LDexpress

LDexpress maps population-specific linkage disequilibrium from the 1000 Genomes Project to tissue-specific gene expression from GTEx to connect GWAS-identified germline variants with nearby gene expression and nominate candidate genes.


Key Features:

  • Integration of Diverse Data Sources: Combines population-specific LD data from the 1000 Genomes Project with tissue-specific expression profiles from GTEx to link germline variation to nearby gene expression.
  • Population-specific LD Analysis: Uses population-specific LD patterns to account for genetic diversity across different 1000 Genomes populations when mapping variants to genes.
  • Tissue-specific Expression Context: Incorporates GTEx tissue-specific expression data to provide context-dependent insights into gene regulation.
  • Support for Multiple Query Variants: Enables analysis of multiple query variants simultaneously for large-scale variant interrogation.
  • Candidate Gene Nomination: Maps regional germline variation to changes in nearby gene expression to nominate candidate genes for functional follow-up.

Scientific Applications:

  • Cancer Research: Facilitates interpretation of GWAS loci in cancer by linking germline variants to tissue-specific gene expression.
  • GWAS Follow-up and Interpretation: Supports post-GWAS analyses to identify candidate genes underlying association signals.
  • Study of Genetic Architecture of Complex Traits: Enables investigation of how regional germline variation influences nearby gene expression across tissues and populations.

Methodology:

Mapping germline variations identified in GWAS to nearby gene expression; utilizing population-specific LD data from the 1000 Genomes Project; and incorporating tissue-specific expression data from GTEx.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
5/24/2022
Last Updated:
5/24/2022

Operations

Publications

Lin S, Thakur R, Machiela MJ. LDexpress: an online tool for integrating population-specific linkage disequilibrium patterns with tissue-specific expression data. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04531-8. PMID:34930111. PMCID:PMC8686638.