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Development of a new expanded next-generation sequencing panel for genetic diseases involved in dyslipidemia.

Authors :
Marmontel O
Rollat-Farnier PA
Wozny AS
Charrière S
Vanhoye X
Simonet T
Chatron N
Collin-Chavagnac D
Nony S
Dumont S
Mahl M
Jacobs C
Janin A
Caussy C
Poinsot P
Tauveron I
Bardel C
Millat G
Peretti N
Moulin P
Marçais C
Di Filippo M
Source :
Clinical genetics [Clin Genet] 2020 Dec; Vol. 98 (6), pp. 589-594. Date of Electronic Publication: 2020 Sep 04.
Publication Year :
2020

Abstract

The aim of this study was to provide an efficient tool: reliable, able to increase the molecular diagnosis performance, to facilitate the detection of copy number variants (CNV), to assess genetic risk scores (wGRS) and to offer the opportunity to explore candidate genes. Custom SeqCap EZ libraries, NextSeq500 sequencing and a homemade pipeline enable the analysis of 311 dyslipidemia-related genes. In the training group (48 DNA from patients with a well-established molecular diagnosis), this next-generation sequencing (NGS) workflow showed an analytical sensitivity >99% (n = 532 variants) without any false negative including a partial deletion of one exon. In the prospective group, from 25 DNA from patients without prior molecular analyses, 18 rare variants were identified in the first intention panel genes, allowing the diagnosis of monogenic dyslipidemia in 11 patients. In six other patients, the analysis of minor genes and wGRS determination provided a hypothesis to explain the dyslipidemia. Remaining data from the whole NGS workflow identified four patients with potentially deleterious variants. This NGS process gives a major opportunity to accede to an enhanced understanding of the genetic of dyslipidemia by simultaneous assessment of multiple genetic determinants.<br /> (© 2020 John Wiley & Sons A/S . Published by John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1399-0004
Volume :
98
Issue :
6
Database :
MEDLINE
Journal :
Clinical genetics
Publication Type :
Academic Journal
Accession number :
33111339
Full Text :
https://doi.org/10.1111/cge.13832