Literature DB >> 1505986

On the relative importance of marker heterozygosity and intermarker distance in gene mapping.

J D Terwilliger1, Y Ding, J Ott.   

Abstract

Molecular biologists are often confronted with the problem of whether they should try to generate large numbers of very closely linked markers of low heterozygosity or smaller numbers of less closely linked markers of high heterozygosity. In other words, What is more important for gene mapping, high marker heterozygosity or dense marker spacing? We investigated that problem by analytically computing the expected lod score per meiosis in which the new locus is informative and phase known. We also looked at the length of the 1-unit-of-lod-score support interval for the expected lod score from 100 such meioses. We found that while both quantities have an influence on the number of meioses needed to find linkage, the length of the support interval is almost entirely dependent on the intermarker distance, for heterozygosities between 20 and 100%. However, the probability of any given meiosis being phase known and the ability to develop an accurate map of the markers are functions of marker heterozygosity, further complicating the issue.

Mesh:

Substances:

Year:  1992        PMID: 1505986     DOI: 10.1016/0888-7543(92)90006-e

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  6 in total

1.  Linkage analysis in the presence of errors III: marker loci and their map as nuisance parameters.

Authors:  H H Göring; J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-03-23       Impact factor: 11.025

2.  Construction of a genetic linkage map in tetraploid species using molecular markers.

Authors:  Z W Luo; C A Hackett; J E Bradshaw; J W McNicol; D Milbourne
Journal:  Genetics       Date:  2001-03       Impact factor: 4.562

3.  Genetic maps of microsatellite and single-nucleotide polymorphism markers: are the distances accurate?

Authors:  Suzanne M Leal
Journal:  Genet Epidemiol       Date:  2003-05       Impact factor: 2.135

4.  Map error reduction: using genetic and sequence-based physical maps to order closely linked markers.

Authors:  Andrew T DeWan; Antonio R Parrado; Tara C Matise; Suzanne M Leal
Journal:  Hum Hered       Date:  2002       Impact factor: 0.444

5.  The effect of marker heterozygosity on the power to detect linkage disequilibrium.

Authors:  J Ott; D Rabinowitz
Journal:  Genetics       Date:  1997-10       Impact factor: 4.562

6.  The map problem: a comparison of genetic and sequence-based physical maps.

Authors:  Andrew T DeWan; Antonio R Parrado; Tara C Matise; Suzanne M Leal
Journal:  Am J Hum Genet       Date:  2001-11-09       Impact factor: 11.025

  6 in total

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