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A genome-wide approach to identifying novel-imprinted genes

机译:全基因组识别新印迹基因的方法

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摘要

Genomic imprinting is an epigenetic process in which the copy of a gene inherited from one parent (maternal or paternal) is consistently silenced or expressed at a significantly lower level than the copy from the other parent. In an effort to begin a systematic genome-wide screen for imprinted genes, we assayed differential allelic expression (DAE) at 3,877 bi-allelic protein-coding sites located in 2,625 human genes in 67 unrelated individuals using genotyping microarrays. We used the presence of both over- and under-expression of the reference allele compared to the alternate allele to identify candidate-imprinted genes. We found 61 genes with at least twofold DAE plus “flipping” of the more highly expressed allele between reference and alternate across heterozygous samples. Sixteen flipping genes were genotyped and assayed for DAE in an independent data set of lymphoblastoid cell lines from two CEPH pedigrees. We confirmed that PEG10 is paternally expressed, identified one gene (ZNF331) with multiple lines of data indicating it is imprinted, and predicted several additional imprinting candidate genes. Our findings suggest that there are at most several hundred genes in the human genome that are universally imprinted. With samples of mRNA from appropriate tissues and a collection of informative cSNPs, a genome-wide search using this methodology could expand the list of genes that undergo genomic imprinting in a tissue- or temporal-specific manner.
机译:基因组印记是一种表观遗传过程,其中从一个亲本(母本或父本)继承的基因的拷贝始终被沉默或以比另一亲本的拷贝低得多的水平表达。为了开始对印迹基因进行系统的全基因组筛选,我们使用基因分型微阵列技术分析了67个无关个体中2,625个人类基因中3,877个双等位基因蛋白质编码位点的差异等位基因表达(DAE)。我们使用参考等位基因与替代等位基因相比过表达和欠表达的存在来鉴定候选基因印迹基因。我们发现61个基因具有至少两倍的DAE,以及在杂合子样本之间在参考样本和备用样本之间“翻转”更高表达的等位基因。在来自两个CEPH谱系的独立的淋巴母细胞细胞系数据集中,对16个翻转基因进行了基因分型并测定了DAE。我们确认PEG10是父系表达的,鉴定了一个基因(ZNF331),其多行数据表明其已被印记,并预测了其他几个可印记的候选基因。我们的发现表明,人类基因组中至多有数百个基因被普遍印记。有了来自适当组织的mRNA样本和大量有用的cSNPs,使用这种方法进行全基因组搜索可以扩大以组织或时间特异性方式进行基因组印迹的基因列表。

著录项

  • 来源
    《Human Genetics》 |2008年第6期|625-634|共10页
  • 作者单位

    UC Davis Genome Center and Department of Statistics University of California Davis CA 95616 USA;

    McGill University and Genome Quebec Innovation Centre H3A 1A4 Montreal QC Canada;

    Department of Molecular Biology and Genetics Cornell University Ithaca NY 14853 USA;

    Perlegen Sciences Mountain View CA 94042 USA;

    McGill University and Genome Quebec Innovation Centre H3A 1A4 Montreal QC Canada;

    McGill University and Genome Quebec Innovation Centre H3A 1A4 Montreal QC Canada;

    Department of Molecular Biology and Genetics Cornell University Ithaca NY 14853 USA;

    Perlegen Sciences Mountain View CA 94042 USA;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 01:51:10

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