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Panel 设计:将流行病学信息整合到诊断 NGS 基因面板的设计中。

PanelDesign: Integrating Epidemiological Information into the Design of Diagnostic NGS Gene Panels.

机构信息

amedes MVZ wagnerstibbe, Georgstrasse 50, D-30159 Hannover, Germany.

Medizinische Hochschule Hannover, Carl-Neuberg-Strasse 1, D-30625 Hannover, Germany.

出版信息

Genes (Basel). 2022 Apr 13;13(4):684. doi: 10.3390/genes13040684.

Abstract

We report upon PanelDesign, a framework to support the design of diagnostic next generation DNA sequencing panels with epidemiological information. Two publicly available resources, namely Genomics England PanelApp and Orphadata, were combined into a single data set to allow genes in a given NGS panel to be ranked according to the frequency of the associated diseases, thereby highlighting potential core genes as defined by the Eurogenetest/ESHG guidelines for diagnostic next generation DNA sequencing. In addition, PanelDesign can be used to evaluate the contribution of different genes to a given disease following ACMG (American College of Medical Genetics) technical standards.

摘要

我们介绍了 PanelDesign,这是一个支持基于流行病学信息设计诊断性下一代 DNA 测序面板的框架。我们将两个公开可用的资源,即 Genomics England PanelApp 和 Orphadata,合并到一个单一的数据集中,从而可以根据相关疾病的频率对给定 NGS 面板中的基因进行排序,从而突出了按照 Eurogenetest/ESHG 指南定义的诊断性下一代 DNA 测序的潜在核心基因。此外,PanelDesign 还可以根据 ACMG(美国医学遗传学学院)技术标准,用于评估不同基因对给定疾病的贡献。

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