Literature DB >> 3402726

A major simplification in the preliminary ordering of linked loci.

S R Wilson1.   

Abstract

For ordering n loci there are n!/2 distinct orders to be evaluated. Each order has a different set of event probabilities where the events are the occurrence and nonoccurrence of recombination in each interval determined by that order. To choose between the distinct orders, further assumptions are necessary. The biologically natural one is that the recombination rate over a subinterval is always less than or equal to the recombination rate over the larger interval. A second assumption is necessary, and the one commonly made is that there is no interference. Using a simple matrix approach it is shown that a consequence of these assumptions is that the optimal order is the order with the minimum value of the product of the adjoining pairwise recombination rates. This result gives a very simple procedure for obtaining preliminary genetic maps that may be used as starting points for more computer-intensive, maximum-likelihood, multipoint techniques.

Mesh:

Year:  1988        PMID: 3402726     DOI: 10.1002/gepi.1370050203

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


  13 in total

1.  Monte Carlo simulations on marker grouping and ordering.

Authors:  J Wu; J Jenkins; J Zhu; J McCarty; C Watson
Journal:  Theor Appl Genet       Date:  2003-05-22       Impact factor: 5.699

2.  Constructing large-scale genetic maps using an evolutionary strategy algorithm.

Authors:  D Mester; Y Ronin; D Minkov; E Nevo; A Korol
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

3.  Efficient multipoint mapping: making use of dominant repulsion-phase markers.

Authors:  D I Mester; Y I Ronin; Y Hu; J Peng; E Nevo; A B Korol
Journal:  Theor Appl Genet       Date:  2003-08-20       Impact factor: 5.699

4.  A novel Markov chain monte carlo approach for constructing accurate meiotic maps.

Authors:  Andrew W George
Journal:  Genetics       Date:  2005-06-18       Impact factor: 4.562

5.  A novel method for estimating linkage maps.

Authors:  Yuan-De Tan; Yun-Xin Fu
Journal:  Genetics       Date:  2006-06-18       Impact factor: 4.562

6.  Monte Carlo comparison of preliminary methods for ordering multiple genetic loci.

Authors:  J M Olson; M Boehnke
Journal:  Am J Hum Genet       Date:  1990-09       Impact factor: 11.025

7.  Genetic loci ordering instability: an example.

Authors:  H Falk; C T Falk
Journal:  Am J Hum Genet       Date:  1990-06       Impact factor: 11.025

8.  Comparisons of four approximation algorithms for large-scale linkage map construction.

Authors:  Jixiang Wu; Johnie N Jenkins; Jack C McCarty; Xiang-Yang Lou
Journal:  Theor Appl Genet       Date:  2011-05-25       Impact factor: 5.699

9.  Empirical power of three preliminary methods for ordering loci.

Authors:  C M Kammerer; J W MacCluer
Journal:  Am J Hum Genet       Date:  1988-12       Impact factor: 11.025

10.  Stochastic deletion-insertion algorithm to construct dense linkage maps.

Authors:  Jixiang Wu; Xiang-Yang Lou; Michael Gonda
Journal:  Stat Interface       Date:  2011-01-01       Impact factor: 0.582

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