Literature DB >> 27753142

Clinical evaluation of a hemochromatosis next-generation sequencing gene panel.

Matthew B Lanktree1, Bekim Sadikovic2, John S Waye3, Alexander Levstik2, Bruce B Lanktree1, Jovana Yudin1, Mark A Crowther1,3, Guillaume Pare1,3, Paul C Adams4.   

Abstract

BACKGROUND: Next-generation sequencing of an iron metabolism gene panel could identify pathogenic mutations, improving on standard hemochromatosis genetic testing and providing a molecular diagnosis in patients with suspected iron overload.
METHODS: A next-generation sequencing panel of 15 genes with known roles in iron metabolism was constructed. A total of 190 patients were sequenced: 94 from a tertiary hemochromatosis clinic and 96 submitted for HFE testing with biochemical evidence of iron overload [elevated ferritin (>450 μg/L) or transferrin saturation (>55%)] obtained from a chart review.
RESULTS: From the hemochromatosis clinic cohort, six patients were diagnosed with non-HFE hemochromatosis due to homozygous hemojuvelin (HFE2) mutations. Ten additional heterozygous pathogenic mutations were observed. From the chart review cohort, a C-terminus ferritin light chain (FTL) frameshift mutation was observed consistent with neuroferritinopathy. Heterozygous deletion of HFE2 and four additional rare pathogenic or likely pathogenic heterozygous mutations were identified in seven patients.
CONCLUSIONS: An iron metabolism gene panel provided a molecular diagnosis in six patients with non-HFE iron overload and is suitable for diagnostic purposes in exceptional cases in specialized clinics. Further research will be required to assess the modifier effect of rare heterozygous mutations in iron metabolism genes.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  hemochromatosis; iron overload; neuroferritinopathy; next-generation sequencing

Mesh:

Substances:

Year:  2016        PMID: 27753142     DOI: 10.1111/ejh.12820

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   2.997


  6 in total

1.  Porphyria cutanea tarda associated with elevated serum ferritin, iron overload, and a bone morphogenetic protein 6 genetic variant.

Authors:  Paul C Adams; Carolyn Horgan-Bell; Scott Walsh; Bekim Sadikovic
Journal:  Can Liver J       Date:  2020-06-04

Review 2.  Genotypic and phenotypic spectra of hemojuvelin mutations in primary hemochromatosis patients: a systematic review.

Authors:  Xiaomu Kong; Lingding Xie; Haiqing Zhu; Lulu Song; Xiaoyan Xing; Wenying Yang; Xiaoping Chen
Journal:  Orphanet J Rare Dis       Date:  2019-07-08       Impact factor: 4.123

3.  Genetic analysis of 39 erythrocytosis and hereditary hemochromatosis-associated genes in the Slovenian family with idiopathic erythrocytosis.

Authors:  Aleša Kristan; Jernej Gašperšič; Tadeja Režen; Tanja Kunej; Rok Količ; Andrej Vuga; Martina Fink; Špela Žula; Saša Anžej Doma; Irena Preložnik Zupan; Tadej Pajič; Helena Podgornik; Nataša Debeljak
Journal:  J Clin Lab Anal       Date:  2021-02-03       Impact factor: 2.352

4.  Identification of Novel Mutations by Targeted NGS Panel in Patients with Hyperferritinemia.

Authors:  Giulia Ravasi; Sara Pelucchi; Francesca Bertola; Martina Maria Capelletti; Raffaella Mariani; Alberto Piperno
Journal:  Genes (Basel)       Date:  2021-11-09       Impact factor: 4.096

5.  Identification of Variants Associated With Rare Hematological Disorder Erythrocytosis Using Targeted Next-Generation Sequencing Analysis.

Authors:  Aleša Kristan; Tadej Pajič; Aleš Maver; Tadeja Režen; Tanja Kunej; Rok Količ; Andrej Vuga; Martina Fink; Špela Žula; Helena Podgornik; Saša Anžej Doma; Irena Preložnik Zupan; Damjana Rozman; Nataša Debeljak
Journal:  Front Genet       Date:  2021-07-19       Impact factor: 4.599

Review 6.  Diagnosis and Management of Genetic Iron Overload Disorders.

Authors:  William C Palmer; Prakash Vishnu; William Sanchez; Bashar Aqel; Doug Riegert-Johnson; Leigh Ann Kenda Seaman; Andrew W Bowman; Candido E Rivera
Journal:  J Gen Intern Med       Date:  2018-09-17       Impact factor: 6.473

  6 in total

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