• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

临床实验室合作解决提交给 ClinVar 的变异解释差异。

Clinical laboratories collaborate to resolve differences in variant interpretations submitted to ClinVar.

机构信息

Laboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA.

Harvard Medical School, Boston, Massachusetts, USA.

出版信息

Genet Med. 2017 Oct;19(10):1096-1104. doi: 10.1038/gim.2017.14. Epub 2017 Mar 16.

DOI:10.1038/gim.2017.14
PMID:28301460
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5600649/
Abstract

PURPOSE

Data sharing through ClinVar offers a unique opportunity to identify interpretation differences between laboratories. As part of a ClinGen initiative, four clinical laboratories (Ambry, GeneDx, Partners Healthcare Laboratory for Molecular Medicine, and University of Chicago Genetic Services Laboratory) collaborated to identify the basis of interpretation differences and to investigate if data sharing and reassessment resolve interpretation differences by analyzing a subset of variants.

METHODS

ClinVar variants with submissions from at least two of the four participating laboratories were compared. For a subset of identified differences, laboratories documented the basis for discordance, shared internal data, independently reassessed with the American College of Medical Genetics and Genomics-Association for Molecular Pathology (ACMG-AMP) guidelines, and then compared interpretations.

RESULTS

At least two of the participating laboratories interpreted 6,169 variants in ClinVar, of which 88.3% were initially concordant. Laboratories reassessed 242/724 initially discordant variants, of which 87.2% (211) were resolved by reassessment with current criteria and/or internal data sharing; 12.8% (31) of reassessed variants remained discordant owing to differences in the application of the ACMG-AMP guidelines.

CONCLUSION

Participating laboratories increased their overall concordance from 88.3 to 91.7%, indicating that sharing variant interpretations in ClinVar-thereby allowing identification of differences and motivation to resolve those differences-is critical to moving toward more consistent variant interpretations.Genet Med advance online publication 09 March 2017.

摘要

目的

通过 ClinVar 进行数据共享为鉴定实验室间的解读差异提供了独特的机会。作为 ClinGen 计划的一部分,四个临床实验室(Ambry、GeneDx、Partners Healthcare 分子医学实验室和芝加哥大学遗传服务实验室)合作,通过分析一部分变体来确定解读差异的基础,并调查数据共享和重新评估是否可以解决解读差异。

方法

对至少有两个参与实验室提交的 ClinVar 变体进行了比较。对于确定的差异子集,实验室记录了不一致的依据,共享内部数据,独立地根据美国医学遗传学学院-分子病理学协会(ACMG-AMP)指南重新评估,然后比较解读结果。

结果

至少有两个参与实验室在 ClinVar 中解读了 6169 个变体,其中 88.3%的变体最初是一致的。实验室重新评估了 724 个最初不一致的变体中的 242 个,其中 87.2%(211 个)通过重新评估当前标准和/或内部数据共享得到解决;12.8%(31 个)重新评估的变体由于 ACMG-AMP 指南的应用差异仍然不一致。

结论

参与实验室的总体一致性从 88.3%提高到 91.7%,这表明在 ClinVar 中共享变体解读——从而可以识别差异并解决这些差异——对于朝着更一致的变体解读方向发展至关重要。遗传医学在线发表 2017 年 3 月 9 日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/9bf50bf7c0eb/nihms853375f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/e4c0192550b8/nihms853375f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/f45f1b33e42e/nihms853375f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/16f8eae963a5/nihms853375f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/9bf50bf7c0eb/nihms853375f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/e4c0192550b8/nihms853375f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/f45f1b33e42e/nihms853375f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/16f8eae963a5/nihms853375f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16c/5600649/9bf50bf7c0eb/nihms853375f4.jpg

