对老年人语义流性进行全基因组范围的表观网络分析
Qihua Tan1,2, Weilong Li1, Marianne Nygaard1
1Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5230 Odense, Denmark.
International journal of molecular sciences
|May 25, 2024
概括
遗传因素影响语义流性,这是一个常常在老年人中受损的认知能力. 这项研究确定了与语义流性相关的特定基因变异和网络,突出显示了大脑组织基因表达和相关的健康特征.
科学领域:
- 神经遗传学 神经遗传学
- 认知神经科学 认知神经科学
- 人类遗传学 人类遗传学
背景情况:
- 语义流性障碍与各种神经认知和精神疾病有关,特别是在老年人群中.
- 以前的研究表明,语义流性具有适度的遗传性,这表明存在遗传因素.
- 鉴定有助于语义流性变化的特定遗传变异仍然是一个活跃的研究领域.
研究的目的:
- 进行全基因组关联研究 (GWAS) 和表观网络分析,以确定与语义流相关的遗传变异.
- 在老年人中探索语义流的遗传基础.
- 在独立的队列中复制发现.
主要方法:
- 从长寿家庭研究 (LLFS) 中使用了全基因组SNP基因型数据和语义流度量表.
- 在美国LLFS队伍中,对2289名 (年龄大于60岁) 个体进行了GWAS和epistasis网络分析.
- 对来自丹麦LLFS队列的1129名个人 (年龄大于50岁) 进行了复制分析.
主要成果:
- 在5号染色体上CMYAS基因附近的两个SNP (rs3749683,rs880179) 达到全基因组显著性.
- 经过Epistasis网络分析,发现了5个重要的模块,其中2个已成功复制.
- 复制的模块显示了大脑特异性基因表达和GWAS目录特征 (例如肥胖,血压,睡眠,大脑结构) 的丰富.
结论:
- 大脑组织中基因表达的遗传调节具有高度特异性.
- 突发性SNP网络相互作用,影响个体的语言能力和认知表现.
- 研究结果提供了关于语义流性及其与其他复杂特征的关系的遗传架构的见解.
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