Laurence Pacot , Manuela Ye , Juliette Nectoux , Ingrid Laurendeau , Audrey Briand-Suleau , Audrey Coustier , Théodora Maillard , Cécile Barbance , Lucie Orhant , Nicolas Vaucouleur , Hélène Blanché , Béatrice Parfait , Pierre Wolkenstein , Michel Vidaud
{"title":"快速准确表征NF1基因座缺失的微滴数字PCR:确认1型缺失的主要母系来源。","authors":"Laurence Pacot , Manuela Ye , Juliette Nectoux , Ingrid Laurendeau , Audrey Briand-Suleau , Audrey Coustier , Théodora Maillard , Cécile Barbance , Lucie Orhant , Nicolas Vaucouleur , Hélène Blanché , Béatrice Parfait , Pierre Wolkenstein , Michel Vidaud","doi":"10.1016/j.jmoldx.2023.11.005","DOIUrl":null,"url":null,"abstract":"<div><p>Neurofibromatosis type-1 is a genetic disorder caused by loss-of-function variants in the tumor-suppressor <em>NF1</em>. Approximately 4% to 11% of neurofibromatosis type-1 patients have a <em>NF1</em> locus complete deletion resulting from nonallelic homologous recombination between low copy repeats. Codeleted genes probably account for the more severe phenotype observed in <em>NF1</em>-deleted patients. This genotype–phenotype correlation highlights the need for a detailed molecular description. A droplet digital PCR (ddPCR) set along the <em>NF1</em> locus was designed to delimitate the three recurrent <em>NF1</em> deletion breakpoints. The ddPCR was tested in 121 samples from nonrelated <em>NF1</em>-deleted patients. Classification based on ddPCR versus multiplex ligation-dependent probe amplification (MLPA) was compared. In addition, microsatellites were analyzed to identify parental origin of deletions. ddPCR identified 77 type-1 (64%), 20 type-2 (16%), 7 type-3 (6%), and 17 atypical deletions (14%). The results were comparable with MLPA, except for three atypical deletions misclassified as type-2 using MLPA, for which the <em>SUZ12</em> gene was not deleted. A significant maternal bias (25 of 30) in the origin of deletions was identified. This study proposes a fast and efficient ddPCR quantification to allow fine <em>NF1</em> deletion classification. It indicates that ddPCR can be implemented easily into routine diagnosis to complement the techniques dedicated to <em>NF1</em> point variant identification. This new tool may help unravel the genetic basis conditioning phenotypic variability in <em>NF1</em>-deleted patients and offer tailored genetic counseling.</p></div>","PeriodicalId":50128,"journal":{"name":"Journal of Molecular Diagnostics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1525157823002763/pdfft?md5=57654943895205e96425f468799dde72&pid=1-s2.0-S1525157823002763-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Droplet Digital PCR for Fast and Accurate Characterization of NF1 Locus Deletions\",\"authors\":\"Laurence Pacot , Manuela Ye , Juliette Nectoux , Ingrid Laurendeau , Audrey Briand-Suleau , Audrey Coustier , Théodora Maillard , Cécile Barbance , Lucie Orhant , Nicolas Vaucouleur , Hélène Blanché , Béatrice Parfait , Pierre Wolkenstein , Michel Vidaud\",\"doi\":\"10.1016/j.jmoldx.2023.11.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Neurofibromatosis type-1 is a genetic disorder caused by loss-of-function variants in the tumor-suppressor <em>NF1</em>. Approximately 4% to 11% of neurofibromatosis type-1 patients have a <em>NF1</em> locus complete deletion resulting from nonallelic homologous recombination between low copy repeats. Codeleted genes probably account for the more severe phenotype observed in <em>NF1</em>-deleted patients. This genotype–phenotype correlation highlights the need for a detailed molecular description. A droplet digital PCR (ddPCR) set along the <em>NF1</em> locus was designed to delimitate the three recurrent <em>NF1</em> deletion breakpoints. The ddPCR was tested in 121 samples from nonrelated <em>NF1</em>-deleted patients. Classification based on ddPCR versus multiplex ligation-dependent probe amplification (MLPA) was compared. In addition, microsatellites were analyzed to identify parental origin of deletions. ddPCR identified 77 type-1 (64%), 20 type-2 (16%), 7 type-3 (6%), and 17 atypical deletions (14%). The results were comparable with MLPA, except for three atypical deletions misclassified as type-2 using MLPA, for which the <em>SUZ12</em> gene was not deleted. A significant maternal bias (25 of 30) in the origin of deletions was identified. This study proposes a fast and efficient ddPCR quantification to allow fine <em>NF1</em> deletion classification. It indicates that ddPCR can be implemented easily into routine diagnosis to complement the techniques dedicated to <em>NF1</em> point variant identification. This new tool may help unravel the genetic basis conditioning phenotypic variability in <em>NF1</em>-deleted patients and offer tailored genetic counseling.</p></div>\",\"PeriodicalId\":50128,\"journal\":{\"name\":\"Journal of Molecular Diagnostics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1525157823002763/pdfft?md5=57654943895205e96425f468799dde72&pid=1-s2.0-S1525157823002763-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Diagnostics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1525157823002763\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Diagnostics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1525157823002763","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
Droplet Digital PCR for Fast and Accurate Characterization of NF1 Locus Deletions
Neurofibromatosis type-1 is a genetic disorder caused by loss-of-function variants in the tumor-suppressor NF1. Approximately 4% to 11% of neurofibromatosis type-1 patients have a NF1 locus complete deletion resulting from nonallelic homologous recombination between low copy repeats. Codeleted genes probably account for the more severe phenotype observed in NF1-deleted patients. This genotype–phenotype correlation highlights the need for a detailed molecular description. A droplet digital PCR (ddPCR) set along the NF1 locus was designed to delimitate the three recurrent NF1 deletion breakpoints. The ddPCR was tested in 121 samples from nonrelated NF1-deleted patients. Classification based on ddPCR versus multiplex ligation-dependent probe amplification (MLPA) was compared. In addition, microsatellites were analyzed to identify parental origin of deletions. ddPCR identified 77 type-1 (64%), 20 type-2 (16%), 7 type-3 (6%), and 17 atypical deletions (14%). The results were comparable with MLPA, except for three atypical deletions misclassified as type-2 using MLPA, for which the SUZ12 gene was not deleted. A significant maternal bias (25 of 30) in the origin of deletions was identified. This study proposes a fast and efficient ddPCR quantification to allow fine NF1 deletion classification. It indicates that ddPCR can be implemented easily into routine diagnosis to complement the techniques dedicated to NF1 point variant identification. This new tool may help unravel the genetic basis conditioning phenotypic variability in NF1-deleted patients and offer tailored genetic counseling.
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.