Pillay Nikita Simone, Ross Owen A, Christoffels Alan, Bardien Soraya
South African National Bioinformatics Institute (SANBI), South African Medical Research Council Bioinformatics Unit, University of the Western Cape, Bellville, South Africa.
Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States.
Front Genet. 2022 Mar 1;13:781816. doi: 10.3389/fgene.2022.781816. eCollection 2022.
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 mutations appeared to facilitate the finding of causal mutations. Across the studies, similarities and differences in downstream analysis methods and the types of bioinformatic tools used, were observed. Although these studies serve as a practical guide for novel gene discovery in familial PD, these approaches have not significantly resolved the "missing heritability" of PD. We speculate that what is needed is the use of third-generation sequencing technologies to identify complex genomic rearrangements and new sequence variation, missed with existing methods. Additionally, the study of ancestrally diverse populations (in particular those of Black African ancestry), with the concomitant optimization and tailoring of sequencing and analytic workflows to these populations, are critical. Only then, will this pave the way for exciting new discoveries in the field.
帕金森病是一种具有异质性遗传病因的神经退行性疾病。下一代测序(NGS)技术的出现有助于在包括帕金森病在内的几种复杂疾病中发现新基因。这篇观点文章旨在探讨使用NGS方法来识别家族性帕金森病中的新基因座,并考虑它们目前的相关性。共确定了17项研究,涉及不同人群(包括亚洲、中东和欧洲血统)。所有研究均使用全外显子组测序(WES),只有一项研究同时纳入了WES和全基因组测序。值得注意的是,一些研究如何纳入了额外的遗传分析(包括连锁分析、单倍型分析和纯合性定位)以提高功效。此外,近亲家族的使用以及对突变的特定搜索似乎有助于发现致病突变。在各项研究中,观察到下游分析方法和所使用的生物信息学工具类型的异同。尽管这些研究为家族性帕金森病的新基因发现提供了实用指南,但这些方法尚未显著解决帕金森病的“遗传力缺失”问题。我们推测,需要使用第三代测序技术来识别现有方法遗漏的复杂基因组重排和新的序列变异。此外,对祖先多样化人群(特别是非洲黑人血统人群)的研究,以及随之而来的针对这些人群对测序和分析工作流程的优化和调整,至关重要。只有这样,才会为该领域令人兴奋的新发现铺平道路。