Jessica N Hatton, Megan N Frone, Hannah C Cox, Stephanie B Crowley, Susan Hiraki, Noriko N Yokoyama, Noura S Abul-Husn, James F Amatruda, Michael J Anderson, Xavier Bofill-De Ros, Ann G Carr, Elizabeth C Chao, Kenneth S Chen, Shuo Gu, Cecilia Higgs, Jerry Machado, Deborah Ritter, Kris Ann Schultz, Emily R Soper, Mona K Wu, Jessica L Mester, Jung Kim, William D Foulkes, Leora Witkowski, Douglas R Stewart
{"title":"生殖系DICER1变异管理ACMG/AMP变异分类指南规范","authors":"Jessica N Hatton, Megan N Frone, Hannah C Cox, Stephanie B Crowley, Susan Hiraki, Noriko N Yokoyama, Noura S Abul-Husn, James F Amatruda, Michael J Anderson, Xavier Bofill-De Ros, Ann G Carr, Elizabeth C Chao, Kenneth S Chen, Shuo Gu, Cecilia Higgs, Jerry Machado, Deborah Ritter, Kris Ann Schultz, Emily R Soper, Mona K Wu, Jessica L Mester, Jung Kim, William D Foulkes, Leora Witkowski, Douglas R Stewart","doi":"10.1155/2023/9537832","DOIUrl":null,"url":null,"abstract":"<p><p>Germline pathogenic variants in <i>DICER1</i> predispose individuals to develop a variety of benign and malignant tumors. Accurate variant curation and classification is essential for reliable diagnosis of <i>DICER1</i>-related tumor predisposition and identification of individuals who may benefit from surveillance. Since 2015, most labs have followed the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) sequence variant classification guidelines for <i>DICER1</i> germline variant curation. However, these general guidelines lack gene-specific nuances and leave room for subjectivity. Consequently, a group of <i>DICER1</i> experts joined ClinGen to form the <i>DICER1</i> and miRNA-Processing Genes Variant Curation Expert Panel (VCEP), to create <i>DICER1</i>- specific ACMG/AMP guidelines for germline variant curation. The VCEP followed the FDA-approved ClinGen protocol for adapting and piloting these guidelines. A diverse set of 40 <i>DICER1</i> variants were selected for piloting, including 14 known Pathogenic/Likely Pathogenic (P/LP) variants, 12 known Benign/Likely Benign (B/LB) variants, and 14 variants classified as variants of uncertain significance (VUS) or with conflicting interpretations in ClinVar. Clinically meaningful classifications (i.e., P, LP, LB, or B) were achieved for 82.5% (33/40) of the pilot variants, with 100% concordance among the known P/LP and known B/LB variants. Half of the VUS or conflicting variants were resolved with four variants classified as LB and three as LP. These results demonstrate that the <i>DICER1</i>-specific guidelines for germline variant curation effectively classify known pathogenic and benign variants while reducing the frequency of uncertain classifications. Individuals and labs curating <i>DICER1</i> variants should consider adopting this classification framework to encourage consistency and improve objectivity.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10713350/pdf/","citationCount":"0","resultStr":"{\"title\":\"Specifications of the ACMG/AMP Variant Classification Guidelines for Germline <i>DICER1</i> Variant Curation.\",\"authors\":\"Jessica N Hatton, Megan N Frone, Hannah C Cox, Stephanie B Crowley, Susan Hiraki, Noriko N Yokoyama, Noura S Abul-Husn, James F Amatruda, Michael J Anderson, Xavier Bofill-De Ros, Ann G Carr, Elizabeth C Chao, Kenneth S Chen, Shuo Gu, Cecilia Higgs, Jerry Machado, Deborah Ritter, Kris Ann Schultz, Emily R Soper, Mona K Wu, Jessica L Mester, Jung Kim, William D Foulkes, Leora Witkowski, Douglas R Stewart\",\"doi\":\"10.1155/2023/9537832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Germline pathogenic variants in <i>DICER1</i> predispose individuals to develop a variety of benign and malignant tumors. Accurate variant curation and classification is essential for reliable diagnosis of <i>DICER1</i>-related tumor predisposition and identification of individuals who may benefit from surveillance. Since 2015, most labs have followed the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) sequence variant classification guidelines for <i>DICER1</i> germline variant curation. However, these general guidelines lack gene-specific nuances and leave room for subjectivity. Consequently, a group of <i>DICER1</i> experts joined ClinGen to form the <i>DICER1</i> and miRNA-Processing Genes Variant Curation Expert Panel (VCEP), to create <i>DICER1</i>- specific ACMG/AMP guidelines for germline variant curation. The VCEP followed the FDA-approved ClinGen protocol for adapting and piloting these guidelines. A diverse set of 40 <i>DICER1</i> variants were selected for piloting, including 14 known Pathogenic/Likely Pathogenic (P/LP) variants, 12 known Benign/Likely Benign (B/LB) variants, and 14 variants classified as variants of uncertain significance (VUS) or with conflicting interpretations in ClinVar. Clinically meaningful classifications (i.e., P, LP, LB, or B) were achieved for 82.5% (33/40) of the pilot variants, with 100% concordance among the known P/LP and known B/LB variants. Half of the VUS or conflicting variants were resolved with four variants classified as LB and three as LP. These results demonstrate that the <i>DICER1</i>-specific guidelines for germline variant curation effectively classify known pathogenic and benign variants while reducing the frequency of uncertain classifications. Individuals and labs curating <i>DICER1</i> variants should consider adopting this classification framework to encourage consistency and improve objectivity.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10713350/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/9537832\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/3/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1155/2023/9537832","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/3/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Specifications of the ACMG/AMP Variant Classification Guidelines for Germline DICER1 Variant Curation.
Germline pathogenic variants in DICER1 predispose individuals to develop a variety of benign and malignant tumors. Accurate variant curation and classification is essential for reliable diagnosis of DICER1-related tumor predisposition and identification of individuals who may benefit from surveillance. Since 2015, most labs have followed the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) sequence variant classification guidelines for DICER1 germline variant curation. However, these general guidelines lack gene-specific nuances and leave room for subjectivity. Consequently, a group of DICER1 experts joined ClinGen to form the DICER1 and miRNA-Processing Genes Variant Curation Expert Panel (VCEP), to create DICER1- specific ACMG/AMP guidelines for germline variant curation. The VCEP followed the FDA-approved ClinGen protocol for adapting and piloting these guidelines. A diverse set of 40 DICER1 variants were selected for piloting, including 14 known Pathogenic/Likely Pathogenic (P/LP) variants, 12 known Benign/Likely Benign (B/LB) variants, and 14 variants classified as variants of uncertain significance (VUS) or with conflicting interpretations in ClinVar. Clinically meaningful classifications (i.e., P, LP, LB, or B) were achieved for 82.5% (33/40) of the pilot variants, with 100% concordance among the known P/LP and known B/LB variants. Half of the VUS or conflicting variants were resolved with four variants classified as LB and three as LP. These results demonstrate that the DICER1-specific guidelines for germline variant curation effectively classify known pathogenic and benign variants while reducing the frequency of uncertain classifications. Individuals and labs curating DICER1 variants should consider adopting this classification framework to encourage consistency and improve objectivity.