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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease.

Authors :
Dilliott AA
Farhan SMK
Ghani M
Sato C
Liang E
Zhang M
McIntyre AD
Cao H
Racacho L
Robinson JF
Strong MJ
Masellis M
Bulman DE
Rogaeva E
Lang A
Tartaglia C
Finger E
Zinman L
Turnbull J
Freedman M
Swartz R
Black SE
Hegele RA
Source :
Journal of visualized experiments : JoVE [J Vis Exp] 2018 Apr 04 (134). Date of Electronic Publication: 2018 Apr 04.
Publication Year :
2018

Abstract

Next-generation sequencing (NGS) is quickly revolutionizing how research into the genetic determinants of constitutional disease is performed. The technique is highly efficient with millions of sequencing reads being produced in a short time span and at relatively low cost. Specifically, targeted NGS is able to focus investigations to genomic regions of particular interest based on the disease of study. Not only does this further reduce costs and increase the speed of the process, but it lessens the computational burden that often accompanies NGS. Although targeted NGS is restricted to certain regions of the genome, preventing identification of potential novel loci of interest, it can be an excellent technique when faced with a phenotypically and genetically heterogeneous disease, for which there are previously known genetic associations. Because of the complex nature of the sequencing technique, it is important to closely adhere to protocols and methodologies in order to achieve sequencing reads of high coverage and quality. Further, once sequencing reads are obtained, a sophisticated bioinformatics workflow is utilized to accurately map reads to a reference genome, to call variants, and to ensure the variants pass quality metrics. Variants must also be annotated and curated based on their clinical significance, which can be standardized by applying the American College of Medical Genetics and Genomics Pathogenicity Guidelines. The methods presented herein will display the steps involved in generating and analyzing NGS data from a targeted sequencing panel, using the ONDRISeq neurodegenerative disease panel as a model, to identify variants that may be of clinical significance.

Details

Language :
English
ISSN :
1940-087X
Issue :
134
Database :
MEDLINE
Journal :
Journal of visualized experiments : JoVE
Publication Type :
Academic Journal
Accession number :
29683450
Full Text :
https://doi.org/10.3791/57266