@article{FANG2026, 
author = {Kun FANG and Guozhuang LI and Linting WANG and Qing LI and Kexin XU and Lina ZHAO and Zhihong WU and Jianguo ZHANG and Nan WU},
title = {From Gene Expression to Transcriptome-wide Association Study: Development and Comparison of Methodology},
year = {2026},
journal = {Medical Journal of Peking Union Medical College Hospital},
volume = {17},
number = {1},
pages = {223-229},
keywords = {genome-wide association study, transcriptome-wide association study, gene expression, methodology, transcriptome, genome},
url = {https://www.sciopen.com/article/10.12290/xhyxzz.2024-0920},
doi = {10.12290/xhyxzz.2024-0920},
abstract = {Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.}
}