Age At Onset Of Alzheimer's Disease Research Articles

Bayesian Cox Proportional Hazards Model in Survival Analysis of HACE1 Gene with Age at Onset of Alzheimer's Disease.

Alzheimer's disease (AD), the most common form of dementia, is a chronic neurodegenerative disease. The HECT domain and ankyrin repeat containing E3 ubiquitin protein ligase 1 (HACE1) gene is expressed in human brain and may play a role in the pathogenesis of neurodegenerative disorders. Till now, no previous study has reported the association of the HACE1 gene with the risk and age at onset (AAO) of AD; while few studies have checked the proportional hazards assumption in the survival analysis of AAO of AD using Cox proportional hazards model. In this study, we examined the associations of 14 single nucleotide polymorphisms (SNPs) in the HACE1 gene with the risk and the AAO of AD using 791 AD patients and 782 controls. Multiple logistic regression model identified one SNP (rs9499937 with p = 1.8×10-3) to be associated with the risk of AD. For survival analysis of AAO, both classic Cox regression model and Bayesian survival analysis using the Cox proportional hazards model were applied to examine the association of each SNP with the AAO. The hazards ratio (HR) with its 95% confidence interval (CI) was estimated. Survival analysis using the classic Cox regression model showed that 4 SNPs were significantly associated with the AAO (top SNP rs9499937 with HR=1.33, 95%CI=1.13-1.57, p=5.0×10-4). Bayesian Cox regression model showed similar but a slightly stronger associations (top SNP rs9499937 with HR=1.34, 95%CI=1.11-1.55) compared with the classic Cox regression model. Using an independent family-based sample, one SNP rs9486018 was associated with the risk of AD (p=0.0323) and the T-T-G haplotype from rs9786015, rs9486018 and rs4079063 showed associations with both the risk and AAO of AD (p=2.27×10-3 and 0.0487, respectively). The findings of this study provide first evidence that several genetic variants in the HACE1 gene were associated with the risk and AAO of AD.

Analysis of PTPRK polymorphisms in association with risk and age at onset of Alzheimer's disease, cancer risk, and cholesterol

The human receptor-type protein-tyrosine phosphatase kappa (PTPRK) gene is highly expressed in human brain and was previously associated with an increased risk of neuropsychiatric disorders and cancer. This study investigated the association of 52 single nucleotide polymorphisms (SNPs) in PTPRK with the risk and age at onset (AAO) of Alzheimer's disease (AD) in 791 AD patients and 782 controls. Our data analysis showed that five SNPs (top SNP rs4895829 with p = 0.0125) were associated with the risk of AD based on a multiple logistic regression (p < 0.05); while six SNPs (top SNP rs1891150 with p = 8.02 × 10−6) were associated with AAO by using a multiple linear regression analysis. Interestingly, rs2326681 was associated with both the risk and AAO of AD (p = 4.65 × 10−2 and 5.18 × 10−3, respectively). In a replication study, the results from family-based association test - generalized estimating equation (GEE) statistics and Wilcoxon test showed that seven SNPs were associated with the risk of AD (top SNP rs11756545 with p = 1.02 × 10−2) and 12 SNPs were associated with the AAO (top SNP rs11966128 with p = 1.39 × 10−4), respectively. One additional sample showed that four SNPs were associated with risk of cancer (top SNP rs1339197 with p = 4.1 × 10−3), 12 SNPs associated with LDL-cholesterol (top SNP rs4544930 with p = 3.47 × 10−3), and eight SNPs associated with total cholesterol (top SNP rs1012049 with p = 6.09 × 10−3). In addition, the AD associated rs4895829 was associated with the gene expression level in the cerebellum (p = 7.3 × 10−5). The present study is the first study providing evidence of several genetic variants within the PTPRK gene associated with the risk and AAO of AD, risk of cancer, LDL and total cholesterol levels.

Family-based association analysis of NAV2 gene with the risk and age at onset of Alzheimer's disease

