AI Article Synopsis

  • Low-pass whole genome sequencing (LP-WGS) offers a cheaper method for detecting copy number variants (CNVs) compared to chromosomal microarray analysis (CMA), providing similar resolution for CNV detection.
  • In a study with 1,363 patients experiencing neurodevelopmental challenges, LP-WGS yielded a positive result in 22% of cases, with 16% being diagnostic for pathogenic CNVs, comparable to CMA's diagnostic rates.
  • The study highlights LP-WGS as a practical solution for countries like Brazil where CMA costs are high, making it easier to implement in clinical settings with the help of commercial software.

Article Abstract

Low-pass whole genome sequencing (LP-WGS) has been applied as alternative method to detect copy number variants (CNVs) in the clinical setting. Compared with chromosomal microarray analysis (CMA), the sequencing-based approach provides a similar resolution of CNV detection at a lower cost. In this study, we assessed the efficiency and reliability of LP-WGS as a more affordable alternative to CMA. A total of 1363 patients with unexplained neurodevelopmental delay/intellectual disability, autism spectrum disorders, and/or multiple congenital anomalies were enrolled. Those patients were referred from 15 nonprofit organizations and university centers located in different states in Brazil. The analysis of LP-WGS at 1x coverage (>50kb) revealed a positive testing result in 22% of the cases (304/1363), in which 219 and 85 correspond to pathogenic/likely pathogenic (P/LP) CNVs and variants of uncertain significance (VUS), respectively. The 16% (219/1363) diagnostic yield observed in our cohort is comparable to the 15%-20% reported for CMA in the literature. The use of commercial software, as demonstrated in this study, simplifies the implementation of the test in clinical settings. Particularly for countries like Brazil, where the cost of CMA presents a substantial barrier to most of the population, LP-WGS emerges as a cost-effective alternative for investigating copy number changes in cytogenetics.

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Source
http://dx.doi.org/10.1002/ajmg.a.63802DOI Listing

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