Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)
- PMID: 31690835
- PMCID: PMC7313390
- DOI: 10.1038/s41436-019-0686-8
Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)
Erratum in
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Correction: Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen).Genet Med. 2021 Nov;23(11):2230. doi: 10.1038/s41436-021-01150-9. Genet Med. 2021. PMID: 33731880 No abstract available.
Abstract
Purpose: Copy-number analysis to detect disease-causing losses and gains across the genome is recommended for the evaluation of individuals with neurodevelopmental disorders and/or multiple congenital anomalies, as well as for fetuses with ultrasound abnormalities. In the decade that this analysis has been in widespread clinical use, tremendous strides have been made in understanding the effects of copy-number variants (CNVs) in both affected individuals and the general population. However, continued broad implementation of array and next-generation sequencing-based technologies will expand the types of CNVs encountered in the clinical setting, as well as our understanding of their impact on human health.
Methods: To assist clinical laboratories in the classification and reporting of CNVs, irrespective of the technology used to identify them, the American College of Medical Genetics and Genomics has developed the following professional standards in collaboration with the National Institutes of Health (NIH)-funded Clinical Genome Resource (ClinGen) project.
Results: This update introduces a quantitative, evidence-based scoring framework; encourages the implementation of the five-tier classification system widely used in sequence variant classification; and recommends "uncoupling" the evidence-based classification of a variant from its potential implications for a particular individual.
Conclusion: These professional standards will guide the evaluation of constitutional CNVs and encourage consistency and transparency across clinical laboratories.
Keywords: CNV; classification; copy-number variant; interpretation; scoring metric.
Conflict of interest statement
Conflict of Interest Notification Page
Erin Rooney Riggs has no conflicts to disclose.
Erica F. Andersen is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Athena M. Cherry is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Sibel Kantarci is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Hutton Kearney is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Ankita Patel has no conflicts to disclose.
Gordana Raca is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Deborah I. Ritter has no conflicts to disclose.
Sarah T. South is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Erik C. Thorland is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Daniel Pineda-Alvaraz is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Swaroop Aradhya is the director of a fee-for-service testing laboratory performing tests mentioned in this technical standard.
Christa Lese Martin has no conflicts to disclose.
Comment in
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Correspondence on "Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)" by Riggs et al.Genet Med. 2023 Aug;25(8):100868. doi: 10.1016/j.gim.2023.100868. Epub 2023 Jun 1. Genet Med. 2023. PMID: 37261439 No abstract available.
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