The neuron navigator 2 (NAV2) gene is highly expressed in brain and involved in the nervous system development and may play a role in Alzheimer's disease (AD). We aimed to investigate the associations of 317 single-nucleotide polymorphisms (SNPs) in the NAV2 gene with the risk and age at onset (AAO) of AD using a family-based sample (1266 AD cases and 1279 healthy relatives). Association with the risk of AD was assessed using family-based association test -generalized estimating equations (FBAT- GEE) statistics while the association with AAO as a quantitative trait was evaluated using the FBAT-Wilcoxon statistic. Single marker analysis showed that 20 SNPs were significantly associated with the risk of AD (top SNP rs7112354 with p=8.46×10−4) and 11 SNPs were associated with AAO (top SNP rs1354269 with p=2.87×10−3). Interestingly, two SNPs rs17614100 and rs12364788 were associated with both the risk (p=1.7×10−2 and 2.71×10−2; respectively) and AAO (p=1.85×10−3 and 6.06×10−3; respectively). Haplotype analyses further supported the results of single marker analyses. In addition, functional analysis showed that NAV2 mRNA had significant expression across ten human brain regions examined and significantly correlated with APOE expression in four of ten regions. The present study is the first study providing evidence of several genetic variants within the NAV2 gene influencing the risk and AAO of AD.

Family-based genome scan for age at onset of late-onset Alzheimer's disease in whole exome sequencing data.

Alzheimer's disease (AD) is a common and complex neurodegenerative disease. Age at onset (AAO) of AD is an important component phenotype with a genetic basis, and identification of genes in which variation affects AAO would contribute to identification of factors that affect timing of onset. Increase in AAO through prevention or therapeutic measures would have enormous benefits by delaying AD and its associated morbidities. In this paper, we performed a family-based genome-wide association study for AAO of late-onset AD in whole exome sequence data generated in multigenerational families with multiple AD cases. We conducted single marker and gene-based burden tests for common and rare variants, respectively. We combined association analyses with variance component linkage analysis, and with reference to prior studies, in order to enhance evidence of the identified genes. For variants and genes implicated by the association study, we performed a gene-set enrichment analysis to identify potential novel pathways associated with AAO of AD. We found statistically significant association with AAO for three genes (WRN, NTN4 and LAMC3) with common associated variants, and for four genes (SLC8A3, SLC19A3, MADD and LRRK2) with multiple rare-associated variants that have a plausible biological function related to AD. The genes we have identified are in pathways that are strong candidates for involvement in the development of AD pathology and may lead to a better understanding of AD pathogenesis.

Midlife adiposity predicts earlier onset of Alzheimer's dementia, neuropathology and presymptomatic cerebral amyloid accumulation.

Understanding how midlife risk factors influence age at onset (AAO) of Alzheimer's disease (AD) may provide clues to delay disease expression. Although midlife adiposity predicts increased incidence of AD, it is unclear whether it affects AAO and severity of Alzheimer's neuropathology. Using a prospective population-based cohort, Baltimore Longitudinal Study of Aging (BLSA), this study aims to examine the relationships between midlife body mass index (BMI) and (1) AAO of AD (2) severity of Alzheimer's neuropathology and (3) fibrillar brain amyloid deposition during aging. We analyzed data on 1394 cognitively normal individuals at baseline (8643 visits; average follow-up interval 13.9 years), among whom 142 participants developed incident AD. In two subsamples of BLSA, 191 participants underwent autopsy and neuropathological assessment, and 75 non-demented individuals underwent brain amyloid imaging. Midlife adiposity was derived from BMI data at 50 years of age. We find that each unit increase in midlife BMI predicts earlier onset of AD by 6.7 months (P=0.013). Higher midlife BMI was associated with greater Braak neurofibrillary but not CERAD (Consortium to Establish a Registry for Alzheimer's Disease) neuritic plaque scores at autopsy overall. Associations between midlife BMI and brain amyloid burden approached statistical significance. Thus, higher midlife BMI was also associated with greater fibrillar amyloid measured by global mean cortical distribution volume ratio (P=0.075) and within the precuneus (left, P=0.061; right, P=0.079). In conclusion, midlife overweight predicts earlier onset of AD and greater burden of Alzheimer's neuropathology. A healthy BMI at midlife may delay the onset of AD.

Polymorphisms within ASTN2 gene are associated with age at onset of Alzheimer's disease.

Alzheimer's disease (AD) is a multifactorial neurological condition associated with genetic profiles that are still not completely understood. We performed a family-based low-density genome-wide association analysis of age at onset (AAO) in AD (244 patients and their relatives) using Illumina 6K single-nucleotide polymorphisms (SNPs) panel and the FBAT-logrank statistic. We observed 10 SNPs associated with AAO in AD with p<2×10(-3). The most significant hit within a known gene, the neuronal protein astrotactin 2 (ASTN2), was SNP rs1334071 (p=8.74×10(-4)). ASTN2 has been implicated in several neuropsychiatric disorders, including cognitive disorders, autism and schizophrenia. We then conducted a replication study focusing on ASTN2 gene in a Canadian sample of 791 AD patients and 782 controls using the logrank test. Five ASTN2 SNPs (highest association is rs16933774 with p=0.0053) showed associations with AAO in this Canadian sample (p<0.05). Furthermore, Kaplan-Meier survival analysis of SNP rs16933774 showed that the AAO of AD in individuals heterozygous for AG genotype of rs16933774 (median of AAO=68.5years) was approximately 4.5years earlier than those individuals having the AA genotype (median of AAO=73years). In conclusion, a significant association of ASTN2 genetic variants with AAO of AD in two independent samples demonstrates a role for ASTN2 in the pathogenesis of AD. Future functional studies of this gene may help to characterize the genetic architecture of the AAO of AD. Genetic factors in AAO may be a critical factor for early AD intervention and prevention efforts.

