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  1. AU="Lee, Jacky Kwan Ho"
  2. AU="Margaret Greenwood-Ericksen"
  3. AU=Chang Yuan
  4. AU="Cervantes, Paige E"
  5. AU="Tankova, T"
  6. AU="Callegari, Rachel A"
  7. AU=Wang Yan AU=Wang Yan
  8. AU=Hassan Md Imtaiyaz
  9. AU="Galgani, Alessandro"
  10. AU="Yoshimura, Katsuhiro"
  11. AU=Periyasamy Petrick AU=Periyasamy Petrick
  12. AU="Lockey, David"
  13. AU="Gibson, G G"
  14. AU="K. Danzmann"

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Artikel ; Online: Harnessing Next-Generation Sequencing as a Timely and Accurate Second-Tier Screening Test for Newborn Screening of Inborn Errors of Metabolism.

Chan, Toby Chun Hei / Mak, Chloe Miu / Yeung, Matthew Chun Wing / Law, Eric Chun-Yiu / Cheung, Jana / Wong, Tsz Ki / Cheng, Vincent Wing-Sang / Lee, Jacky Kwan Ho / Wong, Jimmy Chi Lap / Fung, Cheuk Wing / Belaramani, Kiran Moti / Kwok, Anne Mei Kwun / Tsang, Kwok Yeung

International journal of neonatal screening

2024  Band 10, Heft 1

Abstract: In this study, we evaluated the implementation of a second-tier genetic screening test using an amplicon-based next-generation sequencing (NGS) panel in our laboratory during the period of 1 September 2021 to 31 August 2022 for the newborn screening (NBS) ...

Abstract In this study, we evaluated the implementation of a second-tier genetic screening test using an amplicon-based next-generation sequencing (NGS) panel in our laboratory during the period of 1 September 2021 to 31 August 2022 for the newborn screening (NBS) of six conditions for inborn errors of metabolism: citrullinemia type II (MIM #605814), systemic primary carnitine deficiency (MIM #212140), glutaric acidemia type I (MIM #231670), beta-ketothiolase deficiency (#203750), holocarboxylase synthetase deficiency (MIM #253270) and 3-hydroxy-3-methylglutaryl-CoA lyase deficiency (MIM # 246450). The custom-designed NGS panel can detect sequence variants in the relevant genes and also specifically screen for the presence of the hotspot variant IVS16ins3kb of
Sprache Englisch
Erscheinungsdatum 2024-03-05
Erscheinungsland Switzerland
Dokumenttyp Journal Article
ISSN 2409-515X
ISSN (online) 2409-515X
DOI 10.3390/ijns10010019
Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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