Evidence map›Paper›PMID 35033063›Full record

ArticleBMC medical genomics2022

Analysis of genetic variants in myeloproliferative neoplasms using a 22-gene next-generation sequencing panel.

Jaymi Tan, Yock Ping Chow, Norziha Zainul Abidin, Kian Meng Chang, Veena Selvaratnam, Nor Rafeah Tumian, Yang Ming Poh, Abhi Veerakumarasivam, Michael Arthur Laffan, Chieh Lee Wong

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. The molecular management of classic myeloproliferative neoplasm.Journal of the Egyptian National Cancer Institute · 2025
    Review
  2. Article
  3. The Contribution ofInternational journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Jaymi TanDepartment of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia.
Yock Ping ChowClinical Research Centre, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Norziha Zainul AbidinMolecular Diagnostics Laboratory, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Kian Meng ChangHaematology Unit, Department of Medicine, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Veena SelvaratnamHaematology Department, Ampang Hospital, Kuala Lumpur, Malaysia.
Nor Rafeah TumianHaematology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
Yang Ming PohSchool of Data Sciences, Perdana University, Serdang, Selangor, Malaysia.
Abhi VeerakumarasivamDepartment of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia.
Michael Arthur LaffanCentre for Haematology, Hammersmith Hospital, London, UK.
Chieh Lee WongDepartment of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia. wongchiehlee@hotmail.com.
Sunway University · MYHammersmith Hospital · GBHospital Kuala Lumpur · MYPerdana University · MYUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Myeloproliferative DisordersPolycythemia VeraHigh-Throughput Nucleotide SequencingHumansJanus Kinase 2MutationJanus Kinase 2Bioinformatics, disease managementGeneMutationMyeloproliferative neoplasmNext-generation sequencingVariant

Identifiers

PMID35033063
PMCPMC8760696
OpenAlexW4225256092

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.