Candidate Gene For Alzheimer's Disease Research Articles

Exploration of the shared genetic biomarkers in Alzheimer's disease and chronic kidney disease using integrated bioinformatics analysis.

In order to investigate the potential link between Alzheimer's disease (AD) and chronic kidney disease (CKD), we conducted a comprehensive analysis using a bioinformatics approach. We downloaded AD and CKD datasets from the Gene Expression Omnibus database and analyzed differentially expressed genes and weighted gene co-expression networks to identify candidate genes for AD and CKD. We used a combination of the least absolute shrinkage and selection operator and random forest algorithms to select the shared genes. Subsequently, we shared genes and performed an immune infiltration analysis to investigate the association between different immune cell types and shared genes. Finally, we elucidated the relationship between the expression levels of the shared genes in disease samples and cells using single-cell analysis. Our analysis identified 150 candidate genes that may be primarily involved in immune inflammatory responses and energy metabolism pathways. We found that JunD Proto-Oncogene, ALF transcription elongation factor 1, and ZFP36 Ring Finger Protein Like 1 were the best co-diagnostic markers for AD and CKD based on the results of Least Absolute Shrinkage Selection Operator analysis and the random forest algorithm. Based on the results of immune infiltration analysis, macrophages and T-cells play a significant role in the progression of AD and CKD. Our scRNA-sequencing data showed that the 3 shared genes in AD were significantly expressed in astrocytes, excitatory neurons, oligodendrocytes, and MAIT cells. The 3 shared genes in CKD were significantly expressed in oligodendrocytes, neutrophils, fibroblasts, astrocytes, and T-cells. JunD Proto-Oncogene, ALF transcription elongation factor 1, and ZFP36 Ring Finger Protein Like 1 genes are the best diagnostic markers for AD and CKD.

A Matter of Timing: Rudy Tanzi on Alzheimer's Disease

A Matter of Timing: Rudy Tanzi on Alzheimer's Disease

Identification of genetic modifiers for Alzheimer disease: The Familial Alzheimer Sequencing (FASe) project.

The Familial Alzheimer Sequencing (FASe) project aims to identify rare and high penetrant variants that have strong effect in the etiology of Alzheimer Disease (AD) by using sequencing data from families densely affected by late onset AD (fLOAD). We have generated whole genome sequence (WGS) data for 952 samples (758 cases, 194 controls) from the Knight-ADRC at Washington University (WASHU), the NIALOAD and NCRAD repositories. These samples are being added to our current dataset of whole exome (WES) and WGS from 1,235 non-Hispanic white participants (824 cases, 411 controls) across 285 fLOAD families. These samples have no or minimum overlap with the families sequenced by the ADSP consortia which will also be incorporated to our dataset; a total of 440 families and 3,187 samples (average of 5 cases and 2 controls per family) will be analyzed. We are processing all the data using the same bioinformatics pipeline. Briefly, sequence reads are aligned against reference build GRCh38 using BWA; variant calling is restricted to exonic regions following GATK v4.1.2 best practices. Data analysis includes single variant association, segregation, gene-based and pathway analysis. We have detected a genetic cross-over between AD, Frontotemporal Dementia and Parkinson disease, and we also identified rare variants in novel candidate genes for AD (PLD3, UNC5C, CPAMD8) highlighting the power of our dataset and the feasibility of our approach. We hope to identify novel variants and pathways implicated on AD, which will be followed-up in the case-control ADSP.

LAMP2 deficiency attenuates the neurodegeneration markers induced by HSV-1 infection

Mounting evidence suggests a major role of infectious agents in the pathogenesis of sporadic Alzheimer's disease (AD). Among them, herpes simplex virus type 1 (HSV-1) infection has emerged as a major factor in the etiology of AD. HSV-1 is able to induce some of the main alterations of the disease such as hyperphosphorylation of tau protein and accumulation of amyloid-β peptide. Functional genomic analysis of a cell model of HSV-1 infection and oxidative stress developed in our laboratory revealed lysosomal system to be the main pathway altered, and the lysosome-associated membrane protein 2 (LAMP2) gene one of the most strongly modulated genes. The aim of this work is to study LAMP2 as an AD candidate gene and to investigate its role in the neurodegeneration induced by HSV-1 using a LAMP2 knockdown cell model. LAMP2 deficiency led to a significant reduction of viral DNA replication and formation of infectious particles. In addition, tau hyperphosphorylation and inhibition of Aβ secretion induced by the virus were attenuated by the absence of LAMP2. Finally, genetic association studies revealed LAMP2 genetic variants to be associated with AD risk. In summary, our data indicate that LAMP2 could be a suitable candidate to mediate the AD-like phenotype caused by HSV-1.

