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PMID: 8349116 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map.

Genetics ·Vol. 134 ·No. 3 ·1993-07-00 ·Pages 943-51

Darvasi A, Weinreb A, Minke V, Weller JI, Soller M

Abstract

A simulation study was carried out on a backcross population in order to determine the effect of marker spacing, gene effect and population size on the power of marker-quantitative trait loci (QTL) linkage experiments and on the standard error of maximum likelihood estimates (MLE) of QTL gene effect and map location. Power of detecting a QTL was virtually the same for a marker spacing of 10 cM as for an infinite number of markers and was only slightly decreased for marker spacing of 20 or even 50 cM. The advantage of using interval mapping as compared to single-marker analysis was slight. "Resolving power" of a marker-QTL linkage experiment was defined as the 95% confidence interval for the QTL map location that would be obtained when scoring an infinite number of markers. It was found that reducing marker spacing below the resolving power did not add appreciably to narrowing the confidence interval. Thus, the 95% confidence interval with infinite markers sets the useful marker spacing for estimating QTL map location for a given population size and estimated gene effect.

Related Genes
QTL
MeSH Terms
Chromosome Mapping Crosses, Genetic Genetic Linkage Genetic Markers Lod Score
Chemicals
Genetic Markers
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Darvasi A
Department of Genetics, Alexander Silberman Life Sciences Institute, Hebrew University of Jerusalem, Israel.
Weinreb A
Minke V
Weller J I
Soller M
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8 references, click to expand
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
Published
1993-07-00
Pages
943-51
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1205528
Subset
IM
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