Single- and Multiple-Trait Mapping Analysis of Linked Quantitative Trait Loci: Some Asymptotic Analytical Approximations | Zendy

Yefim Ronin | Zendy; Abraham B. Korol | Zendy; Eviatar Nevo | Zendy

Open Access

Single- and Multiple-Trait Mapping Analysis of Linked Quantitative Trait Loci: Some Asymptotic Analytical Approximations

Author(s) -

Yefim Ronin,

Abraham B. Korol,

Eviatar Nevo

Publication year - 1999

Publication title -

genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.792

H-Index - 246

eISSN - 1943-2631

pISSN - 0016-6731

DOI - 10.1093/genetics/151.1.387

Subject(s) - quantitative trait locus , inclusive composite interval mapping , epistasis , family based qtl mapping , monte carlo method , biology , trait , genetics , quantitative genetics , residual , statistics , computational biology , mathematics , statistical physics , gene mapping , computer science , algorithm , physics , gene , genetic variation , chromosome , programming language

Estimating the resolution power of mapping analysis of linked quantitative trait loci (QTL) remains a difficult problem, which has been previously addressed mainly by Monte Carlo simulations. The analytical method of evaluation of the expected LOD developed in this article spreads the “deterministic sampling approach for the case of two linked QTL for single- and two-trait analysis. Several complicated questions are addressed through this evaluation: the dependence of QTL detection power on the QTL effects, residual correlation between the traits, and the effect of epistatic interaction between the QTL for one or both traits on expected LOD (ELOD), etc. Although this method gives only an asymptotic estimation of ELOD, it allows one to get an approximate assessment of a broad spectrum of mapping situations. A good correspondence was found between the ELODs predicted by the model and LOD values averaged over Monte Carlo simulations.

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