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Maximum likelihood estimation of quantitative trait loci parameters with the aid of genetic markers using a standard statistical package
Year:
1989
Source of publication :
Carcinogenesis
Authors :
Weller, Joel Ira
;
.
Volume :
10
Co-Authors:
Elkind, Y., Hebrew University, Rehovot 76100, Israel
Nir, B., Hebrew University, Rehovot 76100, Israel
Weller, J.I., Institute of Animal Sciences, ARO, Volcam Center, Bel Dagan 50250, Israel
Facilitators :
From page:
513
To page:
517
(
Total pages:
5
)
Abstract:
Consistent parameter estimates of quantitative trait loci linked to genetic markers can be derived by maximum likelihood methodology. For many experimental designs of interest, parameter estimates and their standard errors can be obtained by program LE of BMDP, which uses the Newton-Raphson method of iteration. Program LE was tested on data simulated for a backcross between two inbred lines. A single quantitative trait locus linked to either one or two genetic markers was simulated. Convergence was rapid, and computing and programming time were insignificant. All parameter estimates were within the expected bounds. Many different designs can be readily analyzed. © 1994 Oxford University Press.
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DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
25445
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:15
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Scientific Publication
Maximum likelihood estimation of quantitative trait loci parameters with the aid of genetic markers using a standard statistical package
10
Elkind, Y., Hebrew University, Rehovot 76100, Israel
Nir, B., Hebrew University, Rehovot 76100, Israel
Weller, J.I., Institute of Animal Sciences, ARO, Volcam Center, Bel Dagan 50250, Israel
Maximum likelihood estimation of quantitative trait loci parameters with the aid of genetic markers using a standard statistical package
Consistent parameter estimates of quantitative trait loci linked to genetic markers can be derived by maximum likelihood methodology. For many experimental designs of interest, parameter estimates and their standard errors can be obtained by program LE of BMDP, which uses the Newton-Raphson method of iteration. Program LE was tested on data simulated for a backcross between two inbred lines. A single quantitative trait locus linked to either one or two genetic markers was simulated. Convergence was rapid, and computing and programming time were insignificant. All parameter estimates were within the expected bounds. Many different designs can be readily analyzed. © 1994 Oxford University Press.
Scientific Publication
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