Controlling for False Positive Findings of Trans-Hubs in e-QTL Mapping
نویسندگان
چکیده
In the fast developing field of expression quantitative traits loci (eQTL) studies, great interests have been concentrated on detecting genomic regions containing transcriptional regulators that influence multiple expression phenotypes (trans-hubs). In this paper, we develop statistical methods for e-QTL mapping and propose a new procedure for investigating candidate trans-hubs. We use data from the Genetic Analysis Workshop 15 to illustrate our methods. After correlations among expressions were accounted for, the previously detected trans-hubs are no longer significant. Our results suggest that conclusions on regulation hot spots should be treated with great caution.
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Controlling for false positive findings of trans-hubs in expression quantitative trait loci mapping
In the fast-developing field of expression quantitative traits loci (eQTL) studies, much interest has been concentrated on detecting genomic regions containing transcriptional regulators that influence multiple expression phenotypes (trans-hubs). In this paper, we develop statistical methods for eQTL mapping and propose a new procedure for investigating candidate trans-hubs. We use data from th...
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تاریخ انتشار 2007