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 -
Correcting for bias in estimation of quantitative trait loci effects
Year:
2005
Source of publication :
Genetics Selection Evolution
Authors :
ולר, יהודה
;
.
רון, מיכה
;
.
שלזינגר, מיטל
;
.
Volume :
37
Co-Authors:
Weller, J.I., Institute of Animal Sciences, ARO, Volcani Center, Bet Dagan 50250, Israel
Shlezinger, M., Institute of Animal Sciences, ARO, Volcani Center, Bet Dagan 50250, Israel
Ron, M., Institute of Animal Sciences, ARO, Volcani Center, Bet Dagan 50250, Israel
Facilitators :
From page:
501
To page:
522
(
Total pages:
22
)
Abstract:
Estimates of quantitative trait loci (QTL) effects derived from complete genome scans are biased, if no assumptions are made about the distribution of QTL effects. Bias should be reduced if estimates are derived by maximum likelihood, with the QTL effects sampled from a known distribution. The parameters of the distributions of QTL effects for nine economic traits in dairy cattle were estimated from a daughter design analysis of the Israeli Holstein population including 490 marker-by-sire contrasts. A separate gamma distribution was derived for each trait. Estimates for both the α and β parameters and their SE decreased as a function of heritability. The maximum likelihood estimates derived for the individual QTL effects using the gamma distributions for each trait were regressed relative to the least squares estimates, but the regression factor decreased as a function of the least squares estimate. On simulated data, the mean of least squares estimates for effects with nominal 1% significance was more than twice the simulated values, while the mean of the maximum likelihood estimates was slightly lower than the mean of the simulated values. The coefficient of determination for the maximum likelihood estimates was five-fold the corresponding value for the least squares estimates. © INRA, EDP Sciences, 2005.
Note:
Related Files :
Animals
breeding
cattle
dairy cattle
dairy farming
epidemiology
Female
genetic markers
Genetics
Male
phenotype
עוד תגיות
תוכן קשור
More details
DOI :
10.1051/gse:2005013
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
22020
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:48
You may also be interested in
Scientific Publication
Correcting for bias in estimation of quantitative trait loci effects
37
Weller, J.I., Institute of Animal Sciences, ARO, Volcani Center, Bet Dagan 50250, Israel
Shlezinger, M., Institute of Animal Sciences, ARO, Volcani Center, Bet Dagan 50250, Israel
Ron, M., Institute of Animal Sciences, ARO, Volcani Center, Bet Dagan 50250, Israel
Correcting for bias in estimation of quantitative trait loci effects
Estimates of quantitative trait loci (QTL) effects derived from complete genome scans are biased, if no assumptions are made about the distribution of QTL effects. Bias should be reduced if estimates are derived by maximum likelihood, with the QTL effects sampled from a known distribution. The parameters of the distributions of QTL effects for nine economic traits in dairy cattle were estimated from a daughter design analysis of the Israeli Holstein population including 490 marker-by-sire contrasts. A separate gamma distribution was derived for each trait. Estimates for both the α and β parameters and their SE decreased as a function of heritability. The maximum likelihood estimates derived for the individual QTL effects using the gamma distributions for each trait were regressed relative to the least squares estimates, but the regression factor decreased as a function of the least squares estimate. On simulated data, the mean of least squares estimates for effects with nominal 1% significance was more than twice the simulated values, while the mean of the maximum likelihood estimates was slightly lower than the mean of the simulated values. The coefficient of determination for the maximum likelihood estimates was five-fold the corresponding value for the least squares estimates. © INRA, EDP Sciences, 2005.
Scientific Publication
You may also be interested in