Literature DB >> 3402723

Linkage information and bias in the presence of interference.

D T Bishop1, E A Thompson.   

Abstract

Although interference is an important biological phenomenon, linkage analyses often ignore it for computational efficiency. In this paper we examine the effects of ignoring interference on estimates of recombination fraction, and the power of statistical tests to detect interference. We show that for gametes from phase-known triple heterozygotes, no bias in the recombination fraction for adjacent loci results from the assumption of lack of interference even if interference is present. However, for samples from pairwise informative samples, there is bias introduced. An analytical form for this bias is obtained.

Mesh:

Year:  1988        PMID: 3402723     DOI: 10.1002/gepi.1370050206

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  3 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.  Joint estimation of recombination fractions and interference coefficients in multilocus linkage analysis.

Authors:  L P Zhao; E Thompson; R Prentice
Journal:  Am J Hum Genet       Date:  1990-08       Impact factor: 11.025

3.  Fine-structure genetic mapping of human chromosomes using the polymerase chain reaction on single sperm: experimental design considerations.

Authors:  M Boehnke; N Arnheim; H Li; F S Collins
Journal:  Am J Hum Genet       Date:  1989-07       Impact factor: 11.025

  3 in total

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