Statistical analysis of gene expression quantitative trait loci (eQTL)

描述（由申请人提供）： 在这个项目中，我们建议开发的微阵列和RNA测序数据的分析表达QTL定位的统计方法。我们的项目旨在解决一些重要的方法学问题，特别是与即将进行的GTEx研究有关。我们建议扩展贝叶斯分层模型的顺式eQTL定位，使同时映射在多个组织，并提高外部生物信息的使用。我们还建议开发方法，以允许更灵敏地检测与网络或模块的共调控基因相关的反式作用eQTL。最后，我们的目标是开发方法，估计转录本丰度的RNA测序数据，用于QTL定位。 公共卫生相关性： 本项目的目的是开发新的工具来分析和解释eQTL（expression quantitative trait loci）研究。我们将开发用于基于微阵列和基于RNA序列的基因表达测量的分析工具。

DESCRIPTION (provided by applicant): In this project we propose to develop statistical methods for the analysis of microarray and RNA-sequencing data for expression QTL mapping. Our project is designed to address a number of important methodological issues, with particular relevance to the forthcoming GTEx study. We propose to extend a Bayesian hierarchical model for cis-eQTL mapping to enable simultaneous mapping in multiple tissues, and to improve the use of external biological information. We also propose to develop methods to allow more sensitive detection of trans-acting eQTLs that are correlated with networks or modules of co-regulated genes. Finally, we aim to develop methods for estimating transcript abundances from RNA sequencing data, for use in QTL mapping. PUBLIC HEALTH RELEVANCE: The purpose of this project is to develop new tools for analyzing and interpreting eQTL (expression quantitative trait loci) studies. We will develop analytical tools for both microarray-based and RNA-sequence-based measurements of gene expression.