SNP analysis of genes related to cholesterol metabolism and associated with late-onset Alzheimer’s disease

Late onset Alzheimer’s disease (LOAD) is the most common type of dementia and is characterized by impaired cholesterol homeostasis. Genome-wide association studies (GWAS) have shown that APOE, TOMM40, CLU, SORL1, PICALM, and BIN1 are related to cholesterol metabolism. To characterize the association between single-nucleotide polymorphisms (SNPs) and LOAD, we sequenced the SNP regions of the identified genes in a total of 11 LOAD cases and 12 healthy case controls in the Korean population. The SNP data showed a relatively high frequency in LOAD samples compared to the control samples. LOAD samples showed an average of 2.9 SNPs, whereas normal controls showed an average of 1.5 SNPs in the genes. Taken together, six genes associated with cholesterol metabolism using SNP analysis have shown frequent genetic variations in LOAD.     

Genetic discoveries and advances in late-onset Alzheimer’s disease

Alzheimer’s disease (AD) is a heterogeneous disorder with multiple patterns of clinical manifestations. Recently, due to the advance of linkage studies, next-generation sequencing and genome-wide association studies, a large number of putative risk genes for AD have been identified using acquired genome mega data. The genetic association between three causal genes, including amyloid precursor protein, presenilin1, and presenilin2 in early-onset AD (EOAD), was discovered over the past few decades. These discoveries showed that there should be additional genetic risk factors for both EOAD and late-onset AD (LOAD) to help fully explain the leading molecular mechanisms in a single pathophysiological entity. This study reviews the clinical features and genetic etiology of LOAD and discusses a variety of AD-mediated genes that are involved in cholesterol and lipid metabolism, endocytosis, and immune response according to their mutations for more efficient selection of functional candidate genes for LOAD. New mechanisms and pathways have been identified as a result.     

SORL1 Is Associated with the Risk of Late-Onset Alzheimer’s Disease: a Replication Study and Meta-Analyses

The sorting-related receptor gene (SORL1) has been defined as an interesting candidate gene for Alzheimer’s disease (AD). Recently, one novel variant, rs11218343, within SORL1 was reported to be related to late-onset Alzheimer’s disease (LOAD) in Caucasians, Korean, and Japanese. The aim of this case–control study is to investigate whether SORL1 rs11218343 contributes to susceptibility for LOAD in Chinese. Furthermore, our data, along with previously studies, were pooled for determining the risk of the rs11218343 polymorphism on LOAD. The rs11218343 polymorphism was genotyped in the 2350 independent subjects from Northern Han Chinese population (including 992 cases and 1358 age- and gender-matched controls). Result of the case–control study showed the association between rs11218343 polymorphism and the risk of LOAD in a Northern Han Chinese population (recessive model: odds ratio (OR)?=?0.641, 95 % confidence interval (CI)?=?0.464–0.884, P?=?0.007; additive model: OR?=?0.873, 95 % CI?=?0.765–0.996, P?=?0.043). The results of meta-analysis in subgroups (Caucasian and Asian) and the whole showed that the minor allele (C allele) within rs11218343 played a protective effect on AD risk (OR (95 % CI), 0.77 (0.72–0.83), 0.85 (0.79–0.91), 0.81 (0.76–0.85), respectively). In conclusion, the C allele in SORL1 rs11218343 may be a protective factor for LOAD in both Caucasian and Han Chinese.     

KIAA1462, A Coronary Artery Disease Associated Gene,Is a Candidate Gene for Late Onset Alzheimer Disease in APOE Carriers

Alzheimer disease (AD) is a devastating neurodegenerative disease affecting more than five million Americans. In this study, we have used updated genetic linkage data from chromosome 10 in combination with expression data from serial analysis of gene expression to choose a new set of thirteen candidate genes for genetic analysis in late onset Alzheimer disease (LOAD). Results in this study identify the KIAA1462 locus as a candidate locus for LOAD in APOE4 carriers. Two genes exist at this locus, KIAA1462, a gene associated with coronary artery disease, and “rokimi”, encoding an untranslated spliced RNA The genetic architecture at this locus suggests that the gene product important in this association is either “rokimi”, or a different isoform of KIAA1462 than the isoform that is important in cardiovascular disease. Expression data suggests that isoform f of KIAA1462 is a more attractive candidate for association with LOAD in APOE4 carriers than “rokimi” which had no detectable expression in brain.     

