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A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).基于多因素概率的 BRCA1 和 BRCA2 意义未明变异体(VUS)分类模型的回顾。
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本文引用的文献

1
Comprehensive prediction of mRNA splicing effects of BRCA1 and BRCA2 variants.BRCA1 和 BRCA2 变异体的 mRNA 剪接效应的综合预测。
Hum Mutat. 2011 Jul;32(7):735-42. doi: 10.1002/humu.21513. Epub 2011 May 5.
2
A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1.一种使用功能测定数据对意义未明的变异进行分类的计算方法及其在 BRCA1 中的应用。
Cancer Epidemiol Biomarkers Prev. 2011 Jun;20(6):1078-88. doi: 10.1158/1055-9965.EPI-10-1214. Epub 2011 Mar 29.
3
Splicing and multifactorial analysis of intronic BRCA1 and BRCA2 sequence variants identifies clinically significant splicing aberrations up to 12 nucleotides from the intron/exon boundary.剪接和多因素分析内含子 BRCA1 和 BRCA2 序列变异体,鉴定了距内含子/外显子边界达 12 个核苷酸的临床上显著的剪接异常。
Hum Mutat. 2011 Jun;32(6):678-87. doi: 10.1002/humu.21495. Epub 2011 Apr 12.
4
Genetic testing and cancer risk management recommendations by physicians for at-risk relatives.医生为高危亲属提供的基因检测和癌症风险管理建议。
Genet Med. 2011 Feb;13(2):148-54. doi: 10.1097/GIM.0b013e318207f564.
5
The role of BRCA mutation testing in determining breast cancer therapy.BRCA 突变检测在乳腺癌治疗中的作用。
Nat Rev Clin Oncol. 2010 Dec;7(12):708-17. doi: 10.1038/nrclinonc.2010.175. Epub 2010 Nov 9.
6
Massively parallel sequencing and rare disease.大规模并行测序与罕见病。
Hum Mol Genet. 2010 Oct 15;19(R2):R119-24. doi: 10.1093/hmg/ddq390. Epub 2010 Sep 15.
7
Detection of inherited mutations for breast and ovarian cancer using genomic capture and massively parallel sequencing.使用基因组捕获和大规模平行测序检测乳腺癌和卵巢癌的遗传突变。
Proc Natl Acad Sci U S A. 2010 Jul 13;107(28):12629-33. doi: 10.1073/pnas.1007983107. Epub 2010 Jun 28.
8
Detection of splicing aberrations caused by BRCA1 and BRCA2 sequence variants encoding missense substitutions: implications for prediction of pathogenicity.检测编码错义替换的 BRCA1 和 BRCA2 序列变异引起的剪接异常:对致病性预测的影响。
Hum Mutat. 2010 Jun;31(6):E1484-505. doi: 10.1002/humu.21267.
9
Clinical relevance of rare germline sequence variants in cancer genes: evolution and application of classification models.癌症基因中罕见种系序列变异的临床相关性:分类模型的演进与应用。
Curr Opin Genet Dev. 2010 Jun;20(3):315-23. doi: 10.1016/j.gde.2010.03.009. Epub 2010 Apr 22.
10
American Society of Clinical Oncology policy statement update: genetic and genomic testing for cancer susceptibility.美国临床肿瘤学会政策声明更新:癌症易感性的基因和基因组检测
J Clin Oncol. 2010 Feb 10;28(5):893-901. doi: 10.1200/JCO.2009.27.0660. Epub 2010 Jan 11.

ENIGMA--基于证据的种系突变等位基因解释网络:一项旨在评估 BRCA1 和 BRCA2 基因序列变异相关风险和临床意义的国际倡议。

ENIGMA--evidence-based network for the interpretation of germline mutant alleles: an international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes.

机构信息

Queensland Institute of Medical Research, Brisbane, Australia.

出版信息

Hum Mutat. 2012 Jan;33(1):2-7. doi: 10.1002/humu.21628. Epub 2011 Nov 3.

DOI:10.1002/humu.21628
PMID:21990146
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3240687/
Abstract

As genetic testing for predisposition to human diseases has become an increasingly common practice in medicine, the need for clear interpretation of the test results is apparent. However, for many disease genes, including the breast cancer susceptibility genes BRCA1 and BRCA2, a significant fraction of tests results in the detection of a genetic variant for which disease association is not known. The finding of an "unclassified" variant (UV)/variant of uncertain significance (VUS) complicates genetic test reporting and counseling. As these variants are individually rare, a large collaboration of researchers and clinicians will facilitate studies to assess their association with cancer predisposition. It was with this in mind that the ENIGMA consortium (www.enigmaconsortium.org) was initiated in 2009. The membership is both international and interdisciplinary, and currently includes more than 100 research scientists and clinicians from 19 countries. Within ENIGMA, there are presently six working groups focused on the following topics: analysis, clinical, database, functional, tumor histopathology, and mRNA splicing. ENIGMA provides a mechanism to pool resources, exchange methods and data, and coordinately develop and apply algorithms for classification of variants in BRCA1 and BRCA2. It is envisaged that the research and clinical application of models developed by ENIGMA will be relevant to the interpretation of sequence variants in other disease genes.

摘要

随着针对人类疾病易感性的基因检测在医学中变得越来越普遍,对测试结果进行清晰解释的需求变得显而易见。然而,对于许多疾病基因,包括乳腺癌易感性基因 BRCA1 和 BRCA2,相当一部分测试结果检测到一种与疾病关联未知的遗传变异。发现“未分类”(UV)/意义不确定的变异(VUS)使基因检测报告和咨询变得复杂。由于这些变体在个体中较为罕见,因此需要研究人员和临床医生的大量合作,以评估它们与癌症易感性的关联。正是出于这个原因,ENIGMA 联盟(www.enigmaconsortium.org)于 2009 年成立。该联盟的成员既有国际性的,也有跨学科的,目前包括来自 19 个国家的 100 多名研究科学家和临床医生。在 ENIGMA 内部,目前有六个工作组专注于以下主题:分析、临床、数据库、功能、肿瘤组织病理学和 mRNA 剪接。ENIGMA 提供了一种汇集资源、交流方法和数据的机制,并协调开发和应用用于分类 BRCA1 和 BRCA2 中变异的算法。预计 ENIGMA 开发的模型的研究和临床应用将与其他疾病基因中序列变异的解释相关。