur, a mathematical model of chiasma interference must be assumed when mapping in organisms displaying such interference. In Saccharomyces cerevisiae the model most frequently used is that of R.W. Barratt. An alternative to this model is presented. This new model is implemented using a microcomputer and standard numerical methods. It is demonstrated to fit ranked tetrad data from Saccharomyces more closely than the Barratt model and thus generates more accurate estimates of map distances when used with two-point data. A computer program implementing the model has been developed for use in calculating map distances from tetrad data in Saccharomyces.

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Year:  1991        PMID: 1743495      PMCID: PMC1204647     

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


  8 in total

1.  Map construction in Neurospora crassa.

Authors:  R W BARRATT; D NEWMEYER; D D PERKINS; L GARNJOBST
Journal:  Adv Genet       Date:  1954       Impact factor: 1.944

2.  Biochemical Mutants in the Smut Fungus Ustilago Maydis.

Authors:  D D Perkins
Journal:  Genetics       Date:  1949-09       Impact factor: 4.562

3.  Genetic map of Saccharomyces cerevisiae, edition 10.

Authors:  R K Mortimer; D Schild; C R Contopoulou; J A Kans
Journal:  Yeast       Date:  1989 Sep-Oct       Impact factor: 3.239

4.  Maximum likelihood estimation of linkage and interference from tetrad data.

Authors:  R Snow
Journal:  Genetics       Date:  1979-05       Impact factor: 4.562

5.  Empirical equation that can be used to determine genetic map distances from tetrad data.

Authors:  C Ma; R K Mortimer
Journal:  Mol Cell Biol       Date:  1983-10       Impact factor: 4.272

6.  Genetic map of Saccharomyces cerevisiae.

Authors:  R K Mortimer; D Schild
Journal:  Microbiol Rev       Date:  1980-12

7.  A polymerization model of chiasma interference and corresponding computer simulation.

Authors:  J S King; R K Mortimer
Journal:  Genetics       Date:  1990-12       Impact factor: 4.562

8.  Structural analysis of the dur loci in S. cerevisiae: two domains of a single multifunctional gene.

Authors:  T G Cooper; C Lam; V Turoscy
Journal:  Genetics       Date:  1980-03       Impact factor: 4.562

  8 in total
  7 in total

1.  Do-it-yourself statistics: A computer-assisted likelihood approach to analysis of data from genetic crosses.

Authors:  L G Robbins
Journal:  Genetics       Date:  2000-01       Impact factor: 4.562

2.  Estimating interference and linkage map distance from two-factor tetrad data.

Authors:  F W Stahl; R Lande
Journal:  Genetics       Date:  1995-03       Impact factor: 4.562

3.  Nonhomologous synapsis and reduced crossing over in a heterozygous paracentric inversion in Saccharomyces cerevisiae.

Authors:  M E Dresser; D J Ewing; S N Harwell; D Coody; M N Conrad
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

4.  Regulation of the urea active transporter gene (DUR3) in Saccharomyces cerevisiae.

Authors:  H M ElBerry; M L Majumdar; T S Cunningham; R A Sumrada; T G Cooper
Journal:  J Bacteriol       Date:  1993-08       Impact factor: 3.490

5.  Genetic and physical maps of Saccharomyces cerevisiae.

Authors:  J M Cherry; C Ball; S Weng; G Juvik; R Schmidt; C Adler; B Dunn; S Dwight; L Riles; R K Mortimer; D Botstein
Journal:  Nature       Date:  1997-05-29       Impact factor: 49.962

6.  Does crossover interference count in Saccharomyces cerevisiae?

Authors:  Franklin W Stahl; Henriette M Foss; Lisa S Young; Rhona H Borts; M F F Abdullah; Gregory P Copenhaver
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

7.  InterferenceAnalyzer: tools for the analysis and simulation of multi-locus genetic data.

Authors:  Lalitha Viswanath; Elizabeth A Housworth
Journal:  BMC Bioinformatics       Date:  2005-12-12       Impact factor: 3.169

  7 in total

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