人群中的基因调节变异为罕见疾病中的转录组分析提供了信息
Pejman Mohammadi1,2,3,4, Stephane E Castel5,2, Beryl B Cummings6,7
1New York Genome Center, New York, NY, USA. pejman@scripps.edu tlappalainen@nygenome.org.
概括
我们开发了ANEVA来分析基因剂量变异的RNA数据, 通过转录组测序,ANEVA-DOT可准确检测致病变体,有助于诊断遗传疾病.
科学领域:
- 基因组学
- 生物信息学
- 人类遗传学
背景情况:
- 转录组数据提供了对罕见遗传变异效应的见解.
- 基因表达 (AE) 数据为量化基因剂量变化提供了基础.
研究的目的:
- 引入ANEVA (表达变异分析) 来量化基因剂量的基因变异.
- 开发和验证使用AE数据进行罕见疾病诊断的剂量异常值测试ANEVA-DOT.
主要方法:
- 应用ANEVA对基因型-组织表达 (GTEx) 数据以估计基因剂量变异.
- 在70名孟德尔肌肉疾病患者的AE数据上使用ANEVA-DOT.
- 与选择性基因约束相关的差异估计.
主要成果:
- ANEVA的差异估计是稳定的,与选择性基因约束相关.
- 在孟德尔肌肉疾病病例中,ANEVA-DOT准确地确定了致病变体.
- 在患者中确诊了一例和几例潜在的新诊断.
结论:
- ANEVA提供了一种可靠的方法来从AE数据中量化基因剂量变化.
- ANEVA-DOT有效检测致病变体,提高罕见疾病的诊断.
- 将ANEVA-DOT集成到诊断管道中可以提高RNA测序数据的实用性.
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