老年痴呆的遗传机制研究进展

老年痴呆症,又称阿尔茨海默病(Alzheimer’s disease,AD),是威胁老年人健康的主要疾病之一。根据发病年龄,AD可分为早发性(early-onset Alzheimer’s disease,EOAD)和迟发性(late-onset Alzheimer’s disease,LOAD)两种,两者均受到遗传因素的影响。目前已知3个致病基因导致家族性EOAD的发病:淀粉样前体蛋白基因(β-amyloid precursor protein,APP)、早老素1基因(presenilin 1,PSEN1)和早老素2基因(presenilin 2,PSEN2)。而近年来在全基因组关联分析(genome-wide association study,GWAS)等新技术的支持下,研究者相继发现并报道了一系列影响LOAD易感性的风险基因多态性位点。试对上述AD相关致病基因和主要风险基因加以简要介绍,深入探索这些基因的功能有助于对AD病理生理机制的认知。     

Analysis of clusterin gene (CLU/APOJ) polymorphism in Alzheimer’s disease patients and in normal cohorts from Russian populations

Mutations in three genes PSEN1, PSEN2, and APP are known to be a cause of familial forms of Alzheimer’s disease (AD). APOE gene polymorphism is a strong risk genetic factor for AD. We have evaluated allele and genotype frequency distribution of rs11136000 polymorphism in the clusterin (CLU) gene (or apolipoprotein J, APOJ) in the samples from three Russian populations and in AD patients. Genome-wide association studies in samples from several European populations have recently revealed the highly significant association of CLU gene with AD (p = 8.5 × 10^?10). We found no differences in allele and genotype frequencies of rs11136000 between the populations from the Moscow, Ural, and Siberia regions. The allele frequencies are close to those in European populations. The genetic association analysis in cohort of AD patients and normal individuals (>500 individuals in each group) revealed no significant association of the rs11136000 polymorphism in CLU gene with Alzheimer’s disease in Russian populations. Although our results showed that the CLU gene polymorphism rs11136000 is likely not a major genetic factor for the common form of Alzheimer’s disease, the data do not rule out the possibility of a modest effect of CLU and interaction between CLU and APOE genotypes in etiology of Alzheimer’s disease.     

Sex- and APOE-specific genetic risk factors for late-onset Alzheimer's disease: Evidence from gene–gene interaction of longevity-related loci

Advanced age is the largest risk factor for late-onset Alzheimer's disease (LOAD), a disease in which susceptibility correlates to almost all hallmarks of aging. Shared genetic signatures between LOAD and longevity were frequently hypothesized, likely characterized by distinctive epistatic and pleiotropic interactions. Here, we applied a multidimensional reduction approach to detect gene–gene interactions affecting LOAD in a large dataset of genomic variants harbored by genes in the insulin/IGF1 signaling, DNA repair, and oxidative stress pathways, previously investigated in human longevity. The dataset was generated from a collection of publicly available Genome Wide Association Studies, comprising a total of 2,469 gene variants genotyped in 20,766 subjects of Northwestern European ancestry (11,038 LOAD cases and 9,728 controls). The stratified analysis according to APOE*4 status and sex corroborated evidence that pathways leading to longevity also contribute to LOAD. Among the significantly interacting genes, PTPN1, TXNRD1, and IGF1R were already found enriched in gene–gene interactions affecting survival to old age. Furthermore, interacting variants associated with LOAD in a sex- and APOE-specific way. Indeed, while in APOE*4 female carriers we found several inter-pathway interactions, no significant epistasis was found in APOE*4 negative females; conversely, in males, significant intra- and inter-pathways epistasis emerged according to APOE*4 status. These findings suggest that interactions of risk factors may drive different trajectories of cognitive aging. Beyond helping to disentangle the genetic architecture of LOAD, such knowledge may improve precision in predicting the risk of dementia and enable effective sex- and APOE-stratified preventive and therapeutic interventions for LOAD.     

