Copy number alterations involving 59 ACMG-recommended secondary findings genes.
Svetlana A YatsenkoMahmoud AarabiJie HuUrvashi SurtiDamara OrtizSuneeta Madan-KhetarpalDevereux N SallerDaniel BellissimoAleksandar RajkovicPublished in: Clinical genetics (2020)
In clinical exome/genome sequencing, the American College of Medical Genetics and Genomics (ACMG) recommends reporting of secondary findings unrelated to a patient's phenotype when pathogenic single-nucleotide variants (SNVs) are observed in one of 59 genes associated with a life-threatening, medically actionable condition. Little is known about the incidence and sensitivity of chromosomal microarray analysis (CMA) for detection of pathogenic copy number variants (CNVs) comprising medically-actionable genes. Clinical CMA has been performed on 8865 individuals referred for molecular cytogenetic testing. We retrospectively reviewed the CMA results to identify patients with CNVs comprising genes included in the 59-ACMG list of secondary findings. We evaluated the clinical significance of these CNVs in respect to pathogenicity, phenotypic manifestations, and heritability. We identified 23 patients (0.26%) with relevant CNV either deletions comprising the entire gene or intragenic alterations involving one or more secondary findings genes. A number of patients and/or their family members with pathogenic CNVs manifest or expected to develop an anticipated clinical phenotype and would benefit from preventive management similar to the patients with pathogenic SNVs. To improve patients' care standardization should apply to reporting of both sequencing and CNVs obtained via clinical genome-wide analysis, including chromosomal microarray and exome/genome sequencing.
Keyphrases
- copy number
- genome wide
- mitochondrial dna
- dna methylation
- end stage renal disease
- genome wide analysis
- single cell
- chronic kidney disease
- ejection fraction
- newly diagnosed
- healthcare
- prognostic factors
- peritoneal dialysis
- genome wide identification
- gene expression
- case report
- patient reported outcomes
- quality improvement
- emergency department
- pain management
- pseudomonas aeruginosa
- transcription factor
- electronic health record
- data analysis
- real time pcr