Genetic Variants Associated With Alzheimer Disease in the 22 Arab Countries: A Systematic Review.

Alzheimer disease (AD) is a progressive and complex neurodegenerative disease. Approximately 70% of AD risk is attributed to genetic risk factors, including variants in amyloid precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) genes. Several studies have revealed a considerable number of candidate loci and genes for AD among different ethnic populations. However, the outcomes of these studies have been inconsistent. In this study, we aimed to investigate the spectrum of variants that are associated with the onset and development of AD among 22 Arab countries. We systematically searched 4 literature databases (Science Direct, Scopus, PubMed, and Web of Science) from the date of inception until July 2020 using various search terms to obtain all the reported genetic data on Arab AD cases. In total, 18 studies were included, comprising a total of 2173 individuals, of whom 888 were clinically diagnosed AD patients and were genetically tested for genes and variants associated with AD. A total of 27 variants in 8 genes were found to be associated with AD. Of these variants, 17 were unique to the Arab population and 10 were shared with other ethnic groups. There is a dearth of studies on the genetics of AD in the Arab world. There seems to be distinctive genetic and clinical susceptibility profiles for Arab patients with AD.

Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks.

Biomedical research studies have generated large multi-omic datasets to study complex diseases like Alzheimer’s disease (AD). An important aim of these studies is the identification of candidate genes that demonstrate congruent disease-related alterations across the different data types measured by the study. We developed a new method to detect such candidate genes in large multi-omic case-control studies that measure multiple data types in the same set of samples. The method is based on a gene-centric integrative coefficient quantifying to what degree consistent differences are observed in the different data types. For statistical inference, a Bayesian hierarchical model is used to study the distribution of the integrative coefficient. The model employs a conditional autoregressive prior to integrate a functional gene network and to share information between genes known to be functionally related. We applied the method to an AD dataset consisting of histone acetylation, DNA methylation, and RNA transcription data from human cortical tissue samples of 233 subjects, and we detected 816 genes with consistent differences between persons with AD and controls. The findings were validated in protein data and in RNA transcription data from two independent AD studies. Finally, we found three subnetworks of jointly dysregulated genes within the functional gene network which capture three distinct biological processes: myeloid cell differentiation, protein phosphorylation and synaptic signaling. Further investigation of the myeloid network indicated an upregulation of this network in early stages of AD prior to accumulation of hyperphosphorylated tau and suggested that increased CSF1 transcription in astrocytes may contribute to microglial activation in AD. Thus, we developed a method that integrates multiple data types and external knowledge of gene function to detect candidate genes, applied the method to an AD dataset, and identified several disease-related genes and processes demonstrating the usefulness of the integrative approach.

Immunoglobulin Genes and Immunity to HSV1 in Alzheimer's Disease.

Although genome-wide association studies (GWAS) of late-onset Alzheimer's disease (AD) have identified numerous genes that influence the risk for disease, the majority of the genetic variance of AD remains uncharacterized. Furthermore, current GWAS, despite their name, do not evaluate all genes in the human genome. One such gene complex is immunoglobulin GM (γ marker) genes on chromosome 14. GM genes are excellent candidate genes for AD because they influence immunity to herpes simplex virus type 1 (HSV1), which has been implicated in AD pathology by an increasing number of reports. The aim of this investigation was to determine if particular GM genotypes were associated with AD and mild cognitive impairment (MCI), and whether they contributed to the interindividual differences in the level of anti-HSV1 IgG antibodies. A total of 141 HSV1 seropositive individuals-56 AD patients, 48 MCI individuals, and 37 sex- and age-matched healthy controls-were characterized for GM alleles 3, 17, and 23. The homozygosity for the GM 3 allele was significantly associated with MCI (p = 0.025). GM 3/17 heterozygous AD patients had significantly higher levels of anti-HSV1 antibodies than the healthy controls expressing the same genotype (p = 0.0004). Among MCI subjects, the GM 3/17 genotype was associated with significantly higher level of anti-HSV1 antibodies as compared to the GM 17/17 homozygous genotype (pc = 0.040). Among AD patients, the GM 23+/-genotype was significantly associated with anti-HSV1 antibody responses (pc = 0.025). These results suggest that GM genes could act as potential unifiers of the genetic and viral etiology of AD.

