综合性后基因组广泛关联研究分析与精神疾病相关:推算转录组和蛋白质组信号
Huseyin Gedik1, Roseann E Peterson2, Brien P Riley2
1Integrative Life Sciences, Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Complex psychiatry
|August 17, 2023
概括
全基因组关联研究 (GWAS) 确定复杂特征的遗传变异. 全转录组关联研究 (TWAS) 和全蛋白组关联研究 (PWAS) 通过将基因表达和蛋白质水平与特征联系起来来扩展这一点,有助于精神疾病研究.
科学领域:
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
- 精神病学研究 精神病学研究
背景情况:
- 全基因组关联研究 (GWAS) 确定与复杂特征相关的遗传变异,包括精神疾病 (PDs).
- 后GWAS分析对于将统计发现与基因,蛋白质和途径等生物实体联系起来至关重要.
- 结合分子表型 (基因表达,蛋白质丰富度) 的方法调解变异特征关联.
研究的目的:
- 审查最近转录基因组范围的关联研究 (TWAS) 和蛋白质组范围的关联研究 (PWAS) 的进展.
- 突出TWAS和PWAS在识别精神疾病因果基因方面的实用性.
- 为研究人员进行这些后GWAS分析推特定的工具.
主要方法:
- TWAS和PWAS将omic数据与GWAS总结统计数据进行整合.
- 这些方法归因于转录/蛋白质数据,并使用GWAS数据和参考OMIC数据集测试与表型的关联.
- 摘要 孟德尔随机化 (SMR) 推用于执行TWAS和PWAS的多功能性.
主要成果:
- TWAS和PWAS对于初级关联扫描和PD中潜在的因果基因的精细映射是有效的.
- 来自TWAS/PWAS的优先基因可以作为新药开发的目标.
- 推SMR是因为它能够使用同一个工具用于TWAS/PWAS,它独立于预先计算的权重,以及与公共转录组数据的兼容性.
结论:
- TWAS和PWAS是用于精神疾病研究的强大后GWAS分析工具.
- 这些方法有助于识别潜在复杂特征的生物相关基因.
- 像SMR这样的门德尔随机化工具为TWAS和PWAS分析提供了实用和高效的方法.
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