Literature DB >> 2378350

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

L P Zhao1, E Thompson, R Prentice.   

Abstract

Estimation of recombination fractions and interference coefficients is of importance in multilocus linkage analysis. With the development of molecular genetic technologies such as RFLP, multilocus data are readily available to researchers. Several methods have been developed to analyze such data, and each performs well under restrictive conditions. The present paper proposes a method based on a multiplicative model and maximum-likelihood estimation of recombination fractions and interference coefficients. The estimators are consistent regardless of the model assumptions and are efficient if the model is a good approximation. The estimators are tractable even when there are incomplete observations. Furthermore, the interference between nonadjacent chromosomal regions or those among three chromosomal regions can be modeled and tested by a simple Z-test. The proposed method was applied to linkage analysis of four-locus data obtained from Drosophila and that of seven-locus data obtained again from Drosophila. Reanalysis of the first example revealed that there is interference between chromosomal regions 2 and 3. Analysis of the second example suggested that there is triple interference as well as pairwise interference between nonadjacent chromosomal regions; the genetic interpretation of these findings remains to be developed.

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Year:  1990        PMID: 2378350      PMCID: PMC1683726     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  9 in total

1.  Age trends in human chiasma frequencies and recombination fractions. II. Method for analyzing recombination fractions and applications to the ABO:nail-patella linkage.

Authors:  R C Elston; E Lange; K K Namboodiri
Journal:  Am J Hum Genet       Date:  1976-01       Impact factor: 11.025

2.  The Theory of Multiple-Strand Crossing over.

Authors:  A Weinstein
Journal:  Genetics       Date:  1936-05       Impact factor: 4.562

3.  Multipoint linkage analysis.

Authors:  N E Morton; C J MacLean; R Lew; S Yee
Journal:  Am J Hum Genet       Date:  1986-06       Impact factor: 11.025

4.  Apparent negative interference due to variation in recombination frequencies.

Authors:  T Säll; B O Bengtsson
Journal:  Genetics       Date:  1989-08       Impact factor: 4.562

5.  Models of multilocus recombination: nonrandomness in chiasma number and crossover positions.

Authors:  D E Goldgar; P R Fain
Journal:  Am J Hum Genet       Date:  1988-07       Impact factor: 11.025

6.  Linkage information and bias in the presence of interference.

Authors:  D T Bishop; E A Thompson
Journal:  Genet Epidemiol       Date:  1988       Impact factor: 2.135

7.  Correlated binary regression with covariates specific to each binary observation.

Authors:  R L Prentice
Journal:  Biometrics       Date:  1988-12       Impact factor: 2.571

8.  Refined linkage map of chromosome 7 in the region of the cystic fibrosis gene.

Authors:  G M Lathrop; M Farrall; P O'Connell; B Wainwright; M Leppert; Y Nakamura; N Lench; H Kruyer; M Dean; M Park
Journal:  Am J Hum Genet       Date:  1988-01       Impact factor: 11.025

9.  Multilocus linkage analysis in humans: detection of linkage and estimation of recombination.

Authors:  G M Lathrop; J M Lalouel; C Julier; J Ott
Journal:  Am J Hum Genet       Date:  1985-05       Impact factor: 11.025

  9 in total
  2 in total

1.  The robustness of recombination frequency estimates in intercrosses with dominant markers.

Authors:  T Säll; N O Nilsson
Journal:  Genetics       Date:  1994-06       Impact factor: 4.562

2.  Detection of genetic interference: simulation studies and mouse data.

Authors:  D E Weeks; J Ott; G M Lathrop
Journal:  Genetics       Date:  1994-03       Impact factor: 4.562

  2 in total

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