Significant association between GPR50 hypomethylation and AD in males.

Alzheimer's disease (AD) is a chronic neurodegenerative disease. G protein coupled receptor 50 (GPR50) is a candidate gene for AD. The present study was designed to determine the association between GPR50 methylation and AD. The methylation levels of the GPR50 promoter in 51 patients with AD and 61 healthy controls were determined by bisulfite pyrophosphate sequencing. All participants were Han Chinese, living in Ningbo. It was identified that the GPR50 promoter methylation level was significantly decreased in the male AD group compared with the male control group (9.15 vs. 16.67%, P=0.002). In addition, it was observed that the GPR50 methylation levels of the females was significantly increased compared with that of males in both the patients with AD and the healthy control group (AD patient group: 33.00 vs. 9.15%, P<0.0001; healthy control group: 29.41 vs. 16.67%, P<0.0001). This may be explained by the fact that GPR50 is located on the X chromosome. In addition, GPR50 methylation was positively correlated with plasma cholinesterase levels in female patients with AD (r=0.489, P=0.039). The present study demonstrated that hypomethylation of the GPR50 promoter in peripheral blood may be a potential biomarker for the diagnosis of AD in Chinese Han males.

Rare genetic variation implicated in non-Hispanic white families with Alzheimer disease.

ObjectiveTo identify genetic variation influencing late-onset Alzheimer disease (LOAD), we used a large data set of non-Hispanic white (NHW) extended families multiply-affected by LOAD by performing whole genome sequencing (WGS).MethodsAs part of the Alzheimer Disease Sequencing Project, WGS data were generated for 197 NHW participants from 42 families (affected individuals and unaffected, elderly relatives). A two-pronged approach was taken. First, variants were prioritized using heterogeneity logarithm of the odds (HLOD) and family-specific LOD scores as well as annotations based on function, frequency, and segregation with disease. Second, known Alzheimer disease (AD) candidate genes were assessed for rare variation using a family-based association test.ResultsWe identified 41 rare, predicted-damaging variants that segregated with disease in the families that contributed to the HLOD or family-specific LOD regions. These included a variant in nitric oxide synthase 1 adaptor protein that segregates with disease in a family with 7 individuals with AD, as well as variants in RP11-433J8, ABCA1, and FISP2. Rare-variant association identified 2 LOAD candidate genes associated with disease in these families: FERMT2 (p-values = 0.001) and SLC24A4 (p-value = 0.009). These genes still showed association while controlling for common index variants, indicating the rare-variant signal is distinct from common variation that initially identified the genes as candidates.ConclusionsWe identified multiple genes with putative damaging rare variants that segregate with disease in multiplex AD families and showed that rare variation may influence AD risk at AD candidate genes. These results identify novel AD candidate genes and show a role for rare variation in LOAD etiology, even at genes previously identified by common variation.

In vivo and ex vivo analyses of amyloid toxicity in the Tc1 mouse model of Down syndrome.

