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פותח על ידי קלירמאש פתרונות בע"מ -
Estimating variance effect of QTL: An important prospect to increase the resolution power of interval mapping
Year:
1996
Source of publication :
Genetical Research
Authors :
תדמור, יעקב
;
.
Volume :
67
Co-Authors:
Korol, A.B., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Ronin, Y.I., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Tadmor, Y., Corn Breeding Unit, Neve Yaar Research Center ARO, P.O B, 90000, Haifa 31900, Israel
Bar-Zur, A., Corn Breeding Unit, Neve Yaar Research Center ARO, P.O B, 90000, Haifa 31900, Israel
Kirzhner, V.M., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Nevo, E., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Facilitators :
From page:
187
To page:
194
(
Total pages:
8
)
Abstract:
Equal variances within quantitative trait locus (QTL) groups in the segregating population are a usual simplifying assumption in QTL mapping. The objective of this paper is to demonstrate the advantages of taking into account potential variance effect of QTLs within the framework of standard interval mapping approach. Using backcross case as an example, we show that the resolution power of the analysis may be increased in the presence of variance effect, if the latter is allowed for in the model. For a putative QTL (say, A/a) one can compare two situations, (i)σ(Aa)2 = σ(aa)2 = σ0 2 and (ii) σ(Aa)2 ≠ σ(aa)2. It was found that, if the variance effect of A/a is large enough, then in spite of the necessity to evaluate an increased number of parameters, the more correctly specified model provides an increase in the resolution power, as compared to the situation (i). This is not unexpected if either σ(Aa)2 or σ(aa)2 in (ii) is lower than σ0 2 from (i). But our conclusion holds even if σ(Aa)2 > σ(aa)2 = σ0 2 > σ(Aa)2 = σ0 2. These advantages are illustrated on sweet corn data (F3 families of F2 genotypes). In particular, the log-likelihood test statistics and the parameter estimates obtained for a QT locus in the distal region of chromosome 2 show that the allele enhancing the trait is recessive over the opposite allele simultaneously for the mean value and variance.
Note:
Related Files :
article
gene mapping
gene segregation
mathematical genetics
nonhuman
population genetics
quantitative trait
variance
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
24578
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:08
You may also be interested in
Scientific Publication
Estimating variance effect of QTL: An important prospect to increase the resolution power of interval mapping
67
Korol, A.B., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Ronin, Y.I., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Tadmor, Y., Corn Breeding Unit, Neve Yaar Research Center ARO, P.O B, 90000, Haifa 31900, Israel
Bar-Zur, A., Corn Breeding Unit, Neve Yaar Research Center ARO, P.O B, 90000, Haifa 31900, Israel
Kirzhner, V.M., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Nevo, E., Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel
Estimating variance effect of QTL: An important prospect to increase the resolution power of interval mapping
Equal variances within quantitative trait locus (QTL) groups in the segregating population are a usual simplifying assumption in QTL mapping. The objective of this paper is to demonstrate the advantages of taking into account potential variance effect of QTLs within the framework of standard interval mapping approach. Using backcross case as an example, we show that the resolution power of the analysis may be increased in the presence of variance effect, if the latter is allowed for in the model. For a putative QTL (say, A/a) one can compare two situations, (i)σ(Aa)2 = σ(aa)2 = σ0 2 and (ii) σ(Aa)2 ≠ σ(aa)2. It was found that, if the variance effect of A/a is large enough, then in spite of the necessity to evaluate an increased number of parameters, the more correctly specified model provides an increase in the resolution power, as compared to the situation (i). This is not unexpected if either σ(Aa)2 or σ(aa)2 in (ii) is lower than σ0 2 from (i). But our conclusion holds even if σ(Aa)2 > σ(aa)2 = σ0 2 > σ(Aa)2 = σ0 2. These advantages are illustrated on sweet corn data (F3 families of F2 genotypes). In particular, the log-likelihood test statistics and the parameter estimates obtained for a QT locus in the distal region of chromosome 2 show that the allele enhancing the trait is recessive over the opposite allele simultaneously for the mean value and variance.
Scientific Publication
You may also be interested in