PLoS ONE (Jan 2014)

The clinical impact of chromosomal microarray on paediatric care in Hong Kong.

  • Victoria Q Tao,
  • Kelvin Y K Chan,
  • Yoyo W Y Chu,
  • Gary T K Mok,
  • Tiong Y Tan,
  • Wanling Yang,
  • So Lun Lee,
  • Wing Fai Tang,
  • Winnie W Y Tso,
  • Elizabeth T Lau,
  • Anita S Y Kan,
  • Mary H Tang,
  • Yu-Lung Lau,
  • Brian H Y Chung

DOI
https://doi.org/10.1371/journal.pone.0109629
Journal volume & issue
Vol. 9, no. 10
p. e109629

Abstract

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ObjectiveTo evaluate the clinical impact of chromosomal microarray (CMA) on the management of paediatric patients in Hong Kong.MethodsWe performed NimbleGen 135k oligonucleotide array on 327 children with intellectual disability (ID)/developmental delay (DD), autism spectrum disorders (ASD), and/or multiple congenital anomalies (MCAs) in a university-affiliated paediatric unit from January 2011 to May 2013. The medical records of patients were reviewed in September 2013, focusing on the pathogenic/likely pathogenic CMA findings and their "clinical actionability" based on established criteria.ResultsThirty-seven patients were reported to have pathogenic/likely pathogenic results, while 40 had findings of unknown significance. This gives a detection rate of 11% for clinically significant (pathogenic/likely pathogenic) findings. The significant findings have prompted clinical actions in 28 out of 37 patients (75.7%), while the findings with unknown significance have led to further management recommendation in only 1 patient (p ConclusionThe application of CMA in children with ID/DD, ASD, and/or MCAs in Hong Kong results in a diagnostic yield of ∼ 11% for pathogenic/likely pathogenic results. Importantly the yield for clinically actionable results is 8.6%. We advocate using diagnostic yield of clinically actionable results to evaluate CMA as it provides information of both clinical validity and clinical utility. Furthermore, it incorporates evidence-based medicine into the practice of genomic medicine. The same framework can be applied to other genomic testing strategies enabled by next-generation sequencing.