Rationale:The prevalence of Alzheimer’s disease is increased in people with Down syndrome. The pathology appears much earlier than in the general population, suggesting a predisposition to develop Alzheimer’s disease. Down syndrome results from trisomy of human chromosome 21, leading to overexpression of possible Alzheimer’s disease candidate genes, such as amyloid precursor protein gene. To better understand how the Down syndrome context results in increased vulnerability to Alzheimer’s disease, we analysed amyloid-β [25-35] peptide toxicity in the Tc1 mouse model of Down syndrome, in which ~75% of protein coding genes are functionally trisomic but, importantly, not amyloid precursor protein.Results:Intracerebroventricular injection of oligomeric amyloid-β [25-35] peptide in three-month-old wildtype mice induced learning deficits, oxidative stress, synaptic marker alterations, activation of glycogen synthase kinase-3β, inhibition of protein kinase B (AKT), and apoptotic pathways as compared to scrambled peptide-treated wildtype mice. Scrambled peptide-treated Tc1 mice presented high levels of toxicity markers as compared to wildtype mice. Amyloid-β [25-35] peptide injection in Tc1 mice induced significant learning deficits and enhanced glycogen synthase kinase-3β activity in the cortex and expression of apoptotic markers in the hippocampus and cortex. Interestingly, several markers, including oxidative stress, synaptic markers, glycogen synthase kinase-3β activity in the hippocampus and AKT activity in the hippocampus and cortex, were unaffected by amyloid-β [25-35] peptide injection in Tc1 mice.Conclusions:Tc1 mice present several toxicity markers similar to those observed in amyloid-β [25-35] peptide-treated wildtype mice, suggesting that developmental modifications in these mice modify their response to amyloid peptide. However, amyloid toxicity led to severe memory deficits in this Down syndrome mouse model.

MEF2C mRNA expression and cognitive function in Japanese patients with Alzheimer's disease.

Despite continuing research into Alzheimer's disease (AD), its pathological mechanisms and modulating factors remain unknown. Several genes influence AD pathogenesis by affecting inflammatory pathways. Myocyte-enhancer factor 2C (MEF2C) is one such candidate gene for AD. We examined MEF2C mRNA expression levels and methylation rates of CpG on its promoter region in peripheral leukocytes from Japanese AD patients compared with age- and sex-matched control subjects. In peripheral leukocytes, MEF2C mRNA expression levels in AD subjects were significantly lower than those in control subjects (0.86 ± 0.25 vs 0.99 ± 0.27, respectively, P = 0.007) and were correlated with the Alzheimer's Disease Assessment Scale (r = -0.345, P = 0.049) and the Mini Mental State Examination (r = 0.324, P = 0.02). No significant differences were found in methylation rates between AD and control subjects. MEF2C mRNA expression in leukocytes may be a biological marker for cognitive decline in AD.

Whole exome sequence-based association analyses of plasma amyloid-β in African and European Americans; the Atherosclerosis Risk in Communities-Neurocognitive Study.

ObjectiveWe performed single-variant and gene-based association analyses of plasma amyloid-β (aβ) concentrations using whole exome sequence from 1,414 African and European Americans. Our goal was to identify genes that influence plasma aβ42 concentrations and aβ42:aβ40 ratios in late middle age (mean = 59 years), old age (mean = 77 years), or change over time (mean = 18 years).MethodsPlasma aβ measures were linearly regressed onto age, gender, APOE ε4 carrier status, and time elapsed between visits (fold-changes only) separately by race. Following inverse normal transformation of the residuals, seqMeta was used to conduct race-specific single-variant and gene-based association tests while adjusting for population structure. Linear regression models were fit on autosomal variants with minor allele frequencies (MAF)≥1%. T5 burden and Sequence Kernel Association (SKAT) gene-based tests assessed functional variants with MAF≤5%. Cross-race fixed effects meta-analyses were Bonferroni-corrected for the number of variants or genes tested.ResultsSeven genes were associated with aβ in late middle age or change over time; no associations were identified in old age. Single variants in KLKB1 (rs3733402; p = 4.33x10-10) and F12 (rs1801020; p = 3.89x10-8) were significantly associated with midlife aβ42 levels through cross-race meta-analysis; the KLKB1 variant replicated internally using 1,014 additional participants with exome chip. ITPRIP, PLIN2, and TSPAN18 were associated with the midlife aβ42:aβ40 ratio via the T5 test; TSPAN18 was significant via the cross-race meta-analysis, whereas ITPRIP and PLIN2 were European American-specific. NCOA1 and NT5C3B were associated with the midlife aβ42:aβ40 ratio and the fold-change in aβ42, respectively, via SKAT in African Americans. No associations replicated externally (N = 725).ConclusionWe discovered age-dependent genetic effects, established associations between vascular-related genes (KLKB1, F12, PLIN2) and midlife plasma aβ levels, and identified a plausible Alzheimer’s Disease candidate gene (ITPRIP) influencing cell death. Plasma aβ concentrations may have dynamic biological determinants across the lifespan; plasma aβ study designs or analyses must consider age.

