一个双胞胎分析,以估计遗传和环境因素导致权重基因共同表达网络模块 eigengenes 的变化
Nathan A Gillespie1,2, Tyler R Bell3,4, Gentry C Hearn5
1Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Virginia, USA.
概括
来自血液的模块自身基因 (ME) 显示出显著的遗传性. 这些遗传影响表明ME对于研究复杂的特征和疾病是可靠的.
科学领域:
- 基因组学就是基因组学.
- 网络分析 网络分析
- 生物识别遗传学 生物识别遗传学
背景情况:
- 模块自身基因 (MEs) 总结了基因表达模式,但它们的遗传和环境起源尚不清楚.
- 了解ME病因对于将基因组变异与复杂特征联系起来至关重要.
- 之前的研究没有经验性地确定ME的遗传和环境基础.
研究的目的:
- 研究血液衍生模块自身基因 (ME) 的遗传和环境影响.
- 确定中小企业的个体差异是否反映了遗传因素或环境因素.
- 评估ME在复杂特征关联研究中的可靠性.
主要方法:
- 生物识别基因分析应用于661名年龄较大的男性双胞胎的基因表达数据.
- 模块自身基因 (MEs) 来自血液淋巴细胞.
- 双胞胎研究设计允许估计附加遗传和环境影响.
主要成果:
- 在26个检测到的ME中,有14个 (56%) 显示了统计学上显著的附加遗传变异.
- 这些ME的平均遗传率为44%,范围为35%-64%.
- 在很大一部分中小企业中观察到显著的家庭聚合.
结论:
- 血液衍生的模块自身基因 (ME) 具有显著的遗传性,表明家族聚合.
- 这些发现支持了ME作为探索与复杂特征和疾病关联的措施的可靠性.
- 需要进一步研究ME与复杂特征和疾病的关联.
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