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
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
收藏
页码:43 / 52
页数:10
相关论文
共 101 条
[11]   HYPOTHESIS TESTING WHEN A NUISANCE PARAMETER IS PRESENT ONLY UNDER ALTERNATIVE [J].
DAVIES, RB .
BIOMETRIKA, 1977, 64 (02) :247-254
[12]   HYPOTHESIS-TESTING WHEN A NUISANCE PARAMETER IS PRESENT ONLY UNDER THE ALTERNATIVE [J].
DAVIES, RB .
BIOMETRIKA, 1987, 74 (01) :33-43
[13]   Model selection for quantitative trait locus analysis in polyploids [J].
Doerge, RW ;
Craig, BA .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (14) :7951-7956
[14]  
Doerge RW, 1997, STAT SCI, V12, P195
[15]   Significance thresholds for QTL interval mapping tests [J].
Doerge, RW ;
Rebai, A .
HEREDITY, 1996, 76 :459-464
[16]  
DOERGE RW, 1993, THESIS N CAROLINA ST
[17]  
DUDOIT S, 2000, 578 STANF U
[18]  
DUPUIS J, 1994, THESIS STANFORD U US
[19]  
EDWARDS MD, 1987, GENETICS, V116, P113
[20]  
Efron B., 1993, INTRO BOOTSTRAP, DOI 10.1007/978-1-4899-4541-9