多个组的协会研究:了解疾病的新方法
Mengting Shao1, Kaiyang Chen1, Shuting Zhang1
1Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Genomics, proteomics & bioinformatics
|October 29, 2024
概括
多分子广泛关联研究 (MWAS) 提供了找到疾病易感基因的新方法. 本综述对MWAS方法进行了分类,并强调了用于精神障碍研究的全转录组关联研究 (TWAS).
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 计算生物学 计算生物学
- 生物统计学 生物统计学
背景情况:
- 多分子广泛关联研究 (MWAS) 方法正在快速发展,使我们能够更深入地了解复杂疾病遗传学.
- 了解复杂疾病的遗传基础需要强大的工具来分析各种生物数据.
研究的目的:
- 提供MWAS统计模型,用例和优势的全面审查和分类.
- 分析基因疾病的关联,特别是使用转录组范围的关联研究 (TWAS),并确定研究趋势.
主要方法:
- 最近的MWAS统计模型的系统审查和分类.
- 文学搜索和基因疾病关联研究的数据收集,重点是TWAS.
- 分析了来自235个出版物的478个疾病条目,以确定经常研究的疾病类别.
主要成果:
- 详细概述各种MWAS的统计方法,应用和好处.
- 确定精神障碍是TWAS研究中最常见的重点.
- 证明TWAS在探索复杂疾病的遗传结构中的实用性.
结论:
- MWAS对于阐明复杂疾病的遗传基础至关重要.
- 选择适当的MWAS方法对于成功的基因疾病关联研究至关重要.
- TWAS显示出有很大的潜力,可以促进我们对精神障碍遗传学的理解.
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