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)

2019 Genetics in Medicine 1,582 citations

Abstract

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. 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. 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. These professional standards will guide the evaluation of constitutional CNVs and encourage consistency and transparency across clinical laboratories.

Keywords

Medical geneticsCopy-number variationGenomicsConsistency (knowledge bases)PopulationMedicineGenomeData scienceGeneticsBiologyComputer scienceArtificial intelligence

MeSH Terms

AbnormalitiesMultipleConsensusDNA Copy Number VariationsGenetic TestingGenetic VariationGenomeHumanGenomicsHigh-Throughput Nucleotide SequencingHumansMutationUnited States

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Publication Info

Year
2019
Type
article
Volume
22
Issue
2
Pages
245-257
Citations
1582
Access
Closed

Citation Metrics

1582
OpenAlex
73
Influential
1245
CrossRef

Cite This

Erin Rooney Riggs, Erica Andersen, Athena M. Cherry et al. (2019). 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). Genetics in Medicine , 22 (2) , 245-257. https://doi.org/10.1038/s41436-019-0686-8

Identifiers

DOI
10.1038/s41436-019-0686-8
PMID
31690835
PMCID
PMC7313390

Data Quality

Data completeness: 86%