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从靶向和全基因组测序数据中检测结构镶嵌性。

Detection of structural mosaicism from targeted and whole-genome sequencing data.

机构信息

Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, United Kingdom.

Department of Clinical Genetics, Chapel Allerton Hospital, Leeds LS7 4SA, United Kingdom.

出版信息

Genome Res. 2017 Oct;27(10):1704-1714. doi: 10.1101/gr.212373.116. Epub 2017 Aug 30.

DOI:10.1101/gr.212373.116
PMID:28855261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5630034/
Abstract

Structural mosaic abnormalities are large post-zygotic mutations present in a subset of cells and have been implicated in developmental disorders and cancer. Such mutations have been conventionally assessed in clinical diagnostics using cytogenetic or microarray testing. Modern disease studies rely heavily on exome sequencing, yet an adequate method for the detection of structural mosaicism using targeted sequencing data is lacking. Here, we present a method, called MrMosaic, to detect structural mosaic abnormalities using deviations in allele fraction and read coverage from next-generation sequencing data. Whole-exome sequencing (WES) and whole-genome sequencing (WGS) simulations were used to calculate detection performance across a range of mosaic event sizes, types, clonalities, and sequencing depths. The tool was applied to 4911 patients with undiagnosed developmental disorders, and 11 events among nine patients were detected. For eight of these 11 events, mosaicism was observed in saliva but not blood, suggesting that assaying blood alone would miss a large fraction, possibly >50%, of mosaic diagnostic chromosomal rearrangements.

摘要

结构镶嵌异常是少数细胞中存在的大型合子后突变,与发育障碍和癌症有关。此类突变通常在临床诊断中使用细胞遗传学或微阵列测试进行评估。现代疾病研究严重依赖外显子组测序,但缺乏使用靶向测序数据检测结构镶嵌性的合适方法。在这里,我们提出了一种称为 MrMosaic 的方法,该方法使用下一代测序数据中的等位基因分数和读取覆盖度的偏差来检测结构镶嵌异常。全外显子组测序 (WES) 和全基因组测序 (WGS) 模拟用于计算在一系列镶嵌事件大小、类型、克隆性和测序深度下的检测性能。该工具应用于 4911 名患有不明原因发育障碍的患者,在 9 名患者中的 11 个事件中检测到了这种情况。在这 11 个事件中的 8 个中,在唾液中观察到了镶嵌性,但在血液中没有观察到,这表明仅检测血液可能会错过很大一部分(可能超过 50%)的镶嵌性诊断性染色体重排。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/eb9c994e08f5/1704f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/166663428c57/1704f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/ab223008e1cb/1704f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/eb9c994e08f5/1704f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/166663428c57/1704f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/ab223008e1cb/1704f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e549/5630034/eb9c994e08f5/1704f03.jpg

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