# TreeQTL: hierarchical error control for eQTL findings

**Authors:** Christine Peterson, Marina Bogomolov, Yoav Benjamini, Chiara Sabatti

bioRxiv · DOI: 10.1101/021170 · bioRxiv · 2015-01-01

## TL;DR

TreeQTL improves error control in eQTL studies by using a hierarchical testing approach.

## Contribution

TreeQTL introduces a novel hierarchical error control method for eQTL analysis.

## Key findings

- TreeQTL provides better error rate control compared to traditional methods.
- The hierarchical approach improves the reliability of eQTL findings.

## Abstract

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.

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

sabatti@stanford.edu

## Full text

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## Figures

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## References

14 references — full list in the complete paper: https://tomesphere.com/paper/10.1101/021170/full.md

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Source: https://tomesphere.com/paper/10.1101/021170