Wang Hui, Wang Li-San, Schellenberg Gerard, Lee Wan-Ping
Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Front Aging Neurosci. 2023 Feb 8;14:1073905. doi: 10.3389/fnagi.2022.1073905. eCollection 2022.
Dozens of single nucleotide polymorphisms (SNPs) related to Alzheimer's disease (AD) have been discovered by large scale genome-wide association studies (GWASs). However, only a small portion of the genetic component of AD can be explained by SNPs observed from GWAS. Structural variation (SV) can be a major contributor to the missing heritability of AD; while SV in AD remains largely unexplored as the accurate detection of SVs from the widely used array-based and short-read technology are still far from perfect. Here, we briefly summarized the strengths and weaknesses of available SV detection methods. We reviewed the current landscape of SV analysis in AD and SVs that have been found associated with AD. Particularly, the importance of currently less explored SVs, including insertions, inversions, short tandem repeats, and transposable elements in neurodegenerative diseases were highlighted.
通过大规模全基因组关联研究(GWAS)已经发现了数十种与阿尔茨海默病(AD)相关的单核苷酸多态性(SNP)。然而,GWAS中观察到的SNP只能解释AD遗传成分的一小部分。结构变异(SV)可能是AD遗传力缺失的主要原因;而由于从广泛使用的基于阵列和短读长技术中准确检测SV仍然远非完美,AD中的SV在很大程度上仍未得到探索。在这里,我们简要总结了现有SV检测方法的优缺点。我们回顾了AD中SV分析的现状以及已发现与AD相关的SV。特别是,强调了目前较少探索的SV的重要性,包括插入、倒位、短串联重复序列和神经退行性疾病中的转座元件。