Multiple locus linkage analysis of genomewide expression in yeast.

ABSTRACT: With the ability to measure thousands of related phenotypes from a single biological sample, it is now feasible to genetically dissect systems-level biological phenomena. The genetics of transcriptional regulation and protein abundance are likely to be complex, meaning that genetic variation at multiple loci will influence these phenotypes. Several recent studies have investigated the role of genetic variation in transcription by applying traditional linkage analysis methods to genomewide expression data, where each gene expression level was treated as a quantitative trait and analyzed separately from one another. Here, we develop a new, computationally efficient method for simultaneously mapping multiple gene expression quantitative trait loci that directly uses all of the available data.

SUBMITTER: Storey JD 

PROVIDER: S-EPMC1180512 | biostudies-literature | 2005 Aug

REPOSITORIES: biostudies-literature