基因组结构方程建模揭示了人类皮质中具有独特遗传架构的潜在现象型
Rajendra A Morey1,2,3, Yuanchao Zheng4,5, Henry Bayly4,5
1Brain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA.
Translational psychiatry
|October 25, 2024
概括
这项研究揭示了皮层表面积和厚度的遗传信息大脑网络 (GIBNs). 这些网络将遗传倾向与双相情绪障碍和多动症等疾病联系起来.
科学领域:
- 神经遗传学 神经遗传学
- 大脑成像遗传学
- 量化遗传学 量化遗传学
背景情况:
- 单个基因影响多个特征的遗传性是理解复杂大脑结构的关键.
- 现有的皮层分片缺乏纯粹的遗传基础,需要新的方法.
研究的目的:
- 为了利用遗传变性来识别人类皮质的独特的,基因信息的分片.
- 使用基因组结构方程建模 (SEM) 绘制皮质表面积 (SA) 和厚度 (CT) 的遗传结构图.
主要方法:
- 应用基因 SEM 到 GWAS 对 34 个大脑区域的总结统计数据来估计遗传共变性.
- 利用LD得分回归 (LDSC) 来发现基因信息的大脑网络 (GIBNs).
- 在已识别的GIBN上进行了多变体全基因组关联研究 (GWAS).
主要成果:
- 鉴定了6个GIBN用于皮质SA和4个用于皮质CT.
- 发现了74个与GIBNs相关的全基因组显著位置,其中许多与神经成像和精神病特征有关.
- 在SA衍生的GIBNs和双相情感障碍 (BPD) 和大麻使用障碍之间发现了积极的遗传相关性.
- 观察到ADHD和严重抑郁症 (MDD) 之间的负遗传相关性,以及CT GIBNs和酒精依赖之间的负遗传相关性.
结论:
- 基因架构的联合建模为皮质结构遗传学及其与精神病理学的关系提供了新的见解.
- 基因知情的大脑网络为理解基于大脑的特征遗传学提供了一个新的框架.
- 尽管模型不稳定,但这种方法强调了大脑结构和精神疾病之间的遗传联系.
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