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在分子诊断环境中处理高度同源基因:临床下一代测序的资源

Navigating highly homologous genes in a molecular diagnostic setting: a resource for clinical next-generation sequencing.

作者信息

Mandelker Diana, Schmidt Ryan J, Ankala Arunkanth, McDonald Gibson Kristin, Bowser Mark, Sharma Himanshu, Duffy Elizabeth, Hegde Madhuri, Santani Avni, Lebo Matthew, Funke Birgit

机构信息

Department of Pathology, Harvard Medical School/Brigham and Women's Hospital, Boston, Massachusetts, USA.

Current affiliation: Department of Pathology, Memorial Sloan Kettering Cancer Center, New York City, New York, USA (D.M.); Medical Genetics, Invitae Corporation, San Francisco, California, USA (K.M.G.).

出版信息

Genet Med. 2016 Dec;18(12):1282-1289. doi: 10.1038/gim.2016.58. Epub 2016 May 26.

Abstract

PURPOSE

Next-generation sequencing (NGS) is now routinely used to interrogate large sets of genes in a diagnostic setting. Regions of high sequence homology continue to be a major challenge for short-read technologies and can lead to false-positive and false-negative diagnostic errors. At the scale of whole-exome sequencing (WES), laboratories may be limited in their knowledge of genes and regions that pose technical hurdles due to high homology. We have created an exome-wide resource that catalogs highly homologous regions that is tailored toward diagnostic applications.

METHODS

This resource was developed using a mappability-based approach tailored to current Sanger and NGS protocols.

RESULTS

Gene-level and exon-level lists delineate regions that are difficult or impossible to analyze via standard NGS. These regions are ranked by degree of affectedness, annotated for medical relevance, and classified by the type of homology (within-gene, different functional gene, known pseudogene, uncharacterized noncoding region). Additionally, we provide a list of exons that cannot be analyzed by short-amplicon Sanger sequencing.

CONCLUSION

This resource can help guide clinical test design, supplemental assay implementation, and results interpretation in the context of high homology.Genet Med 18 12, 1282-1289.

摘要

目的

在诊断环境中,新一代测序(NGS)现在常用于检测大量基因。对于短读长技术而言,高序列同源性区域仍然是一个重大挑战,并且可能导致假阳性和假阴性诊断错误。在全外显子组测序(WES)规模下,实验室对于因高同源性而构成技术障碍的基因和区域的了解可能有限。我们创建了一个全外显子组范围的资源,该资源编目了针对诊断应用定制的高度同源区域。

方法

该资源是使用针对当前桑格测序和NGS协议定制的基于可映射性的方法开发的。

结果

基因水平和外显子水平的列表描绘了通过标准NGS难以或无法分析的区域。这些区域按受影响程度排序,注释其医学相关性,并按同源性类型(基因内、不同功能基因、已知假基因、未表征的非编码区域)分类。此外,我们提供了一份无法通过短扩增子桑格测序分析的外显子列表。

结论

在高同源性背景下,该资源有助于指导临床检测设计、补充检测方法的实施及结果解读。《遗传医学》第18卷第12期,第1282 - 1289页 。

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