Genome-wide haplotype association study identify TNFRSF1A, CASP7, LRP1B, CDH1 and TG genes associated with Alzheimer's disease in Caribbean Hispanic individuals.

Alzheimer's disease (AD) is an acquired disorder of cognitive and behavioral impairment. It is considered to be caused by variety of factors, such as age, environment and genetic factors. In order to identify the genetic affect factors of AD, we carried out a bioinformatic approach which combined genome-wide haplotype-based association study with gene prioritization. The raw SNP genotypes data was downloaded from GEO database (GSE33528). It contains 615 AD patients and 560 controls of Caribbean Hispanic individuals. Firstly, we identified the linkage disequilibrium (LD) haplotype blocks and performed genome-wide haplotype association study to screen significant haplotypes that were associated with AD. Then we mapped these significant haplotypes to genes and obtained candidate genes set for AD. At last, we prioritized AD candidate genes based on their similarity with 36 known AD genes, so as to identify AD related genes. The results showed that 141 haplotypes on 134 LD blocks were significantly associated with AD (P<1E-4), and these significant haplotypes were mapped to 132 AD candidate genes. After prioritizing these candidate genes, we found seven AD related genes: APOE, APOC1, TNFRSF1A, LRP1B, CDH1, TG and CASP7. Among these genes, APOE and APOC1 are known AD risk genes. For the other five genes TNFRSF1A, CDH1, CASP7, LRP1B and TG, this is the first genetic association study which showed the significant association between these five genes and AD susceptibility in Caribbean Hispanic individuals. We believe that our findings can provide a new perspective to understand the genetic affect factors of AD.

Inflammation in Alzheimer's Disease and Molecular Genetics: Recent Update.

Alzheimer's disease (AD) is a complex age-related neurodegenerative disorder of the central nervous system. Since the first description of AD in 1907, many hypotheses have been established to explain its causes. The inflammation theory is one of them. Pathological and biochemical studies of brains from AD individuals have provided solid evidence of the activation of inflammatory pathways. Furthermore, people with long-term medication of anti-inflammatory drugs have shown a reduced risk to develop the disease. After three decades of genetic study in AD, dozens of loci harboring genetic variants influencing inflammatory pathways in AD patients has been identified through genome-wide association studies (GWAS). The most well-known GWAS risk factor that is responsible for immune response and inflammation in AD development should be APOE ε4 allele. However, a growing number of other GWAS risk AD candidate genes in inflammation have recently been discovered. In the present study, we try to review the inflammation in AD and immunity-associated GWAS risk genes like HLA-DRB5/DRB1, INPP5D, MEF2C, CR1, CLU and TREM2.

Sex moderates the effects of the Sorl1 gene rs2070045 polymorphism on cognitive impairment and disruption of the cingulum integrity in healthy elderly.

The SORL1 rs2070045 polymorphism was reported to be associated with SorLA expression in the brain and the risk of late-onset Alzheimer's disease (AD). However, the influence of this polymorphism on cognitive functioning is likely to be moderated by sex. This study aimed to examine the sex moderation on the effects of rs2070045 on neuropsychological performance and the cingulum integrity in Chinese Han population. In this study, 780 non-demented older adults completed a battery of neuropsychological scales. Diffusion tensor images (DTI) of 126 subjects were acquired. We adopted the atlas-based segmentation strategy for calculating the DTI indices of the bilateral cingulum and cingulum hippocampal part for each subject. We used a multivariate analysis of variance (MANOVA) to compare the cognitive performance and DTI differences between the rs2070045 genotype. Controlling for age, education, and the APOE ɛ4 status, the influence of sex on the effects of the rs2070045 polymorphism on executive function was observed. We also found an interaction between sex and the rs2070045 polymorphism on the white matter (WM) microstructure of the left cingulum hippocampal part. Furthermore, the mean diffusivity and axial diffusivity of the tract were associated with Trail Making Test performance in T/T men. These results hint that sex moderates the association between the rs2070045 polymorphism and executive function, as well as the WM integrity of the left cingulum hippocampal part. Our findings underscore the importance of considering the influence of sex when examining the candidate genes for cognitive abilities and AD.

