Genetic interactions between polymorphisms that affect gene expression in yeast

被引:240
作者
Brem, RB
Storey, JD
Whittle, J
Kruglyak, L
机构
[1] Fred Hutchinson Canc Res Ctr, Program Computat Biol, Seattle, WA 98109 USA
[2] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[3] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[4] Infect Dis Res Inst, Seattle, WA 98104 USA
[5] Princeton Univ, Lewis Sigler Inst Integrat Genom, Princeton, NJ 08544 USA
[6] Princeton Univ, Dept Ecol & Evolutionary Biol, Carl Icahn Lab, Princeton, NJ 08544 USA
关键词
D O I
10.1038/nature03865
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Interactions between polymorphisms at different quantitative trait loci (QTLs) are thought to contribute to the genetics of many traits, and can markedly affect the power of genetic studies to detect QTLs(1). Interacting loci have been identified in many organisms(1-5). However, the prevalence of interactions(6-8), and the nucleotide changes underlying them(9,10), are largely unknown. Here we search for naturally occurring genetic interactions in a large set of quantitative phenotypes - the levels of all transcripts in a cross between two strains of Saccharomyces cerevisiae(7). For each transcript, we searched for secondary loci interacting with primary QTLs detected by their individual effects. Such locus pairs were estimated to be involved in the inheritance of 57% of transcripts; statistically significant pairs were identified for 225 transcripts. Among these, 67% of secondary loci had individual effects too small to be significant in a genome-wide scan. Engineered polymorphisms in isogenic strains confirmed an interaction between the mating-type locus MAT and the pheromone response gene GPA1. Our results indicate that genetic interactions are widespread in the genetics of transcript levels, and that many QTLs will be missed by single-locus tests but can be detected by two-stage tests that allow for interactions.
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页码:701 / 703
页数:3
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