Article ; Online: Applications of advanced technologies for detecting genomic structural variation.
Mutation research. Reviews in mutation research
2023 Volume 792, Page(s) 108475
Abstract: Chromosomal structural variation (SV) encompasses a heterogenous class of genetic variants that exerts strong influences on human health and disease. Despite their importance, many structural variants (SVs) have remained poorly characterized at even a ... ...
Abstract | Chromosomal structural variation (SV) encompasses a heterogenous class of genetic variants that exerts strong influences on human health and disease. Despite their importance, many structural variants (SVs) have remained poorly characterized at even a basic level, a discrepancy predicated upon the technical limitations of prior genomic assays. However, recent advances in genomic technology can identify and localize SVs accurately, opening new questions regarding SV risk factors and their impacts in humans. Here, we first define and classify human SVs and their generative mechanisms, highlighting characteristics leveraged by various SV assays. We next examine the first-ever gapless assembly of the human genome and the technical process of assembling it, which required third-generation sequencing technologies to resolve structurally complex loci. The new portions of that "telomere-to-telomere" and subsequent pangenome assemblies highlight aspects of SV biology likely to develop in the near-term. We consider the strengths and limitations of the most promising new SV technologies and when they or longstanding approaches are best suited to meeting salient goals in the study of human SV in population-scale genomics research, clinical, and public health contexts. It is a watershed time in our understanding of human SV when new approaches are expected to fundamentally change genomic applications. |
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MeSH term(s) | Humans ; Genomics ; Genomic Structural Variation ; Chromosome Aberrations ; Genome, Human ; Sequence Analysis, DNA |
Language | English |
Publishing date | 2023-11-04 |
Publishing country | Netherlands |
Document type | Journal Article ; Review |
ZDB-ID | 2727833-5 |
ISSN | 1388-2139 ; 1383-5742 |
ISSN (online) | 1388-2139 |
ISSN | 1383-5742 |
DOI | 10.1016/j.mrrev.2023.108475 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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