Suppr超能文献

采用超低覆盖度全基因组测序(XLC-WGS)技术鉴定一个多代家族性视网膜色素变性的 RP1 为致病基因。

Identification of RP1 as the genetic cause of retinitis pigmentosa in a multi-generational pedigree using Extremely Low-Coverage Whole Genome Sequencing (XLC-WGS).

机构信息

Department of Human Genetics, University of Utah, Salt Lake City, UT 84132, USA; Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Facultad de ingeniería, Universidad de San Carlos de Guatemala, Guatemala 10012, Guatemala.

Department of Rheumatology, San Pedro Hospital, Logroño 26001, Spain.

出版信息

Gene. 2023 Jan 30;851:146956. doi: 10.1016/j.gene.2022.146956. Epub 2022 Oct 27.

Abstract

MOTIVATION

Next-generation sequencing (NGS) technologies are decisive for discovering disease-causing variants, although their cost limits their utility in a clinical setting. A cost-mitigating alternative is an extremely low coverage whole-genome sequencing (XLC-WGS). We investigated its use to identify causal variants within a multi-generational pedigree of individuals with retinitis pigmentosa (RP). Causing progressive vision loss, RP is a group of genetically heterogeneous eye disorders with approximately 60 known causal genes.

RESULTS

We performed XLC-WGS in seventeen members of this pedigree, including three individuals with a confirmed diagnosis of RP. Sequencing data were processed using Illumina's DRAGEN pipeline and filtered using Illumina's genotype quality score metric (GQX). The resulting variants were analyzed using Expert Variant Interpreter (eVai) from enGenome as a prioritization tool. A nonsense known mutation (c.1625C > G; p.Ser542*) in exon 4 of the RP1 gene emerged as the most likely causal variant. We identified two homozygous carriers of this variant among the three sequenced RP cases and three heterozygous individuals with sufficient coverage of the RP1 locus. Our data show the utility of combining pedigree information with XLC-WGS as a cost-effective approach to identify disease-causing variants.

摘要

动机

下一代测序 (NGS) 技术对于发现致病变异体至关重要,尽管其成本限制了其在临床环境中的应用。一种降低成本的替代方法是极低覆盖率的全基因组测序 (XLC-WGS)。我们研究了它在识别具有色素性视网膜炎 (RP) 的多代家系个体中的致病变异体中的用途。RP 导致进行性视力丧失,是一组遗传异质性眼部疾病,约有 60 个已知的致病基因。

结果

我们对这个家系的十七名成员进行了 XLC-WGS 检测,其中包括三名经证实患有 RP 的个体。使用 Illumina 的 DRAGEN 管道处理测序数据,并使用 Illumina 的基因型质量评分指标 (GQX) 进行过滤。使用 enGenome 的 Expert Variant Interpreter (eVai) 作为优先级工具分析产生的变体。RP1 基因外显子 4 中的一个无义已知突变 (c.1625C > G; p.Ser542*) 成为最可能的致病变体。我们在三个测序的 RP 病例中发现了两个该变体的纯合携带者,以及三个具有足够 RP1 基因座覆盖的杂合个体。我们的数据表明,将家系信息与 XLC-WGS 相结合是一种具有成本效益的方法,可以识别致病变体。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验