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Accurate de novo and transmitted indel detection in exome-capture data using microassembly

机译:使用微型装配对外显子组捕获数据进行准确的从头检测和传输indel检测

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摘要

Although the analysis of single-nucleotide variations (SNVs) has become a standard technique to study human genetics, indels in DNA sequences cannot be detected as reliably. Indels are the second most common source of variation in human genomes and the most common structural variant. Within microsatellites (simple sequence repeats, SSRs, of 1- to 6-bp motifs), indels alter the length of the repeat motif and have been linked to more than 40 neurological diseases. Indels also are an important genetic component in autism:de novo indels that are likely to disrupt the encoded protein are nearly twice as abundant in affected children than in their unaffected siblings.
机译:尽管单核苷酸变异(SNV)的分析已成为研究人类遗传学的标准技术,但无法可靠地检测DNA序列中的插入缺失。插入缺失是人类基因组中第二大最常见的变异来源,也是最常见的结构变异。在微卫星中(1至6 bp基序的简单序列重复,SSR),插入缺失改变了重复基序的长度,并与40多种神经系统疾病有关。插入缺失也是自闭症的重要遗传组成部分:可能破坏编码蛋白质的新插入缺失在受影响儿童中的含量几乎是其未受影响兄弟姐妹的两倍。

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