28 research outputs found

    Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease

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    We sought to identify new susceptibility loci for Alzheimer's disease through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium (ADGC) in a companion paper. We undertook a combined analysis of four genome-wide association datasets (stage 1) and identified ten newly associated variants with P ≤ 1 × 10−5. We tested these variants for association in an independent sample (stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (stage 3). Meta-analyses of all data provided compelling evidence that ABCA7 (rs3764650, meta P = 4.5 × 10−17; including ADGC data, meta P = 5.0 × 10−21) and the MS4A gene cluster (rs610932, meta P = 1.8 × 10−14; including ADGC data, meta P = 1.2 × 10−16) are new Alzheimer's disease susceptibility loci. We also found independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance: CD2AP (GERAD+, P = 8.0 × 10−4; including ADGC data, meta P = 8.6 × 10−9), CD33 (GERAD+, P = 2.2 × 10−4; including ADGC data, meta P = 1.6 × 10−9) and EPHA1 (GERAD+, P = 3.4 × 10−4; including ADGC data, meta P = 6.0 × 10−10)

    New insights into the genetic etiology of Alzheimer's disease and related dementias

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    Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele

    Evidence that variation in the oligodendrocyte lineage transcription factor 2 (OLIG2) gene is associated with psychosis in Alzheimer's disease

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    Psychotic symptoms are common in individuals with Alzheimer's disease (AD), and define a phenotype associated with more rapid cognitive and functional decline. Evidence suggests that psychotic symptoms may be influenced by genetic factors, and recent studies in schizophrenia, bipolar affective disorder (BPAD) and Alzheimer's disease with psychosis (AD+P) suggest that psychosis susceptibility or modifier genes may act across diseases. We hypothesised that oligodendrocyte lineage transcription factor 2 (OLIG2), a regulator of white matter development and a candidate gene for schizophrenia, may also be associated with psychotic symptoms in AD. We genotyped 11 SNPs in OLIG2 previously tested for association with schizophrenia [L. Georgieva, V. Moskvina, T. Peirce, N. Norton, N.J. Bray, L. Jones, P. Holmans, S. Macgregor, S. Zammit, J. Wilkinson, H. Williams, I. Nikolov, N. Williams, D. Ivanov, K.L. Davis, V. Haroutunian, J.D. Buxbaum, N. Craddock, G. Kirov, M.J. Owen, M.C. O'Donovan, Convergent evidence that oligodendrocyte lineage transcription factor 2 (OLIG2) and interacting genes influence susceptibility to schizophrenia, Proc. Natl. Acad. Sci. U.S.A. 103 (33) (2006) 12469-12474] and tested these for association with AD and AD+P. Significant evidence for association of psychotic symptoms within cases was identified for two SNPs, rs762237 (allelic P=0.002, OR=1.42, corrected P=0.019) and rs2834072 (allelic P=0.004, OR=1.41, corrected P=0.05)

    Four components describe behavioral symptoms in 1,120 individuals with late-onset Alzheimer's disease

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    OBJECTIVES: To investigate behavioral components of Alzheimer's disease (AD) and to analyze behavioral components in relation to disease severity, apolipoprotein E genotype (APOE), sex, years of education, age at onset, and cognitive impairment. DESIGN: Cross-sectional study. SETTING: Data were collected from community-dwelling individuals and those residing in nursing homes. PARTICIPANTS: A total of 1,120 individuals meeting National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer's Disease and Related Disorders Association criteria for late-onset probable AD. MEASUREMENTS: Behavioral symptoms were assessed using the Neuropsychiatric Inventory. First-order polychoric correlations, controlling for disease severity, between the 12 symptom domain scores were estimated, and the resulting matrix underwent principal components analysis. RESULTS: Four interpretable components were identified: behavioral dyscontrol (euphoria, disinhibition, aberrant motor behavior, and sleep and appetite disturbances), psychosis (delusions and hallucinations), mood (depression, anxiety, and apathy), and agitation (aggression and irritability). Scores on the four components were associated with severity of cognitive impairment. Higher behavioral dysfunction, agitation, and mood component scores were associated with lower age at onset. Behavioral dysfunction and mood component scores were associated with sex. None of the components were associated with age at assessment, years of education, or number of APOE epsilon4 alleles. CONCLUSION: Four behavioral components were identified that were comparable with those observed previously. Future analysis of these components will strengthen understanding of the underlying pathology of behavioral symptoms and AD

    Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease.

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    We undertook a two-stage genome-wide association study (GWAS) of Alzheimer's disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 x 10(-157)) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 x 10(-9)) and 5' to the PICALM gene (rs3851179, P = 1.9 x 10(-8)). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimer's disease in the combined dataset (rs11136000, P = 8.5 x 10(-10), odds ratio = 0.86; rs3851179, P = 1.3 x 10(-9), odds ratio = 0.86)

    Education, occupation and retirement age effects on the age of onset of Alzheimer's disease

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    Objective To determine the effects of early life education, mid life employment and later life retirement age on the age of onset (AOO) of Alzheimer's disease (AD). Methods Multiple regression analyses were carried out using data for 1320 probable AD cases, of which 382 were males with employment and retirement age data, using informant based information on education and employment. Results No relation was found between years of education, best qualification obtained, or employment variables in males and the AOO of AD. A significant effect of later retirement age in delaying the AOO of AD was seen in males. Conclusions In this study no effect of education or employment was seen, although this may be due to limited variance in the study population. The significant effect of retirement age may have several explanations, the most interesting of which would be the suggestion that active employment later in life allows an individual to prolong their cognitive assets above the threshold for dementia

    Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease:A Mendelian Randomization Analysis

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