Population-based analysis of cholesteryl ester transfer protein identifies association between I405V and cognitive decline: the Cache County Study

Cholesterol has been implicated in the pathogenesis of late-onset Alzheimer's disease (LOAD) and the cholesteryl ester transfer protein (CETP) is critical to cholesterol regulation within the cell, making CETP an Alzheimer's disease candidate gene. Several studies have suggested that CETP I405V (rs5882) is associated with cognitive function and LOAD risk, but findings vary and most studies have been conducted using relatively small numbers of samples. To test whether this variant is involved in cognitive function and LOAD progression, we genotyped 4486 subjects with up to 12 years of longitudinal cognitive assessment. Analyses revealed an average 0.6-point decrease per year in the rate of cognitive decline for each additional valine (p < 0.011). We failed to detect the association between CETP I405V and LOAD status (p < 0.28). We conclude that CETP I405V is associated with preserved cognition over time but is not associated with LOAD status.

Polymorphism in Cytochrome P450 2D6, Glutathione S-Transferases Pi 1 Genes, and Organochlorine Pesticides in Alzheimer Disease

It has been assumed that the association between Alzheimer disease (AD) and pesticides may be stronger among genetically susceptible individuals. The aim of the study was to examine the genetic polymorphism in cytochrome P450 2D6 (CYP2D6) and glutathione S-transferases pi 1 (GSTP1) with respect to organochlorine pesticides (OCPs) and metals in AD. This study included 100 patients with AD and 100 age-matched controls. The genetic polymorphisms were analyzed by restriction fragment length polymorphism. The OCPs and serum metal levels were determined using gas chromatography and an autoanalyzer, respectively. We found a statistically significant association between AD and high levels of β-hexachlorocyclohexane (β-HCH; odds ratio [OR] = 2.064, 95% confidence intervals [95% CIs] = 1.373-3.102, dieldrin [OR = 2.086, 95% CI = 1.224-3.555], and copper [OR = 1.038, 95% CI = 1.012-1.064). The significant low level of magnesium (OR = 0.151, 95% CI = 0.047-0.489) even appears to have a protective role against AD. The GSTP1*B (P = .009) and GSTP1*C (P = .011) allelic variants were associated with increase in AD risk. This study demonstrates that the GSTP1*B and *C allelic variants may be considered a candidate gene for AD. It can be suggested that although CYP2D6*4 polymorphism is not a risk of AD, the CYP2D6*4 and GSTP1 polymorphism may interact with β-HCH, dieldrin, and copper to influence the risk of AD.

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 (≤74years) in a Northern Han Chinese population.

Novel rare variants associated with late-onset Alzheimer's disease candidate genes in Caribbean Hispanic families

Novel rare variants associated with late-onset Alzheimer's disease candidate genes in Caribbean Hispanic families

A Brief History of Alzheimer's Disease Gene Discovery

The rich and colorful history of gene discovery in Alzheimer's disease (AD) over the past three decades is as complex and heterogeneous as the disease, itself. Twin and family studies indicate that genetic factors are estimated to play a role in at least 80% of AD cases. The inheritance of AD exhibits a dichotomous pattern. On one hand, rare mutations inAPP, PSEN1, and PSEN2 are fully penetrant for early-onset (<60 years) familial AD, which represents <5% of AD. On the other hand, common gene polymorphisms, such as the 4 and 2 variants of the APOE gene, influence susceptibility for common (>95%) late-onset AD. These four genes account for 30-50% of the inheritability of AD. Genome-wide association studies have recently led to the identification of additional highly confirmed AD candidate genes. Here, I review the past, present, and future of attempts to elucidate the complex and heterogeneous genetic underpinnings of AD along with some of the unique events that made these discoveries possible.