Genetic Variants in the SORL1 Gene Are Associated with Age at Onset of Alzheimer Disease: A Survival Analysis

Few studies focused on the association of SORL1 with the age at onset (AAO) of Alzheimer disease (AD). This study investigated the association of 43 SNPs in SORL1 with the AAO of AD by using the Kaplan-Meier survival analysis and the Cox proportional hazards model in SAS version 9.2 and linear regression model in PLINK software (791 AD patients and 782 controls). Both logrank test and Cox regression model showed that five SNPs (rs1784934, rs676759, rs560573, rs593769, and rs11218313) were associated with the AAO of AD in the male sample, while one SNP (rs17125558) was associated with the AAO of AD in the female sample (P&lt;0.05). SNP rs560573, previously associated with the risk of late-onset AD, showed the most association with the AAO in the male sample (P=0.0077 for logrank test and P=0.0117 in the Cox model). The mean AAO was approximately 2.5 years earlier in individuals who were homozygous for the minor allele compared with those who had at least one major allele. Linear regression model showed that rs2282649 and rs726601 were associated with AAO in the whole sample (P=0.0374 and 0.0367, resp.). These findings provide evidence of several genetic variants in SORL1 influencing the AAO of AD.

NRG3 gene is associated with the risk and age at onset of Alzheimer disease

The Neuregulin 3 (NRG3) gene at 10q22-q24 has been implicated in multiple psychiatric traits such as cognitive impairment. We therefore hypothesized that NRG3 gene polymorphisms may play a role in Alzheimer disease (AD). This present study explored the association of NRG3 with the age at onset (AAO) of AD and the risk of developing AD. Secondary data analysis of 257 single-nucleotide polymorphisms (SNPs) in NRG3 gene was performed in 806 Alzheimer's disease patients and 782 controls using logistic regression and linear regression analyses. Eight SNPs were associated with the risk of AD (p<0.05), while linear regression analysis showed 33 SNPs associated with the AAO of AD (p<0.05). Two-SNP haplotype analyses based on UNPHASED revealed that the G-C haplotype from rs17685233 and rs17101017 was significantly associated with AD (p=0.0031) and the A-G haplotype from rs504522 and rs474018 as well as the A-G haplotype from rs504522 and rs2483295 were more significantly associated with the AAO of AD (p=6.72×10(-5)). Using an independent family-based sample, we found one SNP rs11192423 associated with AAO both in the case-control sample (p=0.0155) and in the family sample (p=0.0166). In addition, we observed nominally significant associations with AD and AAO for several flanking SNPs (p<0.05). This is the first study demonstrating that genetic variants in the NRG3 gene play a role in AD. Our results also revealed that SNPs in the NRG3 genes were more strongly associated with AAO of AD.

Olfactory copy number association with age at onset of Alzheimer disease

Copy number variants (CNVs) have been recognized as a source of genetic variation that contributes to disease phenotypes. Alzheimer disease (AD) has high heritability for occurrence and age at onset (AAO). We performed a cases-only genome-wide CNV association study for age at onset of AD. The discovery case series (n = 40 subjects with AD) was evaluated using array comparative genome hybridization (aCGH). A replication case series (n = 507 subjects with AD) was evaluated using Affymetrix array (n = 243) and multiplex ligation-dependent probe amplification (n = 264). Hazard models related onset age to CNV. The discovery sample identified a chromosomal segment on 14q11.2 (19.3-19.5 Mb, NCBI build 36, UCSC hg18 March 2006) as a region of interest (genome-wide adjusted p = 0.032) for association with AAO of AD. This region encompasses a cluster of olfactory receptors. The replication sample confirmed the association (p = 0.035). The association was found for each APOE4 gene dosage (0, 1, and 2). High copy number in the olfactory receptor region on 14q11.2 is associated with younger age at onset of AD.