Article

Multi-tissue polygenic models for transcriptome-wide association studies

2017-02-10

Abstract excerpt

I. <h4>ABSTRACT</h4> Transcriptome-wide association studies (TWAS) have proven to be a powerful tool to identify genes associated with human diseases by aggregating cis-regulatory effects on gene expression. However, TWAS relies on building predictive models of gene expression, which are sensitive to the sample size and tissue on which they are trained. The Gene Tissue Expression Project has produced reference tr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 04a9b5cb-fe24-5ed2-a0b8-a78ebb29b70f
DOI: 10.1101/107623

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-tissue polygenic models for transcriptome-wide association studiesDOI 10.1101/107623Read

Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits.Semantic proximity Read

HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues.Semantic proximity Read

Mechanisms of tissue-specific genetic regulation revealed by latent factors across eQTLsSemantic proximity Read

A general framework for predicting the transcriptomic consequences of non-coding variationSemantic proximity Read

Expression based polygenic scores - A gene network perspective to capture individual differences in biological processesSemantic proximity Read

Local genetic effects on gene expression across 44 human tissuesSemantic proximity Read

Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation.Semantic proximity Read

Partitioning and aggregating cross-tissue and tissue-specific genetic effects in identifying gene-trait associationsSemantic proximity Read

Exploiting expression patterns across multiple tissues to map expression quantitative trait loci.Semantic proximity Read

Types of cis- and trans-gene regulation of expression quantitative trait loci across human tissuesSemantic proximity Read

Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks.Semantic proximity Read

mFABIO: An integrative multi-tissue TWAS fine-mapping approach to prioritize potentially causal genes and tissues underlying binary traits.Semantic proximity Read