Mapping and analysis of quantitative trait loci in experimental populations

被引：476

作者：

Doerge, RW ^{[1
]}

机构：

[1] Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA

[2] Purdue Univ, Dept Agron & Computat Genomics, W Lafayette, IN 47907 USA

来源：

NATURE REVIEWS GENETICS | 2002年 / 3卷 / 01期

关键词：

D O I：

10.1038/nrg703

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Simple statistical methods for the study of quantitative trait loci (QTL), such as analysis of variance, have given way to methods that involve several markers and high-resolution genetic maps. As a result, the mapping community has been provided with statistical and computational tools that have much greater power than ever before for studying and locating multiple and interacting QTL. Apart from their immediate practical applications, the lessons learnt from this evolution of QTL methodology might also be generally relevant to other types of functional genomics approach that are aimed at the dissection of complex phenotypes, such as microarray assessment of gene expression.

引用

页码：43 / 52

页数：10

共 101 条

[1]

BAILEY DW, 1961, MATH THEORY GENETIC

[2]

Baker J. E., 1987, P 2 INT C GEN ALG, P14, DOI DOI 10.1007/S10489-006-0018-Y

[3] DETECTION OF LINKAGE BETWEEN MARKER LOCI AND LOCI AFFECTING QUANTITATIVE TRAITS IN CROSSES BETWEEN SEGREGATING POPULATIONS [J].