对40多万名女性的分析提供了BRCA1和BRCA2变异分类的病例对照证据

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Maria Zanti, Denise G. O’Mahony, Michael T. Parsons, Leila Dorling, Joe Dennis, Nicholas J. Boddicker, Wenan Chen, Chunling Hu, Marc Naven, Kristia Yiangou, Thomas U. Ahearn, Christine B. Ambrosone, Irene L. Andrulis, Antonis C. Antoniou, Paul L. Auer, Caroline Baynes, Clara Bodelon, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Kristen D. Brantley, Nicola J. Camp, Archie Campbell, Jose E. Castelao, Melissa H. Cessna, Jenny Chang-Claude, Fei Chen, Georgia Chenevix-Trench, Don M. Conroy, Kamila Czene, Arcangela De Nicolo, Susan M. Domchek, Thilo Dörk, Alison M. Dunning, A. Heather Eliassen, D. Gareth Evans, Peter A. Fasching, Jonine D. Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, Gord Glendon, Anna González-Neira, Felix Grassmann, Andreas Hadjisavvas, Christopher A. Haiman, Ute Hamann, Steven N. Hart, Mikael B. A. Hartman, Weang-Kee Ho, James M. Hodge, Reiner Hoppe, Sacha J. Howell, Anna Jakubowska, Elza K. Khusnutdinova, Yon-Dschun Ko, Peter Kraft, Vessela N. Kristensen, James V. Lacey, Jingmei Li, Geok Hoon Lim, Sara Lindström, Artitaya Lophatananon, Craig Luccarini, Arto Mannermaa, Maria Elena Martinez, Dimitrios Mavroudis, Roger L. Milne, Kenneth Muir, Katherine L. Nathanson, Rocio Nuñez-Torres, Nadia Obi, Janet E. Olson, Julie R. Palmer, Mihalis I. Panayiotidis, Alpa V. Patel, Paul D. P. Pharoah, Eric C. Polley, Muhammad U. Rashid, Kathryn J. Ruddy, Emmanouil Saloustros, Elinor J. Sawyer, Marjanka K. Schmidt, Melissa C. Southey, Veronique Kiak-Mien Tan, Soo Hwang Teo, Lauren R. Teras, Diana Torres, Amy Trentham-Dietz, Thérèse Truong, Celine M. Vachon, Qin Wang, Jeffrey N. Weitzel, Siddhartha Yadav, Song Yao, Gary R. Zirpoli, Melissa S. Cline, Peter Devilee, Sean V. Tavtigian, David E. Goldgar, Fergus J. Couch, Douglas F. Easton, Amanda B. Spurdle, Kyriaki Michailidou
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引用次数: 0

摘要

临床基因检测可识别导致遗传性癌症的变异,这些信息可用于风险评估和临床管理。不幸的是,发现的一些变异具有不确定的临床意义(VUS),使患者管理复杂化。病例对照数据是一种用于对VUS进行分类的证据类型。作为基于证据的生殖系突变等位基因解释网络(ENIGMA)分析工作组的一项倡议,我们分析了来自乳腺癌协会联盟的BRIDGES研究、与易感性相关的癌症风险评估联盟和英国生物银行的三项研究中96691例女性乳腺癌病例和302116例对照的BRCA1和BRCA2种系测序数据。我们观察到11207个BRCA1和BRCA2变异,其中6909个编码,覆盖了ClinVar中23.4%的BRCA1和BRCA2 VUS和19.2%的ClinVar策划(可能)良性或致病性变异。病例-对照似然比(ccLR)证据与ClinVar关于(可能的)良性或致病性变异的断言高度一致;BRCA1的敏感性为99.1%,特异性为95.3%,BRCA2的敏感性为93.3%,特异性为86.6%。该方法提供了787未分类变体的病例对照证据;其中579例有强烈或中度良性证据,10例有强烈的致病证据,ccLR证据足以改变临床分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of more than 400,000 women provides case-control evidence for BRCA1 and BRCA2 variant classification

Analysis of more than 400,000 women provides case-control evidence for BRCA1 and BRCA2 variant classification

Clinical genetic testing identifies variants causal for hereditary cancer, information that is used for risk assessment and clinical management. Unfortunately, some variants identified are of uncertain clinical significance (VUS), complicating patient management. Case-control data is one evidence type used to classify VUS. As an initiative of the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) Analytical Working Group we analyze germline sequencing data of BRCA1 and BRCA2 from 96,691 female breast cancer cases and 302,116 controls from three studies: the BRIDGES study of the Breast Cancer Association Consortium, the Cancer Risk Estimates Related to Susceptibility consortium, and the UK Biobank. We observe 11,207 BRCA1 and BRCA2 variants, with 6909 being coding, covering 23.4% of BRCA1 and BRCA2 VUS in ClinVar and 19.2% of ClinVar curated (likely) benign or pathogenic variants. Case-control likelihood ratio (ccLR) evidence is highly consistent with ClinVar assertions for (likely) benign or pathogenic variants; exhibiting 99.1% sensitivity and 95.3% specificity for BRCA1 and 93.3% sensitivity and 86.6% specificity for BRCA2. This approach provides case-control evidence for 787 unclassified variants; these include 579 with strong or moderate benign evidence and 10 with strong pathogenic evidence for which ccLR evidence is sufficient to alter clinical classification.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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