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Human cardiac cis-regulatory elements, their cognate transcription factors, and regulatory DNA sequence variants

机译:人体心脏顺式调节元素,其同源转录因子和调节DNA序列变体

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摘要

Cis-regulatory elements (CRE), short DNA sequences through which transcription factors (TFs) exert regulatory control on gene expression, are postulated to be the major sites of causal sequence variation underlying the genetics of complex traits and diseases. We present integrative analyses, combining high-throughput genomic and epigenomic data with sequence-based computations, to identify the causal transcriptional components in a given tissue. We use data on adult human hearts to demonstrate that (1) sequence-based predictions detect numerous, active, tissue-specific CREs missed by experimental observations, (2) learned sequence features identify the cognate TFs, (3) CRE variants are specifically associated with cardiac gene expression, and (4) a significant fraction of the heritability of exemplar cardiac traits (QT interval, blood pressure, pulse rate) is attributable to these variants. This general systems approach can thus identify candidate causal variants and the components of gene regulatory networks (GRN) to enable understanding of the mechanisms of complex disorders on a tissue- or cell-type basis.
机译:顺式调节元素(CRE),转录因子(TFS)对基因表达的调节因子(TFS)发挥调节控制的短DNA序列被假定为复杂性状和疾病遗传学遗传学的因果序列变异的主要部位。我们提出了整合分析,将高通量基因组和表观胸部数据与基于序列的计算组合,以识别给定组织中的因果转录组分。我们使用成人心灵的数据来证明(1)基于序列的预测检测通过实验观察失去的众多,活跃的组织特异性CRE,(2)学习序列特征识别同源TFS,(3)CRE变体具体相关通过心脏基因表达,和(4)将示例性心脏特征的遗传性(QT间隔,血压,脉搏率)的显着分数可归因于这些变体。因此,这种通用系统方法可以识别候选因果变体和基因调节网络(GRN)的组分,以理解组织或细胞类型的复杂疾病的机制。

著录项

  • 来源
    《Genome research》 |2018年第10期|共12页
  • 作者单位

    Johns Hopkins Univ Sch Med McKusick Nathans Inst Genet Med Baltimore MD 21205 USA;

    Johns Hopkins Univ Sch Med McKusick Nathans Inst Genet Med Baltimore MD 21205 USA;

    Duke Univ Med Ctr Dept Pediat Durham NC 27708 USA;

    Duke Univ Med Ctr Dept Pediat Durham NC 27708 USA;

    Johns Hopkins Univ Dept Pathol Sch Med Baltimore MD 21205 USA;

    Duke Univ Med Ctr Dept Pediat Durham NC 27708 USA;

    Johns Hopkins Univ Sch Med McKusick Nathans Inst Genet Med Baltimore MD 21205 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

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