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本文引用的文献

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Diagnostic yield of clinical exome sequencing in adulthood in medical genetics clinics.临床外显子组测序在医学遗传学诊所成人中的诊断收益。
Am J Med Genet A. 2023 Feb;191(2):510-517. doi: 10.1002/ajmg.a.63053. Epub 2022 Nov 19.
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Care4Rare Canada: Outcomes from a decade of network science for rare disease gene discovery.加拿大关爱罕见病组织:网络科学在罕见病基因发现方面十年的成果。
Am J Hum Genet. 2022 Nov 3;109(11):1947-1959. doi: 10.1016/j.ajhg.2022.10.002.
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The Korean undiagnosed diseases program phase I: expansion of the nationwide network and the development of long-term infrastructure.韩国未确诊疾病计划第一阶段:全国网络的扩大和长期基础设施的发展。
Orphanet J Rare Dis. 2022 Oct 8;17(1):372. doi: 10.1186/s13023-022-02520-5.
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Advances in nanopore direct RNA sequencing.纳米孔直接 RNA 测序技术的进展。
Nat Methods. 2022 Oct;19(10):1160-1164. doi: 10.1038/s41592-022-01633-w.
5
Cost-effectiveness of exome and genome sequencing for children with rare and undiagnosed conditions.外显子组和基因组测序在患有罕见病和未确诊疾病儿童中的成本效益。
Genet Med. 2022 Nov;24(11):2415-2417. doi: 10.1016/j.gim.2022.09.004. Epub 2022 Sep 30.
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The GA4GH Phenopacket schema defines a computable representation of clinical data.全球基因组与健康联盟(GA4GH)表型数据包模式定义了临床数据的可计算表示形式。
Nat Biotechnol. 2022 Jun;40(6):817-820. doi: 10.1038/s41587-022-01357-4.
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Integration of metabolomics with genomics: Metabolic gene prioritization using metabolomics data and genomic variant (CADD) scores.代谢组学与基因组学的整合:利用代谢组学数据和基因组变异(CADD)评分进行代谢基因优先级排序。
Mol Genet Metab. 2022 Jul;136(3):199-218. doi: 10.1016/j.ymgme.2022.05.002. Epub 2022 May 25.
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An integrated multiomic approach as an excellent tool for the diagnosis of metabolic diseases: our first 3720 patients.一种整合多组学方法作为诊断代谢疾病的优秀工具:我们的首批3720例患者
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9
Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance.在临床基因检测中系统地使用表型证据可降低不确定意义变异的频率。
Am J Med Genet A. 2022 Sep;188(9):2642-2651. doi: 10.1002/ajmg.a.62779. Epub 2022 May 16.
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Seven years since the launch of the Matchmaker Exchange: The evolution of genomic matchmaking.精准医学匹配交换平台启动七周年:基因组匹配的发展。
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外显子组之外:孟德尔疾病诊断检测的下一步是什么。

Beyond the exome: What's next in diagnostic testing for Mendelian conditions.

机构信息

Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.

Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Am J Hum Genet. 2023 Aug 3;110(8):1229-1248. doi: 10.1016/j.ajhg.2023.06.009.

DOI:10.1016/j.ajhg.2023.06.009
PMID:37541186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10432150/
Abstract

Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly undertaken by specialists outside of clinical genetics, often occurring in a tiered fashion and typically ending after ES. The current diagnostic rate reflects multiple factors, including technical limitations, incomplete understanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environment interactions, and reporting differences between clinical labs. Maintaining a clear understanding of the rapidly evolving landscape of diagnostic tests beyond ES, and their limitations, presents a challenge for non-genetics professionals. Newer tests, such as short-read genome or RNA sequencing, can be challenging to order, and emerging technologies, such as optical genome mapping and long-read DNA sequencing, are not available clinically. Furthermore, there is no clear guidance on the next best steps after inconclusive evaluation. Here, we review why a clinical genetic evaluation may be negative, discuss questions to be asked in this setting, and provide a framework for further investigation, including the advantages and disadvantages of new approaches that are nascent in the clinical sphere. We present a guide for the next best steps after inconclusive molecular testing based upon phenotype and prior evaluation, including when to consider referral to research consortia focused on elucidating the underlying cause of rare unsolved genetic disorders.

摘要

尽管临床基因检测取得了进展,包括外显子组测序(ES)的引入,但仍有超过 50%的疑似孟德尔疾病患者无法获得精确的分子诊断。临床评估越来越多地由临床遗传学以外的专家进行,通常以分层的方式进行,通常在 ES 之后结束。目前的诊断率反映了多种因素,包括技术限制、对变异致病性的理解不完整、基因型-表型关联缺失、复杂的基因-环境相互作用以及临床实验室之间的报告差异。对于非遗传学专业人员来说,了解 ES 之外的诊断测试及其局限性的快速发展的领域,并了解其局限性,是一项挑战。新的测试,如短读长基因组或 RNA 测序,可能难以订购,而新兴技术,如光学基因组图谱和长读 DNA 测序,目前尚未在临床上使用。此外,对于不确定评估之后的下一步最佳步骤,尚无明确的指导。在这里,我们回顾了为什么临床遗传评估可能是阴性的,讨论了在这种情况下要提出的问题,并提供了进一步调查的框架,包括新兴的临床领域中具有优势和劣势的新方法。我们根据表型和先前的评估,为不确定的分子检测之后的下一步提供了指南,包括何时考虑转介给专注于阐明罕见未解决遗传疾病根本原因的研究联盟。