简单自闭症中的De Novo突变的基因组模式
Tychele N Turner1, Bradley P Coe1, Diane E Dickel2
1Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Cell
|October 3, 2017
概括
研究人员分析了516个自闭症家庭的基因组数据, 发现了更多受影响个体的新突变 (DNM). 这些基因变异对大脑发育至关重要的基因产生影响,
科学领域:
- 遗传学
- 神经科学
- 发育生物学
背景情况:
- 了解自闭症谱系障碍 (ASD) 的遗传基础对于诊断和治疗至关重要.
- 自闭症家族占自闭症病例的很大一部分,其遗传原因尚不清楚.
研究的目的:
- 通过大规模基因组测序识别导致自闭症病因的遗传因素.
- 描述自闭症家族中新突变 (DNM) 的频率和频谱.
主要方法:
- 516个特异性自闭症家族的全基因组测序 (2,064个个体).
- 单核酸变异 (SNV) 和副本数变异 (CNV) 的识别和分析.
- 自闭症试验者与未受影响的兄弟姐妹之间DNA的比较.
主要成果:
- 发现了超过5900万个SNV和9,212个私人CNV,其中包括133,992个SNV和88个CNV作为新的突变 (DNM).
- 自闭症试验者表现出更高的基因破坏性DNA,特别是那些影响胎儿大脑促进剂和增强剂的DNA.
- 在自闭症病例中,DNM富含在条状神经元中表达的基因,这表明特定的神经通路参与.
结论:
- 在自闭症的遗传病因中,新突变起着重要作用.
- 这项研究为自闭症研究提供了宝贵的基因组资源.
- 鉴定特定的突变模式和受影响的基因为复杂的自闭症病例提供了改善遗传特征和治疗点的潜力.
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