Age-dependent association of KIBRA gene polymorphism with Alzheimer’s disease in Han Chinese

Genetic factors play an important role in the Alzheimer’s disease (AD) development and memory impairment is a cardinal clinical feature of AD. Kidney and brain expressed protein (KIBRA), owing to its connection with human episodic memory, became an interesting candidate gene for AD. Recently, KIBRA (rs17070145) was reported to be associated with AD in the genetic and functional levels in Caucasian and African-American, and the association might be different across age groups. To investigate the possibility of age-dependent association of KIBRA with AD in Asian, we conducted an independent replication study in a cohort of 1,586 subjects from Han Chinese (including 790 LOAD patients and 796 healthy controls). The results revealed no significant differences in the distributions of genotype or allele between LOAD and control groups in the total sample. However, when these data were stratified by their age, we observed a significant difference in the genotypes and alleles frequencies (genotype: p = 0.004, allele: p = 0.035) in the young subgroup. Moreover, the association was further demonstrated in logistic regression analysis (rs17070145: p = 0.045, OR = 0.428). Our data suggested that KIBRA might associate with younger AD patients (≤74 years) in a Northern Han Chinese population.     

Decrease of dynamin 2 levels in late-onset Alzheimer’s disease alters Aβ metabolism

Late-onset Alzheimer’s disease (LOAD) is significantly associated with a single nucleotide polymorphism located in the dynamin (DNM) 2 gene, especially in non-carriers of the apolipoprotein E-ε4 allele. In this study we used real-time PCR to show that DNM2 mRNA is significantly reduced in the cortex of AD brains and in the peripheral blood of dementia patients. Neuroblastoma cells transfected with a dominant negative DNM2 had increased amyloid beta protein (Aβ) secretion and most of the amyloid precursor protein (APP) in these cells was localized to the plasma membrane. In addition, these cells were rich in flotillin, which is a component of lipid rafts. These data suggest that DNM2 expression is reduced in LOAD, which results in the accumulation of APP in lipid raft-rich plasma membranes. Consequently, Aβ secretion may increase in LOAD neurons.     

A Missense Variant in <Emphasis Type="Italic">TREML2</Emphasis> Reduces Risk of Alzheimer’s Disease in a Han Chinese Population

Recently, Benitez and colleagues re-analyzed whole-exome sequencing data and revealed that a coding missense variant (rs3747742-C) in triggering receptor expressed on myeloid cells-like 2 (TREML2) gene reduced late-onset Alzheimer’s disease (LOAD) risk in Caucasians. To date, no study was carried out to test this association in other ethnic groups and populations, including Han Chinese. Therefore, the aim of the current study was to validate the relation between rs3747742 and LOAD susceptibility in a large Han Chinese population including 992 LOAD patients and 1358 healthy controls. In the total sample, the minor (C) allele of rs3747742 was associated with a reduced LOAD risk under the recessive genetic model after Bonferroni correction (odds ratio (OR)?=?0.713; 95 % confidence interval (CI): 0.546–0.932; P?=?0.013, Bonferroni-corrected P?=?0.039). Interestingly, after stratifying data according to apolipoprotein E (APOE) ε4 status, we revealed that this protection only exists in APOE ε4 carriers (recessive genetic model, OR?=?0.448; 95 % CI: 0.262–0.765; P?=?0.003, Bonferroni-corrected P?=?0.009) in our cohort. Taken together, our findings support rs3747742-C as a protective factor for LOAD, especially in APOE ε4 carriers.     

