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PAGEANT:个人基因组访问和自然特征分析。

PAGEANT: personal access to genome and analysis of natural traits.

机构信息

Department of Global Health, Peking University School of Public Health, Beijing, China.

Institute for Global Health and Development, Peking University, Beijing, China.

出版信息

Nucleic Acids Res. 2022 Apr 22;50(7):e39. doi: 10.1093/nar/gkab1245.

Abstract

GWASs have identified numerous genetic variants associated with a wide variety of diseases, yet despite the wide availability of genetic testing the insights that would enhance the interpretability of these results are not widely available to members of the public. As a proof of concept and demonstration of technological feasibility, we developed PAGEANT (Personal Access to Genome & Analysis of Natural Traits), usable through Graphical User Interface or command line-based version, aiming to serve as a protocol and prototype that guides the overarching design of genetic reporting tools. PAGEANT is structured across five core modules, summarized by five Qs: (i) quality assurance of the genetic data; (ii) qualitative assessment of genetic characteristics; (iii) quantitative assessment of health risk susceptibility based on polygenic risk scores and population reference; (iv) query of third-party variant databases (e.g. ClinVAR and PharmGKB) and (v) quick Response code of genetic variants of interest. Literature review was conducted to compare PAGEANT with academic and industry tools. For 2504 genomes made publicly available through the 1000 Genomes Project, we derived their genomic characteristics for a suite of qualitative and quantitative traits. One exemplary trait is susceptibility to COVID-19, based on the most up-to-date scientific findings reported.

摘要

GWAS 已经确定了许多与各种疾病相关的遗传变异,尽管遗传测试已经广泛应用,但能够增强这些结果可解释性的见解并没有广泛提供给公众。作为概念验证和技术可行性的证明,我们开发了 PAGEANT(个人访问基因组和自然特征分析),可通过图形用户界面或命令行版本使用,旨在作为遗传报告工具的总体设计指南和原型。PAGEANT 由五个核心模块组成,用五个 Qs 进行总结:(i) 遗传数据的质量保证;(ii) 遗传特征的定性评估;(iii) 基于多基因风险评分和人群参考的健康风险易感性的定量评估;(iv) 第三方变异数据库(例如 ClinVAR 和 PharmGKB)的查询;以及 (v) 感兴趣的遗传变异的快速响应码。我们进行了文献综述,以比较 PAGEANT 与学术和行业工具。对于通过 1000 基因组计划公开提供的 2504 个基因组,我们为一系列定性和定量特征推导出了它们的基因组特征。一个典型的特征是基于最新报道的科学发现对 COVID-19 的易感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef1/9023285/8200d16a4aea/gkab1245fig1.jpg

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