נגישות
menu      
חיפוש מתקדם
תחביר
חפש...
הספר "אוצר וולקני"
אודות
תנאי שימוש
ניהול
קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map
Year:
1993
Source of publication :
Genetics (מקור פרסום )
Authors :
ולר, יהודה
;
.
Volume :
134
Co-Authors:
Darvasi, A., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Weinreb, A., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Minke, V., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Weller, J.I., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Soller, M., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Facilitators :
From page:
943
To page:
951
(
Total pages:
9
)
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 for 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.
Note:
Related Files :
chromosome mapping
gene locus
gene mapping
genetic linkage
genetic markers
Lod Score
quantitative trait
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
26044
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:19
You may also be interested in
Scientific Publication
Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map
134
Darvasi, A., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Weinreb, A., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Minke, V., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Weller, J.I., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Soller, M., Department of Genetics, A. Silberman Life Sciences Institute, Hebrew University of Jerusalem, 91904 Jerusalem, Israel
Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map
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 for 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.
Scientific Publication
You may also be interested in