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The application of next-generation sequencing in the autozygosity mapping of human recessive diseases

机译:下一代测序技术在人类隐性疾病自动合子制图中的应用

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摘要

Autozygosity, or the inheritance of two copies of an ancestral allele, has the potential to not only reveal phenotypes caused by biallelic mutations in autosomal recessive genes, but to also facilitate the mapping of such mutations by flagging the surrounding haplotypes as tractable runs of homozygosity (ROH), a process known as autozygosity mapping. Since SNPs replaced microsatellites as markers for the purpose of genomewide identification of ROH, autozygosity mapping of Mendelian genes has witnessed a significant acceleration. Historically, successful mapping traditionally required favorable family structure that permits the identification of an autozygous interval that is amenable to candidate gene selection and confirmation by Sanger sequencing. This requirement presented a major bottleneck that hindered the utilization of simplex cases and many multiplex families with autosomal recessive phenotypes. However, the advent of next-generation sequencing that enables massively parallel sequencing of DNA has largely bypassed this bottleneck and thus ushered in an era of unprecedented pace of Mendelian disease gene discovery. The ability to identify a single causal mutation among a massive number of variants that are uncovered by next-generation sequencing can be challenging, but applying autozygosity as a filter can greatly enhance the enrichment process and its throughput. This review will discuss the power of combining the best of both techniques in the mapping of recessive disease genes and offer some tips to troubleshoot potential limitations.
机译:自合子或两个祖先等位基因的遗传不仅可能揭示常染色体隐性基因中由双等位基因突变引起的表型,而且还可以通过将周围的单倍型标记为易处理的纯合子来促进此类突变的定位( ROH),称为自合子作图的过程。自从单核苷酸多态性取代微卫星作为标记物以用于全基因组ROH鉴定以来,孟德尔基因的自合子作图已经历了显着的加速。从历史上看,成功进行作图传统上需要有利的家族结构,该家族结构允许鉴定适合于候选基因选择和通过Sanger测序确认的自合子区间。该要求提出了一个主要的瓶颈,阻碍了单纯性病例和许多常染色体隐性表型的多重家庭的使用。但是,能够对DNA进行大规模并行测序的下一代测序技术的出现,很大程度上绕开了这一瓶颈,从而迎来了孟德尔疾病基因发现前所未有的步伐。在下一代测序中未发现的大量变体中鉴定单个因果突变的能力可能具有挑战性,但是将自噬性用作过滤器可以极大地提高富集过程及其通量。这篇综述将讨论在隐性疾病基因定位中结合这两种技术的优势,并提供一些解决潜在局限性的技巧。

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