Optimal Design of Genetic Studies of Gene Expression With Two-Color Microarrays in Outbred Crosses

被引:3
|
作者
Lam, Alex C. [2 ,3 ,4 ]
Fu, Jingyuan [1 ]
Jansen, Ritsert C. [1 ]
Haley, Chris S. [3 ,4 ]
de Koning, Dirk-Jan [3 ,4 ]
机构
[1] Univ Groningen, Groningen Biomol Sci & Biotechnol Inst, Groningen Bioinformat Ctr, NL-9751 NN Haren, Netherlands
[2] Univ Edinburgh, Sch Biol Sci, Inst Evolutionary Biol, Edinburgh EH9 3JT, Midlothian, Scotland
[3] Univ Edinburgh, Royal Dick Sch Vet Studies, Roslin Bioctr, Roslin EH25 9PS, Midlothian, Scotland
[4] Roslin Inst Edinburgh, Roslin EH25 9PS, Midlothian, Scotland
基金
英国生物技术与生命科学研究理事会;
关键词
D O I
10.1534/genetics.108.090308
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Combining global gene-expression profiling and genetic analysis of natural allelic variation (genetical genomics) has great potential in dissecting the genetic pathways underlying complex phenotypes. Efficient use of microarrays is paramount in experimental design as the cost. of conducting this type of study is high. For those organisms where recombinant inbred lines are available for mapping, the "distant pair design" maximizes the number of informative contrasts over all marker loci. Here, we describe an extension of this design, named the "optimal pair design," for rise with F-2 crosses between outbred lines. The performance of this design is investigated by simulation and compared to several other two-color microarray designs. We show that, for a given number of microarrays, the optimal pair design outperforms all other designs considered for detection of expression quantitative trait loci (eQTL) with additive effects by linkage analysis. We also discuss the suitability of this design for outbred crosses in organisms with large genomes and for detection of dominance.
引用
收藏
页码:1691 / 1698
页数:8
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