Current Status of Next-Generation Sequencing Approaches for Candidate Gene Discovery in Familial Parkinson´s Disease.

Parkinson’s disease african ancestry bioinformatic pipelines diverse populations familial PD next-generation sequencing third-generation sequencing whole-exome sequencing

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2022
Historique:
received: 23 09 2021
accepted: 12 01 2022
entrez: 18 3 2022
pubmed: 19 3 2022
medline: 19 3 2022
Statut: epublish

Résumé

Parkinson's disease is a neurodegenerative disorder with a heterogeneous genetic etiology. The advent of next-generation sequencing (NGS) technologies has aided novel gene discovery in several complex diseases, including PD. This Perspective article aimed to explore the use of NGS approaches to identify novel loci in familial PD, and to consider their current relevance. A total of 17 studies, spanning various populations (including Asian, Middle Eastern and European ancestry), were identified. All the studies used whole-exome sequencing (WES), with only one study incorporating both WES and whole-genome sequencing. It is worth noting how additional genetic analyses (including linkage analysis, haplotyping and homozygosity mapping) were incorporated to enhance the efficacy of some studies. Also, the use of consanguineous families and the specific search for

Identifiants

pubmed: 35299952
doi: 10.3389/fgene.2022.781816
pii: 781816
pmc: PMC8921601
doi:

Types de publication

Journal Article

Langues

eng

Pagination

781816

Informations de copyright

Copyright © 2022 Pillay, Ross, Christoffels and Bardien.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Nikita Simone Pillay (NS)

South African National Bioinformatics Institute (SANBI), South African Medical Research Council Bioinformatics Unit, University of the Western Cape, Bellville, South Africa.

Owen A Ross (OA)

Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States.
Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, United States.

Alan Christoffels (A)

South African National Bioinformatics Institute (SANBI), South African Medical Research Council Bioinformatics Unit, University of the Western Cape, Bellville, South Africa.
Africa Centres for Disease Control and Prevention, African Union Headquarters, Addis Ababa, Ethiopia.

Soraya Bardien (S)

Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Cape Town, South Africa.

Classifications MeSH