相似文献

1
Clinical laboratories collaborate to resolve differences in variant interpretations submitted to ClinVar.临床实验室合作解决提交给 ClinVar 的变异解释差异。
Genet Med. 2017 Oct;19(10):1096-1104. doi: 10.1038/gim.2017.14. Epub 2017 Mar 16.
2
Performance of ACMG-AMP Variant-Interpretation Guidelines among Nine Laboratories in the Clinical Sequencing Exploratory Research Consortium.临床测序探索性研究联盟中九个实验室对ACMG-AMP变异解读指南的执行情况。
Am J Hum Genet. 2016 Jun 2;98(6):1067-1076. doi: 10.1016/j.ajhg.2016.03.024. Epub 2016 May 12.
3
Variant Classification Concordance using the ACMG-AMP Variant Interpretation Guidelines across Nine Genomic Implementation Research Studies.使用 ACMG-AMP 变异解释指南对九个基因组实施研究进行变异分类一致性评估。
Am J Hum Genet. 2020 Nov 5;107(5):932-941. doi: 10.1016/j.ajhg.2020.09.011. Epub 2020 Oct 26.
4
Scaling resolution of variant classification differences in ClinVar between 41 clinical laboratories through an outlier approach.通过异常值方法缩小 ClinVar 中 41 个临床实验室之间变异分类差异的分辨率。
Hum Mutat. 2018 Nov;39(11):1641-1649. doi: 10.1002/humu.23643.
5
ClinVar at five years: Delivering on the promise.ClinVar 五年:兑现承诺。
Hum Mutat. 2018 Nov;39(11):1623-1630. doi: 10.1002/humu.23641.
6
ClinGen's RASopathy Expert Panel consensus methods for variant interpretation.ClinGen 的 RASopathy 专家小组用于变异解释的共识方法。
Genet Med. 2018 Nov;20(11):1334-1345. doi: 10.1038/gim.2018.3. Epub 2018 Mar 1.
7
The value of genomic variant ClinVar submissions from clinical providers: Beyond the addition of novel variants.临床医生提交的基因组变异体 ClinVar 数据的价值:不仅仅是增加新的变异体。
Hum Mutat. 2018 Nov;39(11):1660-1667. doi: 10.1002/humu.23607.
8
Adapting ACMG/AMP sequence variant classification guidelines for single-gene copy number variants.适应 ACMG/AMP 序列变异分类指南用于单基因拷贝数变异。
Genet Med. 2020 Feb;22(2):336-344. doi: 10.1038/s41436-019-0655-2. Epub 2019 Sep 19.
9
Clinical Interpretation of Sequence Variants.序列变异的临床解读。
Curr Protoc Hum Genet. 2020 Jun;106(1):e98. doi: 10.1002/cphg.98.
10
Disease-specific ACMG/AMP guidelines improve sequence variant interpretation for hearing loss.特定疾病的 ACMG/AMP 指南可改善听力损失相关序列变异的解读。
Genet Med. 2021 Nov;23(11):2208-2212. doi: 10.1038/s41436-021-01254-2. Epub 2021 Jul 6.

引用本文的文献

1
varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.可变CADD:大量的常见遗传变异有助于全基因组致病性预测。
Genome Med. 2025 Aug 4;17(1):84. doi: 10.1186/s13073-025-01517-6.
2
Updated ACMG/AMP specifications for variant interpretation and gene curations from the ClinGen RASopathy expert panels.来自ClinGen RASopathy专家小组的ACMG/AMP变异解读和基因管理规范更新版。
Genet Med Open. 2025 Apr 17;3:103430. doi: 10.1016/j.gimo.2025.103430. eCollection 2025.
3
Insights on improving accessibility and usability of functional data to unlock their potential for variant interpretation.

