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ICR96外显子拷贝数变异验证系列:用于对NGS数据中外显子拷贝数变异检测进行正交评估的资源。

The ICR96 exon CNV validation series: a resource for orthogonal assessment of exon CNV calling in NGS data.

作者信息

Mahamdallie Shazia, Ruark Elise, Yost Shawn, Ramsay Emma, Uddin Imran, Wylie Harriett, Elliott Anna, Strydom Ann, Renwick Anthony, Seal Sheila, Rahman Nazneen

机构信息

Division of Genetics & Epidemiology, The Institute of Cancer Research, London, SM2 5NG, UK.

TGLclinical, The Institute of Cancer Research, London, SM2 5NG, UK.

出版信息

Wellcome Open Res. 2017 May 26;2:35. doi: 10.12688/wellcomeopenres.11689.1. eCollection 2017.

Abstract

Detection of deletions and duplications of whole exons (exon CNVs) is a key requirement of genetic testing. Accurate detection of this variant type has proved very challenging in targeted next-generation sequencing (NGS) data, particularly if only a single exon is involved. Many different NGS exon CNV calling methods have been developed over the last five years. Such methods are usually evaluated using simulated and/or in-house data due to a lack of publicly-available datasets with orthogonally generated results. This hinders tool comparisons, transparency and reproducibility. To provide a community resource for assessment of exon CNV calling methods in targeted NGS data, we here present the ICR96 exon CNV validation series. The dataset includes high-quality sequencing data from a targeted NGS assay (the TruSight Cancer Panel) together with Multiplex Ligation-dependent Probe Amplification (MLPA) results for 96 independent samples. 66 samples contain at least one validated exon CNV and 30 samples have validated negative results for exon CNVs in 26 genes. The dataset includes 46 exon CNVs in , , , , , , , or , giving excellent representation of the cancer predisposition genes most frequently tested in clinical practice. Moreover, the validated exon CNVs include 25 single exon CNVs, the most difficult type of exon CNV to detect. The FASTQ files for the ICR96 exon CNV validation series can be accessed through the European-Genome phenome Archive (EGA) under the accession number EGAS00001002428.

摘要

检测整个外显子的缺失和重复(外显子拷贝数变异,exon CNV)是基因检测的一项关键要求。在靶向新一代测序(NGS)数据中,准确检测这种变异类型已被证明极具挑战性,尤其是当仅涉及单个外显子时。在过去五年中,已经开发了许多不同的NGS外显子CNV检测方法。由于缺乏具有正交生成结果的公开可用数据集,此类方法通常使用模拟数据和/或内部数据进行评估。这阻碍了工具比较、透明度和可重复性。为了提供一个用于评估靶向NGS数据中外显子CNV检测方法的社区资源,我们在此展示ICR96外显子CNV验证系列。该数据集包括来自靶向NGS检测(TruSight癌症面板)的高质量测序数据以及96个独立样本的多重连接依赖探针扩增(MLPA)结果。66个样本包含至少一个经过验证的外显子CNV,30个样本在26个基因的外显子CNV检测中得到了经过验证的阴性结果。该数据集包括在、、、、、、、或中的46个外显子CNV,很好地代表了临床实践中最常检测的癌症易感基因。此外,经过验证的外显子CNV包括25个单外显子CNV,这是最难检测的外显子CNV类型。ICR96外显子CNV验证系列的FASTQ文件可通过欧洲基因组 - 表型档案库(EGA)获取,登录号为EGAS00001002428。

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