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Some ways to improve QTL mapping accuracy
Author(s) -
Korol Abraham,
Frenkel Zeev,
Orion Ori,
Ronin Yefim
Publication year - 2012
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2012.02347.x
Subject(s) - quantitative trait locus , family based qtl mapping , inclusive composite interval mapping , biology , pooling , genotyping , trait , computational biology , computer science , genetics , gene mapping , artificial intelligence , genotype , gene , chromosome , programming language
Summary In this paper, we review some approaches for QTL mapping developed by our research group in collaboration with, following the recommendation of, or under inspiration of M oshe S oller. Specifically, we explain at a simple intuitive level the main principles and ideas of: (a) QTL mapping by fractioned DNA pooling, (b) increasing the detection power of QTL mapping (in the case of individual genotyping) by multiple‐trait analysis, and (c) the role of variance–covariance effects in QTL mapping. On each of these themes we had long and deep discussions with S oller on the statistical aspects of the proposed procedures. We hope that together we made important contributions towards making QTL mapping procedures easier and more effective.