Single Nucleotide Polymorphism rs11136000 of CLU Gene (Clusterin,ApoJ) and the Risk of Late-Onset Alzheimer’s Disease in a Central European Population

Clusterin (CLU; also known as apolipoprotein J, ApoJ) is a protein of inconstant structure known to be involved in diverse processes inside and outside of brain cells. CLU can act as a protein chaperon or protein solubilizer, lipid transporter as well as redox sensor and be anti- or proapoptotic, depending on context. Primary structure of CLU is encoded by CLU gene which contains single nucleotide polymorphisms (SNP’s) associated with the risk of late-onset Alzheimer’s disease (LOAD). Studying a sample of Czech population and using the case-control association approach we identified C allele of the SNP rs11136000 as conferring a reduced risk of LOAD, more so in females than in males. Additionally, data from two smaller subsets of the population sample suggested a possible association of rs11136000 with diabetes mellitus. In a parallel study, we found no association between rs11136000 and mild cognitive impairment (MCI). Our findings on rs11136000 and LOAD contradict those of some previous studies done elsewhere. We discuss the multiple roles of CLU in a broad range of molecular mechanisms that may contribute to the variability of genetic studies of CLU in various ethnic groups. The above discordance notwithstanding, our conclusions support the association of rs1113600 with the risk of LOAD.

     

Polygenic Analysis of Late-Onset Alzheimer’s Disease from Mainland China

Recently, a number of single nucleotide polymorphisms (SNPs) were identified to be associated with late-onset Alzheimer disease (LOAD) through genome-wide association study data. Identification of SNP-SNP interaction played an important role in better understanding genetic basis of LOAD. In this study, fifty-eight SNPs were screened in a cohort of 229 LOAD cases and 318 controls from mainland China, and their interaction was evaluated by a series of analysis methods. Seven risk SNPs and six protective SNPs were identified to be associated with LOAD. Risk SNPs included rs9331888 (CLU), rs6691117 (CR1), rs4938933 (MS4A), rs9349407 (CD2AP), rs1160985 (TOMM40), rs4945261 (GAB2) and rs5984894 (PCDH11X); Protective SNPs consisted of rs744373 (BIN1), rs1562990 (MS4A), rs597668 (EXOC3L2), rs9271192 (HLA-DRB5/DRB1), rs157581 and rs11556505 (TOMM40). Among positive SNPs presented above, we found the interaction between rs4938933 (risk) and rs1562990 (protective) in MS4A weakened their each effect for LOAD; for three significant SNPs in TOMM40, their cumulative interaction induced the two protective SNPs effects lost and made the risk SNP effect aggravate for LOAD. Finally, we found rs6656401-rs3865444 (CR1-CD33) pairs were significantly associated with decreasing LOAD risk, while rs28834970-rs6656401 (PTK2B-CR1), and rs28834970-rs6656401 (PTK2B-CD33) were associated with increasing LOAD risk. In a word, our study indicates that SNP-SNP interaction existed in the same gene or cross different genes, which could weaken or aggravate their initial single effects for LOAD.     

A scan of chromosome 10 identifies a novel locus showing strong association with late-onset Alzheimer disease

Strong evidence of linkage to late-onset Alzheimer disease (LOAD) has been observed on chromosome 10, which implicates a wide region and at least one disease-susceptibility locus. Although significant associations with several biological candidate genes on chromosome 10 have been reported, these findings have not been consistently replicated, and they remain controversial. We performed a chromosome 10–specific association study with 1,412 gene-based single-nucleotide polymorphisms (SNPs), to identify susceptibility genes for developing LOAD. The scan included SNPs in 677 of 1,270 known or predicted genes; each gene contained one or more markers, about half (48%) of which represented putative functional mutations. In general, the initial testing was performed in a white case-control sample from the St. Louis area, with 419 LOAD cases and 377 age-matched controls. Markers that showed significant association in the exploratory analysis were followed up in several other white case-control sample sets to confirm the initial association. Of the 1,397 markers tested in the exploratory sample, 69 reached significance (P<.05). Five of these markers replicated at P<.05 in the validation sample sets. One marker, rs498055, located in a gene homologous to RPS3A (LOC439999), was significantly associated with Alzheimer disease in four of six case-control series, with an allelic P value of .0001 for a meta-analysis of all six samples. One of the case-control samples with significant association to rs498055 was derived from the linkage sample (P=.0165). These results indicate that variants in the RPS3A homologue are associated with LOAD and implicate this gene, adjacent genes, or other functional variants (e.g., noncoding RNAs) in the pathogenesis of this disorder.     

Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease

Background

Late Onset Alzheimer''s disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes.

Methodology

We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset.

Principal Findings

We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD.

