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eCAVIAR

Definition
AI-generated

eCAVIAR is a statistical framework and software for colocalization analysis that uses association summary data and accounts for multiple causal variants in a region when evaluating whether two traits (e.g. a GWAS phenotype and an eQTL) share underlying causal variants.

Topics
Post-GWAS
Related
Colocalization Expression Quantitative Trait Locus (eQTL) Fine-Mapping

Why it matters in GWAS

Alongside coloc and related tests, eCAVIAR is a standard option in supplementary methods when researchers ask whether regulatory evidence and disease association point to the same causal variant(s) at a locus rather than distinct signals in LD.

Example usage

"We ran eCAVIAR on GWAS and GTEx liver eQTL summary statistics for genes within 1 Mb of the lead SNP."

Colocalization Expression Quantitative Trait Locus (eQTL) Fine-Mapping Linkage Disequilibrium (LD)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Hormozdiari F, et al. (2016). Colocalization of GWAS and eQTL signals detects target genes. Am J Hum Genet.
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