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多图形分析解读神经解剖学表型和精神疾病交织的遗传结构
Antoine Auvergne1, Nicolas Traut1, Léo Henches1
1Department of Computational Biology, Institut Pasteur, Université Paris Cité, Paris, France.
Biological psychiatry. Cognitive neuroscience and neuroimaging
|September 11, 2024
概括
多图分析揭示了大脑MRI表型和精神疾病如精神分裂症和多动症之间的共同遗传因素. 这种方法可以识别新的遗传关联和生物标志物发展的潜在神经营养素通路机制.
科学领域:
- 神经遗传学 神经遗传学
- 精神病学遗传学 精神病学遗传学
- 神经成像遗传学 神经成像遗传学
背景情况:
- 越来越多的证据表明,精神疾病和脑磁共振成像 (MRI) 现型之间存在共同的遗传因素.
- 解读这些结果的联合遗传结构是具有挑战性的,需要新的方法来推断潜在的遗传结构.
- 多变量分析提供了一种强有力的方法,可以揭示MRI表型和精神疾病之间的联系,而单变量方法可能会错过.
研究的目的:
- 用先进的统计方法研究脑MRI表型和精神疾病的联合遗传结构.
- 为了比较单变体和多变体全基因组关联研究在识别遗传关联方面的有效性.
- 探索潜在的生物学机制,这些潜在的生物学机制是观察到的遗传联系的基础.
主要方法:
- 在20,000名英国生物库参与者中对9个MRI衍生的脑体积表型进行了单变体和多变体全基因组关联研究 (GWAS).
- 对6种精神疾病 (双极性障碍,多动症,自闭症,精神分裂症,强迫症,MDD) 进行了丰富分析,以区分与疾病相关的和与疾病无关的变体.
- 利用基于MRI多特征关联的顶部相关变异的优化k-medoids聚类.
主要成果:
- 单变MRI GWAS显示了与精神疾病的遗传相关性可以忽略不计.
- 多变量GWAS发现了与注意力缺陷/多动症障碍 (ADHD) 和精神分裂症相关的变体的新兴关联和显著丰富.
- 聚类分析揭示了两个聚类丰富的ADHD和精神分裂症协会,与一致的效果方向,表明神经营养素通路的作用.
结论:
- 多特征关联签名可以推断与精神疾病相关的基因驱动的潜在MRI变量.
- 这种方法为开发用于精神疾病的新生物标志物提供了基础.
- 突出了多变量遗传分析在精神病学和神经成像研究中的有用性.
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