Program Snapshot

The Common Fund's Genotype-Tissue Expression (GTEx) program is providing valuable insights into the mechanisms of gene regulation by studying human gene expression and regulation in multiple tissues from health individuals; exploring disease-related perturbations in a variety of human diseases; and examining sexual dimorphisms in gene expression and regulation in multiple tissues. Genetic variation between individuals – underlying the many differences in gene expression – will be examined for correlation with differences in gene expression level to identify regions of the genome that influence whether and how much a gene is expressed. Identifying unique genomic variations associated with gene expression is expected to stimulate research towards understanding the genetic basis of complex diseases.

The GTEx project includes the following initiatives:

  • Online data resource (GTEx Portal) for storing, cataloging, searching, and sharing aggregated level data
  • Novel Statistical Methods for Human Gene Expression Quantitative Trait Loci (eQTL) Analysis
  • Laboratory, Data Analysis, and Coordinating Center (LDACC) for acquiring and analyzing DNA and RNA from multiple human tissues
  • Enhanced GTEx projects: including additional dimensions beyond gene expression to the GTEx data

Correlations between genotype and tissue-specific gene expression levels


The GTEx (Genotype-Tissue Expression) Project


Correlations between genotype and tissue-specific gene expression levels will help identify regions of the genome that influence whether and how much a gene is expressed.Top: DNA and RNA is collected and analyzed from multiple tissues. Each donor has different genetic variants. In this example they are G/G, A/G, and A/A. Middle: Gene expression levels (RNA) are measured in each tissue from each individual and correlated with that individual’s genotype. Each donor has different gene expression (RNA) levels. In this example donor 1 has the highest while donor 3 has the lowest RNA levels in brain. Donor 2 is in the middle. RNA expression levels are treated as quantitative traits or expression quantitative trait loci (eQTLs). When eQTLs are correlated with genetic variation new genetic variants associated with, and potentially causal to, gene expression are discovered. In this example the genetic variant G/G is associated with high gene expression in brain while the genetic variant A/A is associated with low gene expression in brain. The genetic variant A/G is associated with intermediate gene expression in brain. When eQTLs between healthy and unhealthy individuals are compared, novel genes contributing to disease can be discovered. Bottom: The eQTL data and the donor tissues are deposited in the GTEx Portal and tissue repository for use by the scientific community.


This page last reviewed on May 19, 2017