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全外显子测序流程评估及致病种系变异优先级排序工具的基准测试

Evaluation of a whole-exome sequencing pipeline and benchmarking of causal germline variant prioritizers.

作者信息

Tosco-Herrera Eva, Muñoz-Barrera Adrián, Jáspez David, Rubio-Rodríguez Luis A, Mendoza-Alvarez Alejandro, Rodriguez-Perez Hector, Jou Jonathan, Iñigo-Campos Antonio, Corrales Almudena, Ciuffreda Laura, Martinez-Bugallo Francisco, Prieto-Morin Carol, García-Olivares Víctor, González-Montelongo Rafaela, Lorenzo-Salazar Jose Miguel, Marcelino-Rodriguez Itahisa, Flores Carlos

机构信息

Research Unit, Hospital Universitario Nuestra Señora de Candelaria (HUNSC), Santa Cruz de Tenerife, Spain.

Escuela de Doctorado y Estudios de Posgrado de la Universidad de La Laguna (EDEPULL), Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain.

出版信息

Hum Mutat. 2022 Dec;43(12):2010-2020. doi: 10.1002/humu.24459. Epub 2022 Sep 12.

Abstract

Most causal variants of Mendelian diseases are exonic. Whole-exome sequencing (WES) has become the diagnostic gold standard, but causative variant prioritization constitutes a bottleneck. Here we assessed an in-house sample-to-sequence pipeline and benchmarked free prioritization tools for germline causal variants from WES data. WES of 61 unselected patients with a known genetic disease cause was obtained. Variant prioritizations were performed by diverse tools and recorded to obtain a diagnostic yield when the causal variant was present in the first, fifth, and 10th top rankings. A fraction of causal variants was not captured by WES (8.2%) or did not pass the quality control criteria (13.1%). Most of the applications inspected were unavailable or had technical limitations, leaving nine tools for complete evaluation. Exomiser performed best in the top first rankings, while LIRICAL led in the top fifth rankings. Based on the more conservative top 10th rankings, Xrare had the highest diagnostic yield, followed by a three-way tie among Exomiser, LIRICAL, and PhenIX, then followed by AMELIE, TAPES, Phen-Gen,  AIVar, and VarNote-PAT. Xrare, Exomiser, LIRICAL, and PhenIX are the most efficient options for variant prioritization in real patient WES data.

摘要

大多数孟德尔疾病的致病变异位于外显子区域。全外显子测序(WES)已成为诊断的金标准,但致病变异的优先级排序构成了一个瓶颈。在此,我们评估了一个内部的样本到测序流程,并对基于WES数据的种系致病变异的免费优先级排序工具进行了基准测试。我们获取了61例病因已知的未选择的遗传病患者的WES数据。使用多种工具进行变异优先级排序,并记录在致病变异位于排名前1、前5和前10时的诊断率。一部分致病变异未被WES捕获(8.2%)或未通过质量控制标准(13.1%)。大多数被检查的应用程序不可用或存在技术限制,仅留下9个工具进行全面评估。Exomiser在排名前1时表现最佳,而LIRICAL在排名前5时领先。基于更保守的排名前10,Xrare的诊断率最高,其次是Exomiser、LIRICAL和PhenIX并列第二,然后是AMELIE、TAPES、Phen-Gen、AIVar和VarNote-PAT。Xrare、Exomiser、LIRICAL和PhenIX是真实患者WES数据中变异优先级排序最有效的选择。

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