RACER: A data visualization strategy for exploring multiple genetic associations

Abstract excerpt

<h4>Summary</h4> Genome-wide association studies (GWASs) have identified thousands of loci associated with risk of various diseases; however, the genes responsible for the majority of loci have not been identified. One means of uncovering potential causal genes is the identification of expression quantitative trait loci (eQTL) that colocalize with disease loci. Statistical methods have been developed to assess th...

Topics

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• Computer Graphics
• Gene Expression
• Gene Regulatory Networks
• Genetic Association Studies
• Genetic Variation
• Polymorphism, Single Nucleotide
• Quantitative Trait Loci
• Software

Identifiers and source

Literature Corpus work

4fcdb576-8c05-55cb-b6e5-c42b87c6299d

DOI

10.1101/495366