本文引用的文献

1
Conflicting Interpretation of Genetic Variants and Cancer Risk by Commercial Laboratories as Assessed by the Prospective Registry of Multiplex Testing.通过多重检测前瞻性登记处评估商业实验室对基因变异与癌症风险的相互矛盾解读。
J Clin Oncol. 2016 Dec;34(34):4071-4078. doi: 10.1200/JCO.2016.68.4316. Epub 2016 Sep 30.
2
Analysis of protein-coding genetic variation in 60,706 humans.对60706名人类的蛋白质编码基因变异进行分析。
Nature. 2016 Aug 18;536(7616):285-91. doi: 10.1038/nature19057.
3
Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.
关于提高功能数据的可及性和可用性以释放其变异解读潜力的见解。
Am J Hum Genet. 2025 Jun 5;112(6):1468-1478. doi: 10.1016/j.ajhg.2025.04.009.
4
Reasons and Resolutions for Inconsistent Variant Interpretation.变异解读不一致的原因及解决方案。
Hum Mutat. 2023 May 22;2023:4955235. doi: 10.1155/2023/4955235. eCollection 2023.
5
Precision genome editing and in-cell measurements of oxidative DNA damage repair enable functional and mechanistic characterization of cancer-associated MUTYH variants.精确基因组编辑和细胞内氧化性DNA损伤修复测量能够对癌症相关的MUTYH变异体进行功能和机制表征。
Nucleic Acids Res. 2025 Mar 20;53(6). doi: 10.1093/nar/gkaf037.
6
The new newborn screening.新的新生儿筛查。
Nat Med. 2025 Apr;31(4):1075-1076. doi: 10.1038/s41591-025-03567-0.
7
PTEN mutations impair CSF dynamics and cortical networks by dysregulating periventricular neural progenitors.PTEN 突变通过失调脑室周围神经祖细胞来损害脑脊液动力学和皮质网络。
Nat Neurosci. 2025 Mar;28(3):536-557. doi: 10.1038/s41593-024-01865-3. Epub 2025 Feb 24.
8
Insights on improving accessibility and usability of functional data to unlock its potential for variant interpretation.关于提高功能数据的可及性和可用性以释放其在变异解读方面潜力的见解。
medRxiv. 2025 Jan 27:2025.01.25.25321117. doi: 10.1101/2025.01.25.25321117.
9
The Challenge of VUS in Inherited Retinal Degeneration: Insight from Functional Studies.遗传性视网膜变性中意义未明变异的挑战:功能研究的见解
Adv Exp Med Biol. 2025;1468:51-55. doi: 10.1007/978-3-031-76550-6_9.
10
Interpretation and classification of FBN1 variants associated with Marfan syndrome: consensus recommendations from the Clinical Genome Resource's FBN1 variant curation expert panel.与马凡综合征相关的FBN1基因变异的解读与分类:临床基因组资源FBN1基因变异管理专家小组的共识建议
Genome Med. 2024 Dec 31;16(1):154. doi: 10.1186/s13073-024-01423-3.
临床实践中放射科医生对乳腺钼靶密度评估的差异:一项多中心观察性研究。
Ann Intern Med. 2016 Oct 4;165(7):457-464. doi: 10.7326/M15-2934. Epub 2016 Jul 19.
4
Consideration of Cosegregation in the Pathogenicity Classification of Genomic Variants.基因组变异致病性分类中共同分离的考量
Am J Hum Genet. 2016 Jun 2;98(6):1077-1081. doi: 10.1016/j.ajhg.2016.04.003. Epub 2016 May 26.
5
Performance of ACMG-AMP Variant-Interpretation Guidelines among Nine Laboratories in the Clinical Sequencing Exploratory Research Consortium.临床测序探索性研究联盟中九个实验室对ACMG-AMP变异解读指南的执行情况。
Am J Hum Genet. 2016 Jun 2;98(6):1067-1076. doi: 10.1016/j.ajhg.2016.03.024. Epub 2016 May 12.
6
Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine.临床测序探索性研究联盟:加速基于证据的基因组医学实践。
Am J Hum Genet. 2016 Jun 2;98(6):1051-1066. doi: 10.1016/j.ajhg.2016.04.011. Epub 2016 May 12.
7
Evaluation of ACMG-Guideline-Based Variant Classification of Cancer Susceptibility and Non-Cancer-Associated Genes in Families Affected by Breast Cancer.基于美国医学遗传学与基因组学学会(ACMG)指南对乳腺癌家族中癌症易感性基因和非癌症相关基因变异分类的评估
Am J Hum Genet. 2016 May 5;98(5):801-817. doi: 10.1016/j.ajhg.2016.02.024.
8
ClinVar: public archive of interpretations of clinically relevant variants.ClinVar:临床相关变异解读的公共存档库。
Nucleic Acids Res. 2016 Jan 4;44(D1):D862-8. doi: 10.1093/nar/gkv1222. Epub 2015 Nov 17.
9
ClinGen--the Clinical Genome Resource.ClinGen——临床基因组资源。
N Engl J Med. 2015 Jun 4;372(23):2235-42. doi: 10.1056/NEJMsr1406261. Epub 2015 May 27.
10
The challenge of comprehensive and consistent sequence variant interpretation between clinical laboratories.临床实验室之间全面且一致的序列变异解释的挑战。
Genet Med. 2016 Jan;18(1):20-4. doi: 10.1038/gim.2015.31. Epub 2015 Apr 2.