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Review Article | Open Access

eQTL analysis: A bridge from genome to mechanism

Zhe Jiaa,cJing Xua,cYingnan Maa,cSiyu Weia,cChen SunaXingyu ChenaJingxuan KangaHaiyan ChenaChen ZhangaYu DongaJunxian TaoaXuying GuoaHongchao LvaGuoping Tangb( )Yongshuai Jianga( )Mingming Zhanga( )
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China
Department of Medical Engineering, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China

c These authors contributed equally to this work.

Peer review under the responsibility of Chongqing Medical University.

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Abstract

Expression quantitative trait locus (eQTL) refers to a genetic variation associated with the expression of specific genes. It has been widely applied to explain the regulatory mechanisms linking genetic variations to complex traits or diseases. Several eQTLs have been identified from tissues and single cells in individuals. Furthermore, the integration of eQTL and other omics data can be used to detect novel susceptibility genes and consequently understand the dynamic regulation of trait-associated genetic variations at the system level. Here, we review the identification methods, analysis tools, research progress, and common data resources of eQTLs, as well as their role in four typical diseases. Finally, we discussed the application fields, challenges, and future development perspectives of eQTL.

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Cite this article:
Jia Z, Xu J, Ma Y, et al. eQTL analysis: A bridge from genome to mechanism. Genes & Diseases, 2026, 13(3). https://doi.org/10.1016/j.gendis.2025.101850

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Received: 27 December 2023
Revised: 06 May 2025
Accepted: 18 June 2025
Published: 17 September 2025
© 2025 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).