College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.
School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China.
Genes (Basel). 2023 Jun 23;14(7):1322. doi: 10.3390/genes14071322.
Alzheimer's disease (AD) is the main cause of dementia worldwide, and the genetic mechanism of which is not yet fully understood. Much evidence has accumulated over the past decade to suggest that after the first large-scale genome-wide association studies (GWAS) were conducted, the problem of "missing heritability" in AD is still a great challenge. Epistasis has been considered as one of the main causes of "missing heritability" in AD, which has been largely ignored in human genetics. The focus of current genome-wide epistasis studies is usually on single nucleotide polymorphisms (SNPs) that have significant individual effects, and the amount of heritability explained by which was very low. Moreover, AD is characterized by progressive cognitive decline and neuronal damage, and some studies have suggested that hyperphosphorylated tau (P-tau) mediates neuronal death by inducing necroptosis and inflammation in AD. Therefore, this study focused on identifying epistasis between two-marker interactions at marginal main effects across the whole genome using cerebrospinal fluid (CSF) P-tau as quantitative trait (QT). We sought to detect interactions between SNPs in a multi-GPU based linear regression method by using age, gender, and clinical diagnostic status (cds) as covariates. We then used the STRING online tool to perform the PPI network and identify two-marker epistasis at the level of gene-gene interaction. A total of 758 SNP pairs were found to be statistically significant. Particularly, between the marginal main effect SNP pairs, highly significant SNP-SNP interactions were identified, which explained a relatively high variance at the P-tau level. In addition, 331 AD-related genes were identified, 10 gene-gene interaction pairs were replicated in the PPI network. The identified gene-gene interactions and genes showed associations with AD in terms of neuroinflammation and neurodegeneration, neuronal cells activation and brain development, thereby leading to cognitive decline in AD, which is indirectly associated with the P-tau pathological feature of AD and in turn supports the results of this study. Thus, the results of our study might be beneficial for explaining part of the "missing heritability" of AD.
阿尔茨海默病(AD)是全球范围内痴呆症的主要病因,但遗传机制尚未完全阐明。过去十年的大量证据表明,在进行了首次大规模全基因组关联研究(GWAS)之后,AD 中的“遗传缺失”问题仍然是一个巨大的挑战。上位性已被认为是 AD 中“遗传缺失”的主要原因之一,但在人类遗传学中却被大大忽略。目前全基因组上位性研究的重点通常是具有显著个体效应的单核苷酸多态性(SNP),而这些 SNP 解释的遗传率非常低。此外,AD 的特征是认知能力逐渐下降和神经元损伤,一些研究表明,过度磷酸化的 tau(P-tau)通过在 AD 中诱导坏死性凋亡和炎症来介导神经元死亡。因此,本研究侧重于使用脑脊液(CSF)P-tau 作为定量性状(QT),鉴定全基因组范围内边际主效应的双标记相互作用中的上位性。我们试图通过使用年龄、性别和临床诊断状态(cds)作为协变量,在基于多 GPU 的线性回归方法中检测 SNP 之间的相互作用。然后,我们使用 STRING 在线工具执行 PPI 网络,并在基因-基因相互作用水平上识别双标记上位性。共发现 758 对 SNP 具有统计学意义。特别是在边际主效 SNP 对之间,鉴定出高度显著的 SNP-SNP 相互作用,在 P-tau 水平上解释了相对较高的方差。此外,鉴定出 331 个与 AD 相关的基因,在 PPI 网络中复制了 10 对基因-基因相互作用对。鉴定出的基因-基因相互作用和基因与 AD 中的神经炎症和神经退行性变、神经元细胞激活和大脑发育有关,从而导致 AD 中的认知能力下降,这与 AD 的 P-tau 病理特征间接相关,并反过来支持了本研究的结果。因此,本研究的结果可能有助于解释 AD 部分“遗传缺失”的原因。