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On the use of the moments method of estimation to obtain approximate maximum likelihood estimates of linkage between a genetic marker and a quantitative locus.
Year:
1992
Source of publication :
Heredity
Authors :
ולר, יהודה
;
.
Volume :
68
Co-Authors:
Darvasi, A., Department of Genetics, Hebrew University, Jerusalem, Israel.
Weller, J.I., Department of Genetics, Hebrew University, Jerusalem, Israel.
Facilitators :
From page:
To page:
(
Total pages:
1
)
Abstract:
The approximate maximum likelihood method of Luo & Kearsey (1989) to determine the parameters of a segregating quantitative trait locus (QTL) in an F2 population by linkage to a genetic marker is compared to the 'true' maximum likelihood estimates derived by scanning the seven parameter likelihood space. The two methods did not yield identical results, and diverged markedly for a dominant QTL loosely linked to the genetic marker. Further study is suggested to evaluate other methods that do not simultaneously maximize the likelihood for all parameters.
Note:
Related Files :
article
genetic linkage
genetic markers
Likelihood Functions
Linkage (Genetics)
statistical model
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DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
20483
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:37
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Scientific Publication
On the use of the moments method of estimation to obtain approximate maximum likelihood estimates of linkage between a genetic marker and a quantitative locus.
68
Darvasi, A., Department of Genetics, Hebrew University, Jerusalem, Israel.
Weller, J.I., Department of Genetics, Hebrew University, Jerusalem, Israel.
On the use of the moments method of estimation to obtain approximate maximum likelihood estimates of linkage between a genetic marker and a quantitative locus.
The approximate maximum likelihood method of Luo & Kearsey (1989) to determine the parameters of a segregating quantitative trait locus (QTL) in an F2 population by linkage to a genetic marker is compared to the 'true' maximum likelihood estimates derived by scanning the seven parameter likelihood space. The two methods did not yield identical results, and diverged markedly for a dominant QTL loosely linked to the genetic marker. Further study is suggested to evaluate other methods that do not simultaneously maximize the likelihood for all parameters.
Scientific Publication
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