混合基因表达模型扩展了对6种主要精神疾病的分子和神经学的洞察力
Xavier Bledsoe1,2, Nathan Watkins3, Tavian Bowen-Moore4
1Medical Scientist Training Program, Vanderbilt University, Nashville, TN.
Research square
|April 1, 2025
概括
混合基因表达模型显著改善了针对精神疾病的转录组广泛关联研究 (TWAS). 这些模型独特地识别了更多的遗传关联,增强了我们对不同祖先疾病风险的理解.
科学领域:
- 遗传学 是一个遗传学.
- 精神病学是一个精神病学.
- 生物信息学是一种生物信息学.
背景情况:
- 了解不同种群中基因表达的遗传影响是有限的.
- 应用于多种群研究的基因表达模型需要仔细考虑祖先的背景.
研究的目的:
- 通过在混合种群上训练的基因表达模型,评估转录组范围的关联研究 (TWAS) 的实用性.
- 为了比较TWAS的收益率,用于精神疾病的混合与主要欧洲祖先模型.
主要方法:
- 通过对非洲,欧洲和美洲土著祖先进行培训的基因表达模型,对6种精神疾病进行了TWAS.
- 重复的TWAS使用对主要欧洲祖先进行训练的模型进行比较分析.
- 使用虚假发现率 (FDR) 的p值<0.05.05,确定了具有统计意义的关联.
主要成果:
- 在6个诊断中确定了1,416个显著的TWAS关联.
- 62%的显著关联是通过混合基因表达模型独特检测到的.
- 观察到基因水平对疾病风险影响的高相关性 (>92%),即使对于特定人群的发现也是强大的.
结论:
- 混合基因表达模型大大提高了TWAS的发现能力.
- 来自混合模型的转录学签名暗示了与精神病症状相关的神经成像特征.
- 这种方法验证并扩展了TWAS在各种遗传环境中的应用.
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