多组学介导的广泛关联研究:了解疾病的新方法。

Mengting Shao, Kaiyang Chen, Shuting Zhang, Min Tian, Yan Shen, Chen Cao, Ning Gu
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引用次数: 0

摘要

多组学(转录组、蛋白质组、表位组、成像和调控组)介导的广泛关联研究方法的快速发展为生物学家了解复杂疾病的易感基因开辟了新途径。要为特定的研究目标选择最合适的工具,就必须对这些方法进行全面比较。本综述对近期多组学介导的广泛关联研究的统计模型、用例和优势进行了详细分类和总结。此外,为了说明基于转录组范围关联研究(TWAS)的基因-疾病关联研究,我们从 235 篇人工审阅的出版物中收集了 22 个类别的 478 个疾病条目。我们的分析表明,精神疾病是最常被 TWAS 研究的疾病,这表明 TWAS 有可能加深我们对复杂疾病基因结构的了解。总之,本综述强调了多组学介导的广泛关联研究在阐明复杂疾病方面的重要性,并强调了为每项研究选择适当方法的重要性。
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Multi-omics Mediated Wide Association Studies: Novel Approaches for Understanding Diseases.

The rapid development of multi-omics (transcriptome, proteome, cistrome, imaging, and regulome) mediated wide association studies methods have opened new avenues for biologists to understand the susceptibility genes underlying complex diseases. Thorough comparisons of these methods are essential for selecting the most appropriate tool for a given research objective. This review provides a detailed categorization and summary of the statistical models, use cases, and advantages of recent multi-omics mediated wide association studies. In addition, to illustrate gene-disease association studies based on transcriptome-wide association studies (TWAS), we collected 478 disease entries across 22 categories from 235 manually reviewed publications. Our analysis reveals that mental disorders are the most frequently studied by TWAS, indicating its potential to deepen our understanding of the genetic architecture of complex diseases. In summary, this review underscores the importance of multi-omics mediated wide association studies in elucidating complex diseases and highlights the significance of selecting the appropriate method for each study.

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