eQTL analysis: A bridge from genome to mechanism.

Area of Science:

• Genomics
• Systems Biology
• Genetic Epidemiology

Background:

• Expression quantitative trait loci (eQTLs) are genetic variations influencing gene expression.
• eQTL analysis is crucial for deciphering the genetic basis of complex traits and diseases.
• eQTLs have been identified across various tissues and single cells.

Purpose of the Study:

• To provide a comprehensive review of expression quantitative trait loci (eQTLs).
• To cover eQTL identification methods, analysis tools, and data resources.
• To discuss the role of eQTLs in disease mechanisms and future research directions.

Main Methods:

• Literature review of eQTL identification and analysis methodologies.
• Synthesis of current research progress in the field of eQTLs.
• Exploration of eQTL data integration with other omics datasets.

Main Results:

• eQTLs provide insights into gene regulation and the genetic architecture of diseases.
• Integration of eQTLs with multi-omics data facilitates the discovery of novel susceptibility genes.
• eQTL studies have advanced our understanding of trait-associated genetic variations.

Conclusions:

• eQTLs are fundamental for understanding gene expression regulation and its link to complex traits.
• The integration of eQTL data with other omics data holds significant potential for future discoveries.
• Future research should focus on addressing challenges and expanding the application of eQTL analysis in various biological contexts.