Literature DB >> 32909274

Is gene panel sequencing more efficient than clinical-based gene sequencing to diagnose autoinflammatory diseases? A randomized study.

M Rama1, T Mura2, I Kone-Paut3, G Boursier1, S Aouinti3, I Touitou1,4, G Sarrabay1,4.   

Abstract

The aim of this study was to compare the effectiveness of the gene-panel next-generation sequencing (NGS) strategy versus the clinical-based gene Sanger sequencing for the genetic diagnosis of autoinflammatory diseases (AIDs). Secondary goals were to describe the gene and mutation distribution in AID patients and to evaluate the impact of the genetic report on the patient's medical care and treatment. Patients with AID symptoms were enrolled prospectively and randomized to two arms, NGS (n = 99) (32-55 genes) and Sanger sequencing (n = 197) (one to four genes). Genotypes were classified as 'consistent/confirmatory', 'uncertain significance' or 'non-contributory'. The proportion of patients with pathogenic genotypes concordant with the AID phenotype (consistent/confirmatory) was significantly higher with NGS than Sanger sequencing [10 of 99 (10·1%) versus eight of 197 (4·1%)]. MEFV, ADA2 and MVK were the most represented genes with a consistent/confirmed genotype, whereas MEFV, NLRP3, NOD2 and TNFRSF1A were found in the 'uncertain significance' genotypes. Six months after the genetic report was sent, 54 of 128 (42·2%) patients had received effective treatment for their symptoms; 13 of 128 (10·2%) had started treatment after the genetic study. For 59 of 128 (46%) patients, the results had an impact on their overall care, independent of sequencing group and diagnostic conclusion. Targeted NGS improved the diagnosis and global care of patients with AIDs.
© 2020 British Society for Immunology.

Entities:  

Keywords:  Sanger sequencing; genetic testing; hereditary autoinflammatory diseases; targeted next-generation sequencing

Mesh:

Year:  2020        PMID: 32909274      PMCID: PMC7744495          DOI: 10.1111/cei.13511

Source DB:  PubMed          Journal:  Clin Exp Immunol        ISSN: 0009-9104            Impact factor:   4.330


  14 in total

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4.  New workflow for classification of genetic variants' pathogenicity applied to hereditary recurrent fevers by the International Study Group for Systemic Autoinflammatory Diseases (INSAID).

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Journal:  Rheumatol Int       Date:  2019-02-19       Impact factor: 2.631

9.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

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Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

10.  Clinical impact of a targeted next-generation sequencing gene panel for autoinflammation and vasculitis.

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Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

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