| Autor: |
Julia C. van Campen, Elizabeth S. A. Sollars, Rebecca C. Thomas, Clare M. Bartlett, Antonio Milano, Matthew D. Parker, Jennifer Dawe, Peter R. Winship, Gerrard Peck, Darren Grafham, Richard J. Kirk, James R. Bonham, Anne C. Goodeve, Ann Dalton |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
International Journal of Neonatal Screening, Vol 5, Iss 4, p 40 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2409-515X |
| DOI: |
10.3390/ijns5040040 |
| Popis: |
Next generation DNA sequencing (NGS) has the potential to improve the diagnostic and prognostic utility of newborn screening programmes. This study assesses the feasibility of automating NGS on dried blood spot (DBS) DNA in a United Kingdom National Health Service (UK NHS) laboratory. An NGS panel targeting the entire coding sequence of five genes relevant to disorders currently screened for in newborns in the UK was validated on DBS DNA. An automated process for DNA extraction, NGS and bioinformatics analysis was developed. The process was tested on DBS to determine feasibility, turnaround time and cost. The analytical sensitivity of the assay was 100% and analytical specificity was 99.96%, with a mean 99.5% concordance of variant calls between DBS and venous blood samples in regions with ≥30× coverage (96.8% across all regions; all variant calls were single nucleotide variants (SNVs), with indel performance not assessed). The pipeline enabled processing of up to 1000 samples a week with a turnaround time of four days from receipt of sample to reporting. This study concluded that it is feasible to automate targeted NGS on routine DBS samples in a UK NHS laboratory setting, but it may not currently be cost effective as a first line test. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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