Your browser doesn't support javascript.
loading
Tumour characteristics provide evidence for germline mismatch repair missense variant pathogenicity.
Li, Shuwei; Qian, Dajun; Thompson, Bryony A; Gutierrez, Stephanie; Wu, Sitao; Pesaran, Tina; LaDuca, Holly; Lu, Hsiao-Mei; Chao, Elizabeth C; Black, Mary Helen.
Afiliação
  • Li S; Bioinformatics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • Qian D; Bioinformatics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • Thompson BA; Royal Melbourne Hospital, Melbourne, Victoria, Australia.
  • Gutierrez S; Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia.
  • Wu S; Clinical Diagnostics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • Pesaran T; Bioinformatics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • LaDuca H; Clinical Diagnostics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • Lu HM; Clinical Diagnostics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • Chao EC; Bioinformatics, Ambry Genetics Corp, Aliso Viejo, California, USA.
  • Black MH; Clinical Diagnostics, Ambry Genetics Corp, Aliso Viejo, California, USA.
J Med Genet ; 57(1): 62-69, 2020 Jan.
Article em En | MEDLINE | ID: mdl-31391288
ABSTRACT

BACKGROUND:

Pathogenic variants in mismatch repair (MMR) genes (MLH1, MSH2, MSH6 and PMS2) increase risk for Lynch syndrome and related cancers. We quantified tumour characteristics to assess variant pathogenicity for germline MMR genes.

METHODS:

Among 4740 patients with cancer with microsatellite instability (MSI) and immunohistochemical (IHC) results, we tested MMR pathogenic variant association with MSI/IHC status, and estimated likelihood ratios which we used to compute a tumour characteristic likelihood ratio (TCLR) for each variant. Predictive performance of TCLR in combination with in silico predictors, and a multifactorial variant prediction (MVP) model that included allele frequency, co-occurrence, co-segregation, and clinical and family history information was assessed.

RESULTS:

Compared with non-carriers, carriers of germline pathogenic/likely pathogenic (P/LP) variants were more likely to have abnormal MSI/IHC status (p<0.0001). Among 150 classified missense variants, 73.3% were accurately predicted with TCLR alone. Models leveraging in silico scores as prior probabilities accurately classified >76.7% variants. Adding TCLR as quantitative evidence in an MVP model (MVP +TCLR Pred) increased the proportion of accurately classified variants from 88.0% (MVP alone) to 98.0% and generated optimal performance statistics among all models tested. Importantly, MVP +TCLR Pred resulted in the high yield of predicted classifications for missense variants of unknown significance (VUS); among 193 VUS, 62.7% were predicted as P/PL or benign/likely benign (B/LB) when assessed according to American College of Medical Genetics and Genomics/Association for Molecular Pathology guidelines.

CONCLUSION:

Our study demonstrates that when used separately or in conjunction with other evidence, tumour characteristics provide evidence for germline MMR missense variant assessment, which may have important implications for genetic testing and clinical management.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mutação de Sentido Incorreto / Reparo de Erro de Pareamento de DNA / Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Med Genet Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mutação de Sentido Incorreto / Reparo de Erro de Pareamento de DNA / Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Med Genet Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
...