Open AccessMulti‐interval mapping of correlated trait complexes
Author(s) -
Abraham Korol,
Yefim Ronin,
Eviatar Nevo,
Patrick Hayes
Publication year - 1998
Publication title -
heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.441
H-Index - 118
eISSN - 1365-2540
pISSN - 0018-067X
DOI - 10.1046/j.1365-2540.1998.00253.x
Subject(s) - quantitative trait locus , trait , biology , monte carlo method , interval (graph theory) , coupling (piping) , computational biology , statistics , confidence interval , statistical power , genome , genome wide association study , statistical physics , genetics , biological system , evolutionary biology , mathematics , computer science , physics , single nucleotide polymorphism , gene , materials science , combinatorics , programming language , genotype , metallurgy
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.