Significance

Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimer''s disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.     

Genetic association study on in and around the APOE in late-onset Alzheimer disease in Japanese

The ?4 allele of APOE is a well-characterized genetic risk factor for late-onset Alzheimer disease (LOAD). Nevertheless, using high-density single nucleotide polymorphisms (SNPs), there have only been a few studies involving genetic association and linkage disequilibrium (LD) analyses of in and around the APOE. Here, we report fine mapping of a genomic region (about 200 kb) including the APOE in Japanese using 260 SNPs (mean intermaker distance, 0.77 kb). A case-control study demonstrated that 36 of these SNPs exhibited significance after adjustment for multiple testing. These SNPs are located in a genomic region including four genes, PVRL2, TOMM40, APOE and APOC1. Recombination rate estimation revealed that the associated region is firmly sandwiched between two recombination hotspots. Strong LD between these SNPs was observed (mean |D′| = 0.914). These data suggest that the three genes other than APOE, i.e. PVRL2, TOMM40 and APOC1, could also yield a predisposition to LOAD.     

Alzheimer’s Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci

Late onset Alzheimer’s disease (LOAD) is a genetically complex and clinically heterogeneous disease. Recent large-scale genome wide association studies (GWAS) have identified more than twenty loci that modify risk for AD. Despite the identification of these loci, little progress has been made in identifying the functional variants that explain the association with AD risk. Thus, we sought to determine whether the novel LOAD GWAS single nucleotide polymorphisms (SNPs) alter expression of LOAD GWAS genes and whether expression of these genes is altered in AD brains. The majority of LOAD GWAS SNPs occur in gene dense regions under large linkage disequilibrium (LD) blocks, making it unclear which gene(s) are modified by the SNP. Thus, we tested for brain expression quantitative trait loci (eQTLs) between LOAD GWAS SNPs and SNPs in high LD with the LOAD GWAS SNPs in all of the genes within the GWAS loci. We found a significant eQTL between rs1476679 and PILRB and GATS, which occurs within the ZCWPW1 locus. PILRB and GATS expression levels, within the ZCWPW1 locus, were also associated with AD status. Rs7120548 was associated with MTCH2 expression, which occurs within the CELF1 locus. Additionally, expression of several genes within the CELF1 locus, including MTCH2, were highly correlated with one another and were associated with AD status. We further demonstrate that PILRB, as well as other genes within the GWAS loci, are most highly expressed in microglia. These findings together with the function of PILRB as a DAP12 receptor supports the critical role of microglia and neuroinflammation in AD risk.     

Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-wide SNP Data

Coronary artery disease(CAD) is a complex human disease, involving multiple genes and their nonlinear interactions, which often act in a modular fashion. Genome-wide single nucleotide polymorphism(SNP) profiling provides an effective technique to unravel these underlying genetic interplays or their functional involvements for CAD. This study aimed to identify the susceptible pathways and modules for CAD based on SNP omics. First, the Wellcome Trust Case Control Consortium(WTCCC) SNP datasets of CAD and control samples were used to assess the jointeffect of multiple genetic variants at the pathway level, using logistic kernel machine regression model. Then, an expanded genetic network was constructed by integrating statistical gene–gene interactions involved in these susceptible pathways with their protein–protein interaction(PPI)knowledge. Finally, risk functional modules were identified by decomposition of the network. Of 276 KEGG pathways analyzed, 6 pathways were found to have a significant effect on CAD. Other than glycerolipid metabolism, glycosaminoglycan biosynthesis, and cardiac muscle contraction pathways, three pathways related to other diseases were also revealed, including Alzheimer's disease, non-alcoholic fatty liver disease, and Huntington's disease. A genetic epistatic network of 95 genes was further constructed using the abovementioned integrative approach. Of 10 functional modules derived from the network, 6 have been annotated to phospholipase C activity and cell adhesion molecule binding, which also have known functional involvement in Alzheimer's disease.These findings indicate an overlap of the underlying molecular mechanisms between CAD and Alzheimer's disease, thus providing new insights into the molecular basis for CAD and its molecular relationships with other diseases.     

