S 1 for “ A statistical framework for joint eQTL analysis in multiple tissues ”
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چکیده
3 Supplements for the analysis of the Dimas et al. data set 5 3.1 Choice of the grid for the average effect size . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.2 Hierarchical model fed with Bayes Factors from residuals . . . . . . . . . . . . . . . . . . 6 3.3 Configuration proportions from all genes without removing expression PCs . . . . . . . . 7 3.4 Running times . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
منابع مشابه
A Statistical Framework for Joint eQTL Analysis in Multiple Tissues
Mapping expression Quantitative Trait Loci (eQTLs) represents a powerful and widely adopted approach to identifying putative regulatory variants and linking them to specific genes. Up to now eQTL studies have been conducted in a relatively narrow range of tissues or cell types. However, understanding the biology of organismal phenotypes will involve understanding regulation in multiple tissues,...
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The majority of expression quantitative trait locus (eQTL) studies have been carried out in single tissues or cell types, using methods that ignore information shared across tissues. Although global analysis of RNA expression in multiple tissues is now feasible, few integrated statistical frameworks for joint analysis of gene expression across tissues combined with simultaneous analysis of mult...
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Mapping expression quantitative trait loci (eQTLs) has been shown as a powerful tool to uncover the genetic underpinnings of many complex traits at molecular level. In this paper, we present an integrative analysis approach that leverages eQTL data collected from multiple population groups. In particular, our approach effectively identifies multiple independent cis-eQTL signals that are consist...
متن کاملA statistical framework for eQTL mapping using RNA-seq data.
RNA-seq may replace gene expression microarrays in the near future. Using RNA-seq, the expression of a gene can be estimated using the total number of sequence reads mapped to that gene, known as the total read count (TReC). Traditional expression quantitative trait locus (eQTL) mapping methods, such as linear regression, can be applied to TReC measurements after they are properly normalized. I...
متن کاملGenome analysis JEPEGMIX2: improved gene-level joint analysis of eQTLs in cosmopolitan cohorts
Motivation: To increase detection power, researchers use gene level analysis methods to aggregate weak marker signals. Due to gene expression controlling biological processes, researchers proposed aggregating signals for expression Quantitative Trait Loci (eQTL). Most gene-level eQTL methods make statistical inferences based on (i) summary statistics from genome-wide association studies (GWAS) ...
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تاریخ انتشار 2013