Literature DB >> 7713408

Statistical analysis of chromatid interference.

H Zhao1, M S McPeek, T P Speed.   

Abstract

The nonrandom occurrence of crossovers along a single strand during meiosis can be caused by either chromatid interference, crossover interference or both. Although crossover interference has been consistently observed in almost all organisms since the time of the first linkage studies, chromatid interference has not been as thoroughly discussed in the literature, and the evidence provided for it is inconsistent. In this paper with virtually no restrictions on the nature of crossover interference, we describe the constraints that follow from the assumption of no chromatid interference for single spore data. These constraints are necessary consequences of the assumption of no chromatid interference, but their satisfaction is not sufficient to guarantee no chromatid interference. Models can be constructed in which chromatid interference clearly exists but is not detectable with single spore data. We then extend our analysis to cover tetrad data, which permits more powerful tests of no chromatid interference. We note that the traditional test of no chromatid interference based on tetrad data does not make full use of the information provided by the data, and we offer a statistical procedure for testing the no chromatid interference constraints that does make full use of the data. The procedure is then applied to data from several organisms. Although no strong evidence of chromatid interference is found, we do observe an excess of two-strand double recombinations, i.e., negative chromatid interference.

Mesh:

Year:  1995        PMID: 7713408      PMCID: PMC1206356     

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


  3 in total

1.  Crossing-over and interference in a multiply marked chromosome arm of Neurospora.

Authors:  D D PERKINS
Journal:  Genetics       Date:  1962-09       Impact factor: 4.562

2.  Robustness of the no-interference model for ordering genetic markers.

Authors:  T P Speed; M S McPeek; S N Evans
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-01       Impact factor: 11.205

3.  Chromosome Mapping in Saccharomyces: Centromere-Linked Genes.

Authors:  D C Hawthorne; R K Mortimer
Journal:  Genetics       Date:  1960-08       Impact factor: 4.562

  3 in total
  31 in total

1.  Characterization of human crossover interference.

Authors:  K W Broman; J L Weber
Journal:  Am J Hum Genet       Date:  2000-05-08       Impact factor: 11.025

2.  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

3.  A genetic test to determine the origin of maternal transmission ratio distortion. Meiotic drive at the mouse Om locus.

Authors:  F Pardo-Manuel de Villena; E de la Casa-Esperon; T L Briscoe; C Sapienza
Journal:  Genetics       Date:  2000-01       Impact factor: 4.562

4.  Models for chromatid interference with applications to recombination data.

Authors:  F Teuscher; G A Brockmann; P E Rudolph; H H Swalve; V Guiard
Journal:  Genetics       Date:  2000-11       Impact factor: 4.562

5.  The relationship between count-location and stationary renewal models for the chiasma process.

Authors:  S Browning
Journal:  Genetics       Date:  2000-08       Impact factor: 4.562

6.  Crossover interference in the mouse.

Authors:  Karl W Broman; Lucy B Rowe; Gary A Churchill; Ken Paigen
Journal:  Genetics       Date:  2002-03       Impact factor: 4.562

7.  A reaction-diffusion model for interference in meiotic crossing over.

Authors:  Youhei Fujitani; Shintaro Mori; Ichizo Kobayashi
Journal:  Genetics       Date:  2002-05       Impact factor: 4.562

8.  Crossover interference in humans.

Authors:  E A Housworth; F W Stahl
Journal:  Am J Hum Genet       Date:  2003-05-22       Impact factor: 11.025

9.  Pedigree data analysis with crossover interference.

Authors:  Sharon Browning
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

10.  NON-HOMOGENEOUS POISSON PROCESS MODEL FOR GENETIC CROSSOVER INTERFERENCE.

Authors:  Szu-Yun Leu; Pranab K Sen
Journal:  Commun Stat Theory Methods       Date:  2014       Impact factor: 0.893

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