Introductory Methods for eQTL Analyses -- Performing QTL and eQTL Analyses with the R-package GenomicTools -- eQTL Mapping using Transcription Factor Affinity -- Identification and Quantification of Splicing Quantitative Trait Loci -- Genome-wide Composite Interval Mapping (GCIM) of Expressional Quantitative Trait Loci in Backcross Population -- Combining eQTL and SNP Annotation Data to Identify Functional Noncoding SNPs in GWAS Trait-associated Regions -- Statistical and Machine Learning Methods for eQTL Analysis -- Sparse Regression Models for Unraveling Group and Individual Associations in eQTL Mapping -- Exploring Bayesian Approaches to eQTL Mapping through Probabilistic Programming -- High-order Association Mapping for Expression Quantitative Trait Loci -- Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis -- Sparse Partial Least Squares Methods for Joint Modular Pattern Discovery -- Expression Quantitative Trait Loci (eQTL) Analysis in Cancer -- QTL Analysis Beyond eQTLs -- Quantitative Trait Loci (QTL) Mapping -- Expression Quantitative Trait Loci Analysis in Multiple Tissues -- Tissue Specific eQTL in Zebrafish. .

This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field. .