eQTLHap
eQTLHap performs haplotype-based eQTL analysis to detect gene expression associations driven by multi-SNP haplotype blocks using phased genotype data.
Key Features:
- Haplotype-Based Approach: Utilizes haplotype blocks for eQTL analysis to detect complex genetic associations involving multiple SNPs within a block that are often missed by single-SNP methods.
- Enhanced Detection Power: Demonstrates superior performance in simulation studies compared to typical SNP-based eQTL methodologies, especially when the causal architecture involves multiple SNPs.
- Robustness to Phasing Errors: Maintains high sensitivity with minimal influence from phasing errors (less than 4%).
Scientific Applications:
- GEUVADIS and GTEx analysis: Applied to GEUVADIS and GTEx datasets to identify 22 gene expression associations not detectable by single-SNP approaches, with replication in larger studies or across tissues.
Methodology:
Uses phased genotypes from haplotype phasing tools to construct haplotype blocks for association testing and evaluates performance via simulation studies.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 3/8/2021
Operations
Publications
Bkhetan ZA, Chana G, Ong CS, Goudey B, Ramamohanarao K. A novel haplotype-based eQTL approach identifies genetic associations not detected through conventional SNP-based methods. Unknown Journal. 2020. doi:10.1101/2020.07.23.206391.