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诊断基因组测序可提高诊断产出率:前瞻性单中心研究 1000 例遗传性眼病患者。

Diagnostic genome sequencing improves diagnostic yield: a prospective single-centre study in 1000 patients with inherited eye diseases.

机构信息

Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tübingen, Tübingen, Germany.

Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.

出版信息

J Med Genet. 2024 Jan 19;61(2):186-195. doi: 10.1136/jmg-2023-109470.

Abstract

PURPOSE

Genome sequencing (GS) is expected to reduce the diagnostic gap in rare disease genetics. We aimed to evaluate a scalable framework for genome-based analyses 'beyond the exome' in regular care of patients with inherited retinal degeneration (IRD) or inherited optic neuropathy (ION).

METHODS

PCR-free short-read GS was performed on 1000 consecutive probands with IRD/ION in routine diagnostics. Complementary whole-blood RNA-sequencing (RNA-seq) was done in a subset of 74 patients. An open-source bioinformatics analysis pipeline was optimised for structural variant (SV) calling and combined RNA/DNA variation interpretation.

RESULTS

A definite genetic diagnosis was established in 57.4% of cases. For another 16.7%, variants of uncertain significance were identified in known IRD/ION genes, while the underlying genetic cause remained unresolved in 25.9%. SVs or alterations in non-coding genomic regions made up for 12.7% of the observed variants. The RNA-seq studies supported the classification of two unclear variants.

CONCLUSION

GS is feasible in clinical practice and reliably identifies causal variants in a substantial proportion of individuals. GS extends the diagnostic yield to rare non-coding variants and enables precise determination of SVs. The added diagnostic value of RNA-seq is limited by low expression levels of the major IRD disease genes in blood.

摘要

目的

基因组测序(GS)有望减少罕见病遗传学中的诊断差距。我们旨在评估一种可扩展的框架,用于在遗传性视网膜变性(IRD)或遗传性视神经病变(ION)患者的常规护理中进行“超越外显子”的基于基因组的分析。

方法

对 1000 例连续的 IRD/ION 先证者进行无 PCR 短读 GS 检测。对 74 例患者的亚组进行了全血 RNA 测序(RNA-seq)。优化了一个开源的生物信息学分析管道,用于结构变异(SV)调用和 RNA/DNA 变异联合解释。

结果

57.4%的病例确定了明确的遗传诊断。对于另外 16.7%的病例,在已知的 IRD/ION 基因中发现了意义不明的变异,而在 25.9%的病例中,潜在的遗传原因仍未解决。SV 或非编码基因组区域的改变占观察到的变异的 12.7%。RNA-seq 研究支持了两种不明确变异的分类。

结论

GS 在临床实践中是可行的,能够可靠地识别出相当一部分个体的因果变异。GS 将诊断产量扩展到罕见的非编码变异,并能够精确确定 SV。RNA-seq 的附加诊断价值受到血液中主要 IRD 疾病基因低表达水平的限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3453/10850689/909ca33bb3e3/jmg-2023-109470f01.jpg

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