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Estimating Genome-Wide Copy Number Using Allele Specific Mixture Models

机译:使用等位基因特异性混合模型估算全基因组拷贝数

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Genomic changes such as copy number alterations are thoughtto be one of the major underlying causes of human phenotypic variation among normal and disease subjects [23,11,25,26,5,4,7,18]. These include chromosomal regions with so-called copy number alterations: instead of the expected two copies, a section of the chromosome for a particular individual may have zero copies (homozygous deletion), one copy (hemizygous deletions), or more than two copies (amplifications). The canonical example is Down syndrome which is caused by an extra copy of chromosome 21. Identification of such abnormalities in smaller regions has been of great interest, because it is believed to be an underlying cause of cancer.More than one decade ago comparative genomic hybridization (CGH) technology was developed to detect copy number changes in a high-throughput fashion. However, this technology only provides a 10 MB resolution which limits the ability to detect copy number alterations spanning small regions. It is widely believed that a copy number alteration as small as one base can have significant downstream effects, thus microarray manufacturers have developed technologies that provide much higher resolution.
机译:基因组变化,例如拷贝数变化,被认为是正常人和疾病人之间人类表型变异的主要原因之一[23,11,25,26,5,4,7,18]。这些包括具有所谓的拷贝数改变的染色体区域:特定个体的一部分染色体可能具有零个拷贝(纯合缺失),一个拷贝(半合缺失)或多于两个拷贝(而不是预期的两个拷贝)。扩增)。典型的例子是唐氏综合症,它是由21号染色体的额外副本引起的。在较小区域中识别此类异常异常引起人们极大的兴趣,因为据信这是癌症的根本原因。十多年前,比较基因组杂交(CGH)技术是为了以高通量方式检测拷贝数变化而开发的。但是,该技术仅提供10 MB的分辨率,这限制了检测跨小区域的副本数量变更的能力。人们普遍认为,一个碱基的拷贝数变化可能会对下游产生重大影响,因此,微阵列制造商已经开发出可提供更高分辨率的技术。

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