Associations of rs3740677 within <Emphasis Type="Italic">GAB2</Emphasis> Gene with LOAD in Chinese Han Population

GRB2-associated binding protein 2 (GAB2) has been identified as a crucial factor in Alzheimer’s disease (AD), and ten common variants within GAB2 have been detected to be associated with AD onset risk in genome-wide association studies (GWAS). Here, we first screened a common locus (rs3740677) in 3′ UTR of GAB2 sequence which is targeted by the miRNA-185 and initiatively explored the probable associations of rs3740677 with risk for late-onset AD (LOAD) in a large scale case–control study from Chinese Han populations (992 LOAD patients and 1358 healthy subjects). Eventually, the genotype (P?=?0.024) and allele (P?=?0.008) distribution of rs3740677 showed significant difference between LOAD and control group, and we observed a significant association of T allele in rs3740677 with LOAD risk in multivariate analysis and it decreased the risk for LOAD (dominant: OR?=?0.831, 95 % CI?=?0.702–0.983, P?=?0.031; additive: OR?=?0.855, 95 % CI?=?0.745–0.983, P?=?0.027) adjusted for age, gender, and APOE ε4 status. Our study further confirmed the association of GAB2 and AD. However, the absolute and correct association of rs3740677 with AD still required more investigations in diverse regions and ethnics.     

Expression of Novel Alzheimer’s Disease Risk Genes in Control and Alzheimer’s Disease Brains

Late onset Alzheimer’s disease (LOAD) etiology is influenced by complex interactions between genetic and environmental risk factors. Large-scale genome wide association studies (GWAS) for LOAD have identified 10 novel risk genes: ABCA7, BIN1, CD2AP, CD33, CLU, CR1, EPHA1, MS4A6A, MS4A6E, and PICALM. We sought to measure the influence of GWAS single nucleotide polymorphisms (SNPs) and gene expression levels on clinical and pathological measures of AD in brain tissue from the parietal lobe of AD cases and age-matched, cognitively normal controls. We found that ABCA7, CD33, and CR1 expression levels were associated with clinical dementia rating (CDR), with higher expression being associated with more advanced cognitive decline. BIN1 expression levels were associated with disease progression, where higher expression was associated with a delayed age at onset. CD33, CLU, and CR1 expression levels were associated with disease status, where elevated expression levels were associated with AD. Additionally, MS4A6A expression levels were associated with Braak tangle and Braak plaque scores, with elevated expression levels being associated with more advanced brain pathology. We failed to detect an association between GWAS SNPs and gene expression levels in our brain series. The minor allele of rs3764650 in ABCA7 is associated with age at onset and disease duration, and the minor allele of rs670139 in MS4A6E was associated with Braak tangle and Braak plaque score. These findings suggest that expression of some GWAS genes, namely ABCA7, BIN1, CD33, CLU, CR1 and the MS4A family, are altered in AD brains.     

Epigenetics in Alzheimer’s Disease: Perspective of DNA Methylation

Research over the years has shown that causes of Alzheimer’s disease are not well understood, but over the past years, the involvement of epigenetic mechanisms in the developing memory formation either under pathological or physiological conditions has become clear. The term epigenetics represents the heredity of changes in phenotype that are independent of altered DNA sequences. Different studies validated that cytosine methylation of genomic DNA decreases with age in different tissues of mammals, and therefore, the role of epigenetic factors in developing neurological disorders in aging has been under focus. In this review, we summarized and reviewed the involvement of different epigenetic mechanisms especially the DNA methylation in Alzheimer’s disease (AD), late-onset Alzheimer’s disease (LOAD), familial Alzheimer’s disease (FAD), and autosomal dominant Alzheimer’s disease (ADAD). Down to the minutest of details, we tried to discuss the methylation patterns like mitochondrial DNA methylation and ribosomal DNA (rDNA) methylation. Additionally, we mentioned some therapeutic approaches related to epigenetics, which could provide a potential cure for AD. Moreover, we reviewed some recent studies that validate DNA methylation as a potential biomarker and its role in AD. We hope that this review will provide new insights into the understanding of AD pathogenesis from the epigenetic perspective especially from the perspective of DNA methylation.