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The hospital Israelita Albert Einstein standards for constitutional sequence variants classification: version 2023

Authors :
Quaio, Caio Robledo D’Angioli Costa
Ceroni, José Ricardo Magliocco
Pereira, Michele Araújo
Teixeira, Anne Caroline Barbosa
Yamada, Renata Yoshiko
Cintra, Vivian Pedigone
Perrone, Eduardo
De França, Marina
Chen, Kelin
Minillo, Renata Moldenhauer
Biondo, Cheysa Arielly
de Mello, Mariana Rezende Bandeira
Moura, Lais Rodrigues
do Nascimento, Amanda Thamires Batista
de Oliveira Pelegrino, Karla
de Lima, Larissa Barbosa
do Amaral Virmond, Luiza
Moreno, Carolina Araujo
Prota, Joana Rosa Marques
de Araujo Espolaor, Jessica Grasiela
Silva, Thiago Yoshinaga Tonholo
Moraes, Gabriel Hideki Izuka
de Oliveira, Gustavo Santos
Moura, Livia Maria Silva
Caraciolo, Marcel Pinheiro
Guedes, Rafael Lucas Muniz
Gretschischkin, Michel Chieregato
Chazanas, Pedro Lui Nigro
Nakamura, Carolina Naomi Izo
de Souza Reis, Rodrigo
Toledo, Carmen Melo
Lage, Fernanda Stussi Duarte
de Almeida, Giovanna Bloise
do Nascimento Júnior, José Bandeira
Cardoso, Milena Andreuzo
de Paula Azevedo, Victor
de Almeida, Tatiana Ferreira
Cervato, Murilo Castro
de Oliveira Filho, Joao Bosco
Source :
Human Genomics; December 2023, Vol. 17 Issue: 1
Publication Year :
2023

Abstract

Background: Next-generation sequencing has had a significant impact on genetic disease diagnosis, but the interpretation of the vast amount of genomic data it generates can be challenging. To address this, the American College of Medical Genetics and Genomics and the Association for Molecular Pathology have established guidelines for standardized variant interpretation. In this manuscript, we present the updated Hospital Israelita Albert Einstein Standards for Constitutional Sequence Variants Classification, incorporating modifications from leading genetics societies and the ClinGen initiative. Results: First, we standardized the scientific publications, documents, and other reliable sources for this document to ensure an evidence-based approach. Next, we defined the databases that would provide variant information for the classification process, established the terminology for molecular findings, set standards for disease-gene associations, and determined the nomenclature for classification criteria. Subsequently, we defined the general rules for variant classification and the Bayesian statistical reasoning principles to enhance this process. We also defined bioinformatics standards for automated classification. Our workgroup adhered to gene-specific rules and workflows curated by the ClinGen Variant Curation Expert Panels whenever available. Additionally, a distinct set of specifications for criteria modulation was created for cancer genes, recognizing their unique characteristics. Conclusions: The development of an internal consensus and standards for constitutional sequence variant classification, specifically adapted to the Brazilian population, further contributes to the continuous refinement of variant classification practices. The aim of these efforts from the workgroup is to enhance the reliability and uniformity of variant classification.

Details

Language :
English
ISSN :
14739542 and 14797364
Volume :
17
Issue :
1
Database :
Supplemental Index
Journal :
Human Genomics
Publication Type :
Periodical
Accession number :
ejs64530219
Full Text :
https://doi.org/10.1186/s40246-023-00549-6