4.4 Article

Newly designed 11-gene panel reveals first case of hereditary amyloidosis captured by massive parallel sequencing

Journal

JOURNAL OF CLINICAL PATHOLOGY
Volume 71, Issue 8, Pages 687-694

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/jclinpath-2017-204978

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Funding

  1. Ministry of Health [15-29667A, 01211/2016/RRC]
  2. Ministry of School and Education (LO1304) and Specific university research of the Faculty of Medicine (University of Ostrava) [SGS 02/LF/2014-2015, SGS 09/LF/2016-2017]
  3. Amgen
  4. [IRP03_2018_2020]

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Aims Amyloidosis is caused by deposition of abnormal protein fibrils, leading to damage of organ function. Hereditary amyloidosis represents a monogenic disease caused by germline mutations in 11 amyloidogenic precursor protein genes. One of the important but non-specific symptoms of amyloidosis is hypertrophic cardiomyopathy. Diagnostics of hereditary amyloidosis is complicated and the real cause can remain overlooked. We aimed to design hereditary amyloidosis gene panel and to introduce new next-generation sequencing (NGS) approach to investigate hereditary amyloidosis in a cohort of patients with hypertrophic cardiomyopathy of unknown significance. Methods Design of target enrichment DNA library preparation using Haloplex Custom Kit containing 11 amyloidogenic genes was followed by MiSeq Illumina sequencing and bioinformatics identification of germline variants using tool VarScan in a cohort of 40 patients. Results We present design of NGS panel for 11 genes (TTR, FGA, APOA1, APOA2, LYZ, GSN, CST3, PRNP, APP, 82M, ITM28) connected to various forms of amyloidosis. We detected one mutation, which is responsible for hereditary amyloidosis. Some other single nucleotide variants are so far undescribed or rare variants or represent common polymorphisms in European population. Conclusions We report one positive case of hereditary amyloidosis in a cohort of patients with hypertrophic cardiomyopathy of unknown significance and set up first panel for NGS in hereditary amyloidosis. This work may facilitate successful implementation of the NGS method by other researchers or clinicians and may improve the diagnostic process after validation

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