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TreeQTL: hierarchical error control for eQTL findings

Christine Peterson, Marina Bogomolov, Yoav Benjamini, Chiara Sabatti
doi: https://doi.org/10.1101/021170
Christine Peterson
1Department of Health Research and Policy, Stanford University, Stanford, CA 94305, U.S.A.
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Marina Bogomolov
2Faculty of Industrial Engineering and Management, Technion, Haifa, 32000, Israel.
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Yoav Benjamini
3Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, 69978, Israel.
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Chiara Sabatti
4Departments of Health Research and Policy and Statistics, Stanford University, Stanford, CA 94305, U.S.A.
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Abstract

Summary Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a stage-wise multiple testing procedure which allows control of appropriate error rates defined relative to a hierarchical grouping of the eQTL hypotheses.

Availability and Implementation The R package TreeQTL is available for download at http://bioinformatics.org/treeqtl.

Contact sabatti{at}stanford.edu

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 07, 2015.
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TreeQTL: hierarchical error control for eQTL findings
Christine Peterson, Marina Bogomolov, Yoav Benjamini, Chiara Sabatti
bioRxiv 021170; doi: https://doi.org/10.1101/021170
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TreeQTL: hierarchical error control for eQTL findings
Christine Peterson, Marina Bogomolov, Yoav Benjamini, Chiara Sabatti
bioRxiv 021170; doi: https://doi.org/10.1101/021170

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