AI Article Synopsis

  • Whole-genome sequencing (WGS) shows promise as a more efficient diagnostic tool in pediatric medicine compared to conventional genetic testing methods, which are often lengthy and costly.
  • In a study involving 103 patients with suspected genetic disorders, WGS identified diagnostic variants in 41% of cases, significantly higher than the 24% from traditional tests.
  • WGS not only captured all diagnoses made by conventional methods but also revealed 18 new diagnoses, including variants that traditional testing methods couldn't detect.

Article Abstract

PurposeGenetic testing is an integral diagnostic component of pediatric medicine. Standard of care is often a time-consuming stepwise approach involving chromosomal microarray analysis and targeted gene sequencing panels, which can be costly and inconclusive. Whole-genome sequencing (WGS) provides a comprehensive testing platform that has the potential to streamline genetic assessments, but there are limited comparative data to guide its clinical use.MethodsWe prospectively recruited 103 patients from pediatric non-genetic subspecialty clinics, each with a clinical phenotype suggestive of an underlying genetic disorder, and compared the diagnostic yield and coverage of WGS with those of conventional genetic testing.ResultsWGS identified diagnostic variants in 41% of individuals, representing a significant increase over conventional testing results (24%; P = 0.01). Genes clinically sequenced in the cohort (n = 1,226) were well covered by WGS, with a median exonic coverage of 40 × ±8 × (mean ±SD). All the molecular diagnoses made by conventional methods were captured by WGS. The 18 new diagnoses made with WGS included structural and non-exonic sequence variants not detectable with whole-exome sequencing, and confirmed recent disease associations with the genes PIGG, RNU4ATAC, TRIO, and UNC13A.ConclusionWGS as a primary clinical test provided a higher diagnostic yield than conventional genetic testing in a clinically heterogeneous cohort.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895460PMC
http://dx.doi.org/10.1038/gim.2017.119DOI Listing

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