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Analysis of genetic variants in myeloproliferative neoplasms using a 22-gene next-generation sequencing panel.
Tan, Jaymi; Chow, Yock Ping; Zainul Abidin, Norziha; Chang, Kian Meng; Selvaratnam, Veena; Tumian, Nor Rafeah; Poh, Yang Ming; Veerakumarasivam, Abhi; Laffan, Michael Arthur; Wong, Chieh Lee.
Afiliação
  • Tan J; Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia.
  • Chow YP; Clinical Research Centre, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
  • Zainul Abidin N; Molecular Diagnostics Laboratory, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
  • Chang KM; Haematology Unit, Department of Medicine, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
  • Selvaratnam V; Haematology Department, Ampang Hospital, Kuala Lumpur, Malaysia.
  • Tumian NR; Haematology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
  • Poh YM; School of Data Sciences, Perdana University, Serdang, Selangor, Malaysia.
  • Veerakumarasivam A; Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia.
  • Laffan MA; Centre for Haematology, Hammersmith Hospital, London, UK.
  • Wong CL; Faculty of Medicine, Imperial College London, London, UK.
BMC Med Genomics ; 15(1): 10, 2022 01 15.
Article em En | MEDLINE | ID: mdl-35033063
ABSTRACT

BACKGROUND:

The Philadelphia (Ph)-negative myeloproliferative neoplasms (MPNs), namely essential thrombocythaemia (ET), polycythaemia vera (PV) and primary myelofibrosis (PMF), are a group of chronic clonal haematopoietic disorders that have the propensity to advance into bone marrow failure or acute myeloid leukaemia; often resulting in fatality. Although driver mutations have been identified in these MPNs, subtype-specific markers of the disease have yet to be discovered. Next-generation sequencing (NGS) technology can potentially improve the clinical management of MPNs by allowing for the simultaneous screening of many disease-associated genes.

METHODS:

The performance of a custom, in-house designed 22-gene NGS panel was technically validated using reference standards across two independent replicate runs. The panel was subsequently used to screen a total of 10 clinical MPN samples (ET n = 3, PV n = 3, PMF n = 4). The resulting NGS data was then analysed via a bioinformatics pipeline.

RESULTS:

The custom NGS panel had a detection limit of 1% variant allele frequency (VAF). A total of 20 unique variants with VAFs above 5% (4 of which were putatively novel variants with potential biological significance) and one pathogenic variant with a VAF of between 1 and 5% were identified across all of the clinical MPN samples. All single nucleotide variants with VAFs ≥ 15% were confirmed via Sanger sequencing.

CONCLUSIONS:

The high fidelity of the NGS analysis and the identification of known and novel variants in this study cohort support its potential clinical utility in the management of MPNs. However, further optimisation is needed to avoid false negatives in regions with low sequencing coverage, especially for the detection of driver mutations in MPL.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Policitemia Vera / Transtornos Mieloproliferativos Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Med Genomics Assunto da revista: GENETICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Malásia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Policitemia Vera / Transtornos Mieloproliferativos Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Med Genomics Assunto da revista: GENETICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Malásia