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1.
Genet Med ; 21(4): 972-981, 2019 04.
Artículo en Inglés | MEDLINE | ID: mdl-30287923

RESUMEN

PURPOSE: Following automated variant calling, manual review of aligned read sequences is required to identify a high-quality list of somatic variants. Despite widespread use in analyzing sequence data, methods to standardize manual review have not been described, resulting in high inter- and intralab variability. METHODS: This manual review standard operating procedure (SOP) consists of methods to annotate variants with four different calls and 19 tags. The calls indicate a reviewer's confidence in each variant and the tags indicate commonly observed sequencing patterns and artifacts that inform the manual review call. Four individuals were asked to classify variants prior to, and after, reading the SOP and accuracy was assessed by comparing reviewer calls with orthogonal validation sequencing. RESULTS: After reading the SOP, average accuracy in somatic variant identification increased by 16.7% (p value = 0.0298) and average interreviewer agreement increased by 12.7% (p value < 0.001). Manual review conducted after reading the SOP did not significantly increase reviewer time. CONCLUSION: This SOP supports and enhances manual somatic variant detection by improving reviewer accuracy while reducing the interreviewer variability for variant calling and annotation.


Asunto(s)
Secuenciación de Nucleótidos de Alto Rendimiento/normas , Mutación/genética , Neoplasias/genética , Programas Informáticos , Algoritmos , Humanos , Neoplasias/patología , Polimorfismo de Nucleótido Simple/genética , Alineación de Secuencia
2.
Genome Med ; 11(1): 76, 2019 11 29.
Artículo en Inglés | MEDLINE | ID: mdl-31779674

RESUMEN

Manually curated variant knowledgebases and their associated knowledge models are serving an increasingly important role in distributing and interpreting variants in cancer. These knowledgebases vary in their level of public accessibility, and the complexity of the models used to capture clinical knowledge. CIViC (Clinical Interpretation of Variants in Cancer - www.civicdb.org) is a fully open, free-to-use cancer variant interpretation knowledgebase that incorporates highly detailed curation of evidence obtained from peer-reviewed publications and meeting abstracts, and currently holds over 6300 Evidence Items for over 2300 variants derived from over 400 genes. CIViC has seen increased adoption by, and also undertaken collaboration with, a wide range of users and organizations involved in research. To enhance CIViC's clinical value, regular submission to the ClinVar database and pursuit of other regulatory approvals is necessary. For this reason, a formal peer reviewed curation guideline and discussion of the underlying principles of curation is needed. We present here the CIViC knowledge model, standard operating procedures (SOP) for variant curation, and detailed examples to support community-driven curation of cancer variants.


Asunto(s)
Competencia Clínica , Susceptibilidad a Enfermedades , Bases del Conocimiento , Neoplasias/diagnóstico , Neoplasias/etiología , Pautas de la Práctica en Medicina , Manejo de la Enfermedad , Humanos , Modelos Teóricos , Neoplasias/terapia
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