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Assessment of the InSiGHT Interpretation Criteria for the Clinical Classification of 24 MLH1 and MSH2 Gene Variants.
Tricarico, Rossella; Kasela, Mariann; Mareni, Cristina; Thompson, Bryony A; Drouet, Aurélie; Staderini, Lucia; Gorelli, Greta; Crucianelli, Francesca; Ingrosso, Valentina; Kantelinen, Jukka; Papi, Laura; De Angioletti, Maria; Berardi, Margherita; Gaildrat, Pascaline; Soukarieh, Omar; Turchetti, Daniela; Martins, Alexandra; Spurdle, Amanda B; Nyström, Minna; Genuardi, Maurizio.
Afiliación
  • Tricarico R; Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.
  • Kasela M; Cancer Epigenetics and Cancer Biology Programs, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
  • Mareni C; Department of Biosciences, Division of Genetics, University of Helsinki, Helsinki, Finland.
  • Thompson BA; Tuscan Tumor Institute, Florence, Italy.
  • Drouet A; Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
  • Staderini L; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia.
  • Gorelli G; Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France.
  • Crucianelli F; Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.
  • Ingrosso V; Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
  • Kantelinen J; Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.
  • Papi L; Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.
  • De Angioletti M; Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.
  • Berardi M; Department of Biosciences, Division of Genetics, University of Helsinki, Helsinki, Finland.
  • Gaildrat P; Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.
  • Soukarieh O; Cancer Genetics and Gene Transfer - Core Research Laboratory, Istituto Toscano Tumori, Florence, Italy.
  • Turchetti D; ICCOM-CNR, Sesto Fiorentino, Italy.
  • Martins A; Cancer Genetics and Gene Transfer - Core Research Laboratory, Istituto Toscano Tumori, Florence, Italy.
  • Spurdle AB; Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France.
  • Nyström M; Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France.
  • Genuardi M; Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Hum Mutat ; 38(1): 64-77, 2017 01.
Article en En | MEDLINE | ID: mdl-27629256
ABSTRACT
Pathogenicity assessment of DNA variants in disease genes to explain their clinical consequences is an integral component of diagnostic molecular testing. The International Society for Gastrointestinal Hereditary Tumors (InSiGHT) has developed specific criteria for the interpretation of mismatch repair (MMR) gene variants. Here, we performed a systematic investigation of 24 MLH1 and MSH2 variants. The assessments were done by analyzing population frequency, segregation, tumor molecular characteristics, RNA effects, protein expression levels, and in vitro MMR activity. Classifications were confirmed for 15 variants and changed for three, and for the first time determined for six novel variants. Overall, based on our results, we propose the introduction of some refinements to the InSiGHT classification rules. The proposed changes have the advantage of homogenizing the InSIGHT interpretation criteria with those set out by the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium for the BRCA1/BRCA2 genes. We also observed that the addition of only few clinical data was sufficient to obtain a more stable classification for variants considered as "likely pathogenic" or "likely nonpathogenic." This shows the importance of obtaining as many as possible points of evidence for variant interpretation, especially from the clinical setting.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Predisposición Genética a la Enfermedad / Proteína 2 Homóloga a MutS / Estudios de Asociación Genética / Homólogo 1 de la Proteína MutL Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Predisposición Genética a la Enfermedad / Proteína 2 Homóloga a MutS / Estudios de Asociación Genética / Homólogo 1 de la Proteína MutL Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Italia