Multi-interval mapping of correlated trait complexes

A. B. Korol; Y. I. Ronin; E. Nevo; P. M. Hayes

doi:10.1046/j.1365-2540.1998.00253.x

Multi-interval mapping of correlated trait complexes

A. B. Korol, Y. I. Ronin, E. Nevo, P. M. Hayes

Department of Evolutionary and Environmental Biology

Research output: Contribution to journal › Article › peer-review

Abstract

Employing Monte Carlo simulations, we demonstrate the advantages of multitrait analysis in detection of linked QTL effects within the framework of mixture models. In spite of an increased number of parameters to be estimated, compared to the single-trait formulation, the proposed method allows for an improvement of detection power and estimation precision of linked QTLs in both adjacent or nonadjacent intervals, with coupling and repulsion effects. The results obtained are illustrated by examples based on data of the North American Barley Genome Mapping Project.

Original language	English
Pages (from-to)	273-284
Number of pages	12
Journal	Heredity
Volume	80
Issue number	3
DOIs	https://doi.org/10.1046/j.1365-2540.1998.00253.x
State	Published - Mar 1998

Bibliographical note

Funding Information:
We acknowledge with thanks the comments and suggestions of two anonymous referees. The work was supported by the Israeli Ministry of Absorption and the Ancell-Teicher Research foundation for Genetics and Molecular Evolution.

Keywords

Correlation
LOD-score
Linked QTLs
Maximum likelihood
Multiple traits

ASJC Scopus subject areas

Genetics
Genetics(clinical)

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10.1046/j.1365-2540.1998.00253.x

Cite this

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title = "Multi-interval mapping of correlated trait complexes",

abstract = "Employing Monte Carlo simulations, we demonstrate the advantages of multitrait analysis in detection of linked QTL effects within the framework of mixture models. In spite of an increased number of parameters to be estimated, compared to the single-trait formulation, the proposed method allows for an improvement of detection power and estimation precision of linked QTLs in both adjacent or nonadjacent intervals, with coupling and repulsion effects. The results obtained are illustrated by examples based on data of the North American Barley Genome Mapping Project.",

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language = "English",

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AU - Korol, A. B.

AU - Ronin, Y. I.

AU - Nevo, E.

AU - Hayes, P. M.

N1 - Funding Information: We acknowledge with thanks the comments and suggestions of two anonymous referees. The work was supported by the Israeli Ministry of Absorption and the Ancell-Teicher Research foundation for Genetics and Molecular Evolution.

PY - 1998/3

Y1 - 1998/3

N2 - Employing Monte Carlo simulations, we demonstrate the advantages of multitrait analysis in detection of linked QTL effects within the framework of mixture models. In spite of an increased number of parameters to be estimated, compared to the single-trait formulation, the proposed method allows for an improvement of detection power and estimation precision of linked QTLs in both adjacent or nonadjacent intervals, with coupling and repulsion effects. The results obtained are illustrated by examples based on data of the North American Barley Genome Mapping Project.

AB - Employing Monte Carlo simulations, we demonstrate the advantages of multitrait analysis in detection of linked QTL effects within the framework of mixture models. In spite of an increased number of parameters to be estimated, compared to the single-trait formulation, the proposed method allows for an improvement of detection power and estimation precision of linked QTLs in both adjacent or nonadjacent intervals, with coupling and repulsion effects. The results obtained are illustrated by examples based on data of the North American Barley Genome Mapping Project.

KW - Correlation

KW - LOD-score

KW - Linked QTLs

KW - Maximum likelihood

KW - Multiple traits

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DO - 10.1046/j.1365-2540.1998.00253.x

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SN - 0018-067X

VL - 80

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EP - 284

JO - Heredity

JF - Heredity

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ER -

Multi-interval mapping of correlated trait complexes

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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