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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Published on: June 21, 2018

eQTLHap: a tool for comprehensive eQTL analysis considering haplotypic and genotypic effects.

Ziad Al Bkhetan¹, Gursharan Chana², Cheng Soon Ong³

¹School of Computing and Information Systems, The University of Melbourne, Parkville, 3010, Australia.

Briefings in Bioinformatics

|April 9, 2021

Summary

This summary is machine-generated.

Phase-aware expression quantitative trait loci (eQTL) analysis using eQTLHap improves detection of genetic associations missed by SNP-based methods. This novel approach is robust to phasing errors and identifies numerous novel eQTLs.

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Area of Science:

Genetics
Bioinformatics
Genomics

Background:

Accurate haplotype phasing is increasingly integrated into genetic studies.
Standard single nucleotide polymorphism (SNP)-based approaches may miss complex genetic associations.

Purpose of the Study:

Introduce eQTLHap, a novel method for phase-aware expression quantitative trait loci (eQTL) analysis.
Evaluate the performance of phase-aware eQTL analysis compared to SNP-based methods.

Main Methods:

Developed eQTLHap, a method considering both haplotypic and genotypic effects for eQTL analysis.
Utilized simulations based on real data to assess method performance.
Applied eQTLHap to GEUVADIS and GTEx datasets.

Main Results:

Phase-aware eQTL analysis significantly outperforms SNP-based methods when multiple SNPs are involved in the causal genetic architecture.
The method demonstrates robustness to phasing errors, with minimal impact on sensitivity (<4%).
eQTLHap identified numerous novel eQTLs in real datasets, with 22 replicating across studies/tissue types.

Conclusions:

Phase-aware eQTL analysis offers a powerful approach to uncover genetic associations missed by conventional methods.
eQTLHap enhances the detection of biologically relevant genetic variants influencing gene expression.
The method's robustness and ability to identify novel associations highlight its utility in genetic investigations.