Literature DB >> 33280026

A Collaborative Effort to Define Classification Criteria for ATM Variants in Hereditary Cancer Patients.

Lidia Feliubadaló1,2,3, Alejandro Moles-Fernández4, Marta Santamariña-Pena5,6,7, Alysson T Sánchez1,2, Anael López-Novo5,6, Luz-Marina Porras8, Ana Blanco5,6,7, Gabriel Capellá1,2,3, Miguel de la Hoya3,9, Ignacio J Molina10, Ana Osorio7,11, Marta Pineda1,2,3, Daniel Rueda12, Xavier de la Cruz8,13, Orland Diez4,14, Clara Ruiz-Ponte5,6,7, Sara Gutiérrez-Enríquez4, Ana Vega5,6,7, Conxi Lázaro1,2,3.   

Abstract

BACKGROUND: Gene panel testing by massive parallel sequencing has increased the diagnostic yield but also the number of variants of uncertain significance. Clinical interpretation of genomic data requires expertise for each gene and disease. Heterozygous ATM pathogenic variants increase the risk of cancer, particularly breast cancer. For this reason, ATM is included in most hereditary cancer panels. It is a large gene, showing a high number of variants, most of them of uncertain significance. Hence, we initiated a collaborative effort to improve and standardize variant classification for the ATM gene.
METHODS: Six independent laboratories collected information from 766 ATM variant carriers harboring 283 different variants. Data were submitted in a consensus template form, variant nomenclature and clinical information were curated, and monthly team conferences were established to review and adapt American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) criteria to ATM, which were used to classify 50 representative variants.
RESULTS: Amid 283 different variants, 99 appeared more than once, 35 had differences in classification among laboratories. Refinement of ACMG/AMP criteria to ATM involved specification for twenty-one criteria and adjustment of strength for fourteen others. Afterwards, 50 variants carried by 254 index cases were classified with the established framework resulting in a consensus classification for all of them and a reduction in the number of variants of uncertain significance from 58% to 42%.
CONCLUSIONS: Our results highlight the relevance of data sharing and data curation by multidisciplinary experts to achieve improved variant classification that will eventually improve clinical management. © American Association for Clinical Chemistry 2020.

Entities:  

Keywords:  (5): ATM; ACMG/AMP guidelines; Spanish database; hereditary cancer; variant classification

Year:  2020        PMID: 33280026     DOI: 10.1093/clinchem/hvaa250

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  3 in total

1.  Identification of Spliceogenic Variants beyond Canonical GT-AG Splice Sites in Hereditary Cancer Genes.

Authors:  Vita Šetrajčič Dragoš; Ksenija Strojnik; Gašper Klančar; Petra Škerl; Vida Stegel; Ana Blatnik; Marta Banjac; Mateja Krajc; Srdjan Novaković
Journal:  Int J Mol Sci       Date:  2022-07-04       Impact factor: 6.208

2.  Germline Testing in a Cohort of Patients at High Risk of Hereditary Cancer Predisposition Syndromes: First Two-Year Results from South Italy.

Authors:  Francesco Paduano; Emma Colao; Fernanda Fabiani; Valentina Rocca; Francesca Dinatolo; Adele Dattola; Lucia D'Antona; Rosario Amato; Francesco Trapasso; Francesco Baudi; Nicola Perrotti; Rodolfo Iuliano
Journal:  Genes (Basel)       Date:  2022-07-21       Impact factor: 4.141

3.  Minigene-based splicing analysis and ACMG/AMP-based tentative classification of 56 ATM variants.

Authors:  Elena Bueno-Martínez; Lara Sanoguera-Miralles; Alberto Valenzuela-Palomo; Ada Esteban-Sánchez; Víctor Lorca; Inés Llinares-Burguet; Jamie Allen; Alicia García-Álvarez; Pedro Pérez-Segura; Mercedes Durán; Douglas F Easton; Peter Devilee; Maaike Pg Vreeswijk; Miguel de la Hoya; Eladio A Velasco-Sampedro
Journal:  J Pathol       Date:  2022-07-15       Impact factor: 9.883

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.