Literature DB >> 11415524

Genetic crossover interference in the human genome.

S Lin1, R Cheng, F A Wright.   

Abstract

Positive crossover interference refers to the phenomenon that the occurrence of a crossover reduces the probability of another crossover in its vicinity. There have been studies reporting the presence of positive interference in humans. Some studies have also found evidence suggesting within and between chromosomal interference heterogeneity on some of the chromosomes. However, there has been no systematic study of interference and interference heterogeneity in the whole human genome, using pedigree data without first inferring crossovers. In this paper, we studied the Chi-square interference model and other models extensively to compare the relative performance of each of these models for accounting for interference and measuring strength of interference. Our results showed that the Chi-square model consistently fitted the data well and provided easily interpretable estimates of interference strength. The Chi-square model was then used to study interference and interference heterogeneity within and between chromosomes. We found strong evidence of positive interference in the whole human genome. Our results also indicated that the level of interference was fairly constant in most parts of the genome, but there was some evidence suggesting that the levels of interference for two of the chromosomes were different from the rest. We also found evidence of within chromosomal interference heterogeneity for several of the chromosomes.

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Year:  2001        PMID: 11415524     DOI: 10.1046/j.1469-1809.2001.6510079.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  7 in total

1.  Pedigree data analysis with crossover interference.

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

2.  Gene conversion and crossing over along the 405-kb left arm of Saccharomyces cerevisiae chromosome VII.

Authors:  Anna Malkova; Johanna Swanson; Miriam German; John H McCusker; Elizabeth A Housworth; Franklin W Stahl; James E Haber
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

Review 3.  Haplotyping methods for pedigrees.

Authors:  Guimin Gao; David B Allison; Ina Hoeschele
Journal:  Hum Hered       Date:  2009-01-27       Impact factor: 0.444

4.  Patterns of recombination and MLH1 foci density along mouse chromosomes: modeling effects of interference and obligate chiasma.

Authors:  M Falque; R Mercier; C Mézard; D de Vienne; O C Martin
Journal:  Genetics       Date:  2007-05-04       Impact factor: 4.562

5.  A microsatellite-based linkage map of the honeybee, Apis mellifera L.

Authors:  Michel Solignac; Dominique Vautrin; Emmanuelle Baudry; Florence Mougel; Anne Loiseau; Jean-Marie Cornuet
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

6.  Comparisons of methods for linkage analysis and haplotype reconstruction using extended pedigree data.

Authors:  Shili Lin; Jie Ding; Crystal Dong; Zhenqiu Liu; Zhenxu J Ma; Shuyan Wan; Yan Xu
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

7.  Sex-specific crossover distributions and variations in interference level along Arabidopsis thaliana chromosome 4.

Authors:  Jan Drouaud; Raphaël Mercier; Liudmila Chelysheva; Aurélie Bérard; Matthieu Falque; Olivier Martin; Vanessa Zanni; Dominique Brunel; Christine Mézard
Journal:  PLoS Genet       Date:  2007-05-15       Impact factor: 5.917

  7 in total

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