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关于基因变异(重新)分类背后不断演变的证据的一项先导性元研究。

A Pilot Meta-research on Evolving Evidence Behind Genetic Variant (Re)Classification.

作者信息

Ma Haotian, Xu Zihan, Chung Wendy, Weng Chunhua, Peng Yifan

机构信息

Weill Cornell Medicine, New York, NY, US.

Boston Children's Hospital and Harvard Medical School, Boston, MA, US.

出版信息

medRxiv. 2025 Apr 9:2025.04.07.25325116. doi: 10.1101/2025.04.07.25325116.

DOI:10.1101/2025.04.07.25325116
PMID:40297433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12036420/
Abstract

Variant classification and reclassification are fundamental to advancing precision medicine. This study focuses on the reclassifications of variants of uncertain significance (VUS) in and genes. By analyzing 162 unique cited publications supporting VUS reclassifications, we examined the accuracy, completeness, and currency of citations to these publications. Our findings reveal missing or inadequate evidence for reclassifications, as well as temporally misaligned citations and ClinVar submissions. Furthermore, we observed patterns in the cited studies, including the use of classification recommendations, genetic mechanisms, computational tools, and diverse population studies. This study underscores the need for stronger evidence supporting reclassifications and greater inclusion of diverse populations to optimize genomic variant reclassification and clinical decision-making.

摘要

变异分类和重新分类是推进精准医学的基础。本研究聚焦于[具体基因1]和[具体基因2]基因中意义未明变异(VUS)的重新分类。通过分析支持VUS重新分类的162篇独特引用文献,我们检查了这些文献引用的准确性、完整性和时效性。我们的研究结果揭示了重新分类存在证据缺失或不足的情况,以及时间上不一致的引用和向ClinVar提交的数据。此外,我们观察到引用研究中的一些模式,包括分类建议的使用、遗传机制、计算工具和多样化的人群研究。本研究强调需要更有力的证据支持重新分类,并更多地纳入多样化人群,以优化基因组变异重新分类和临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7791/12234114/a5c6be278d3e/nihpp-2025.04.07.25325116v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7791/12234114/13a352395ed1/nihpp-2025.04.07.25325116v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7791/12234114/a5c6be278d3e/nihpp-2025.04.07.25325116v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7791/12234114/13a352395ed1/nihpp-2025.04.07.25325116v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7791/12234114/a5c6be278d3e/nihpp-2025.04.07.25325116v2-f0002.jpg

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本文引用的文献

1
A global perspective on the ethnic-specific variation and its implication in clinical application.关于种族特异性变异及其在临床应用中的意义的全球视角。
J Natl Cancer Cent. 2022 Dec 15;3(1):14-20. doi: 10.1016/j.jncc.2022.12.001. eCollection 2023 Mar.
2
Tracking genetic variants in the biomedical literature using LitVar 2.0.使用LitVar 2.0在生物医学文献中追踪基因变异。
Nat Genet. 2023 Jun;55(6):901-903. doi: 10.1038/s41588-023-01414-x.
3
Prevalence of Variant Reclassification Following Hereditary Cancer Genetic Testing.
遗传性癌症基因检测后变异再分类的流行率。
JAMA. 2018 Sep 25;320(12):1266-1274. doi: 10.1001/jama.2018.13152.
4
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC.LitVar:一个语义搜索引擎,用于在 PubMed 和 PMC 中链接基因组变异数据。
Nucleic Acids Res. 2018 Jul 2;46(W1):W530-W536. doi: 10.1093/nar/gky355.
5
ClinVar: improving access to variant interpretations and supporting evidence.ClinVar:改善变异解读和支持证据的获取。
Nucleic Acids Res. 2018 Jan 4;46(D1):D1062-D1067. doi: 10.1093/nar/gkx1153.
6
Non-BRCA familial breast cancer: review of reported pathology and molecular findings.非BRCA基因相关的家族性乳腺癌:已报道的病理学及分子学研究结果综述
Pathology. 2017 Jun;49(4):363-370. doi: 10.1016/j.pathol.2017.03.002. Epub 2017 Apr 24.
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Inherited mutations in 17 breast cancer susceptibility genes among a large triple-negative breast cancer cohort unselected for family history of breast cancer.在一个未因乳腺癌家族史而进行选择的大型三阴性乳腺癌队列中,17个乳腺癌易感基因的遗传性突变情况。
J Clin Oncol. 2015 Feb 1;33(4):304-11. doi: 10.1200/JCO.2014.57.1414. Epub 2014 Dec 1.
8
Classifying Variants of Undetermined Significance in BRCA2 with protein likelihood ratios.利用蛋白质似然比分类BRCA2中意义未明的变异体。
Cancer Inform. 2008;6:203-16. doi: 10.4137/cin.s618. Epub 2008 Apr 18.
9
Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.序列变异分类与报告:改善癌症易感性基因检测结果解读的建议
Hum Mutat. 2008 Nov;29(11):1282-91. doi: 10.1002/humu.20880.