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Sökning: WFRF:(Katzov Hagit)

  • Resultat 1-8 av 8
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1.
  • Blomqvist, Mia E-L, et al. (författare)
  • Towards compendia of negative genetic association studies: an example for Alzheimer disease.
  • 2006
  • Ingår i: Human genetics. - 0340-6717. ; 119:1-2, s. 29-37
  • Tidskriftsartikel (refereegranskat)abstract
    • Most genetic sequence variants that contribute to variability in complex human traits will have small effects that are not readily detectable with population samples typically used in genetic association studies. A potentially valuable tool in the gene discovery process is meta-analysis of the accumulated published data, but in order to be valid these require a sample of studies representative of the true genetic effect and thus hypothetically should include some positive and an abundance of negative reports. A survey of the literature on association studies for Alzheimer disease (AD) from January 2004-April 2005, identified 138 studies, 86 of which reported positive findings other than for apolipoprotein E (APOE), strongly indicative of publication bias. We report here an analysis of 62 genetic markers, tested for association with AD risk as well as for possible effects upon quantitative indices of AD severity (mini-mental state examination scores, age-at-onset, and cerebrospinal fluid (CSF) beta-amyloid (Abeta) and CSF tau proteins). Within this set, only modest signals were present that, with the exception of APOE are easily lost when corrections for multiple hypotheses are applied. In isolation, results are thus broadly negative. Genes studied encompass both novel candidates as well as several recently claimed to be associated with AD (e.g. urokinase plasminogen activator (PLAU) and acetyl-coenzyme A acetyltransferase 1 (ACAT1)). By reporting these data we hope to encourage the publication of gene compendia to guide further studies and aid future meta-analyses aimed at resolving the involvement of genes in complex human traits.
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2.
  • Johansson, Annica, 1969, et al. (författare)
  • Variants of CYP46A1 may interact with age and APOE to influence CSF Abeta42 levels in Alzheimer's disease.
  • 2004
  • Ingår i: Human genetics. - 0340-6717. ; 114:6, s. 581-7
  • Tidskriftsartikel (refereegranskat)abstract
    • Recent studies have suggested that variants of CYP46A1, encoding cholesterol 24-hydroxylase (CYP46), confer risk for Alzheimer's disease (AD), a prospect substantiated by evidence of genetic association from several quantitative traits related to AD pathology, including cerebrospinal fluid (CSF) levels of the 42 amino-acid cleavage product of beta-amyloid (Abeta42) and the tau protein. In the present study, these claims have been explored by the genotyping of previously associated markers in CYP46A1 in three independent northern European case-control series encompassing 1323 individuals and including approximately 400 patients with measurements of CSF Abeta42 and phospho-tau protein levels. Tests of association in case-control models revealed limited evidence that CYP46A1 variants contributed to AD risk across these samples. However, models testing for potential effects upon CSF measures suggested a possible interaction of an intronic marker (rs754203) with age and APOE genotype. In stratified analyses, significant effects were evident that were restricted to elderly APOE epsilon4 carriers for both CSF Abeta42 ( P=0.0009) and phospho-tau ( P=0.046). Computational analyses indicate that the rs754203 marker probably does not impact the binding of regulatory factors, suggesting that other polymorphic sites underlie the observed associations. Our results provide an important independent replication of previous findings, supporting the existence of CYP46A1 sequence variants that contribute to variability in beta-amyloid metabolism.
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  • Johansson, Annica, 1969, et al. (författare)
  • CYP46A1 Variants Interact with Age and APOE to Influence CSF Aβ42 and Phospho-Tau Levels in Alzheimer's Disease
  • 2004
  • Ingår i: The 9th International Conference on Alzheimer's Disease (ICAD), Philadelphia, Pennsylvania, USA, 20-25 July 2004.
  • Konferensbidrag (övrigt vetenskapligt)abstract
    • Recent studies have suggested that variants of CYP46A1, encoding cholesterol 24-hydroxylase (CYP46), confer risk to Alzheimer's disease (AD), a prospect substantiated by evidence of genetic association with several quantitative traits related to AD pathology, including cerebrospinal fluid (CSF) levels of the 42 amino-acid cleavage product of β-amyloid (Aβ42) and the tau protein. In the present study, these claims have been explored by the genotyping of previously associated markers in CYP46A1 in three independent Northern European case-control series encompassing 1323 individuals, which include approximately 400 patients with measures of CSF Aβ42 and phospho-tau protein levels. Tests of association in case-control models revealed limited evidence that CYP46A1 variants contribute to AD risk across these samples. However, models testing for potential effects upon CSF measures suggested possible interaction of an intronic marker (rs754203) with age and APOE genotype. In stratified analyses, significant effects were evident that were restricted to elderly APOE ε4 carriers for both CSF Aβ42 (P = 0.0009) and phospho-tau (P = 0.046). Computational analyses indicate that the rs754203 marker probably does not impact the binding of regulatory factors, suggesting that other polymorphic sites underlie observed associations. Results provide an important independent replication of previous findings, supporting the existence of CYP46A1 sequence variants that contribute to variability in β-amyloid metabolism.
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8.
  • Katzov, Hagit (författare)
  • Genetic association analysis of overlapping biological pathways in cardiovascular and Alzheimer disease
  • 2006
  • Doktorsavhandling (övrigt vetenskapligt)abstract
    • To gain insight into the importance of the genome for diseases, sequencing and genotyping efforts aim to identify the consequences of genetic variation on both a functional and population level. The task involves the fine-resolution mapping of biologically significant genes and regions discerned by linkage analysis. This thesis focuses on genetic variation in two candidate genes, AngiotensinConverting Enzyme (ACE) and ATP-Binding Cassette A1 (ABCA1) that are shown to potentially modify Alzheimer disease (AD) risk and related quantitative traits. AD is a disabling neurodegenerative disorder characterized by progressive memory loss that affects an increasing part of the aging population. Mutations in the Amyloid Precursor Protein (APP), Presenilin 1 (PSEN1), and Presenilin 2 (PSEN2) have been described to cause the early-onset familial form of AD. However, the discovery of genes involved in sporadic late-onset AD has proven to be more difficult. Apolipoprotein-E (APOE) which mediates lipid and cholesterol metabolism is the only presently recognized susceptibility gene for sporadic AD. The Angiotensin-Converting Enzyme modulates not only blood pressure homeostasis but also the clearance of amyloid-beta (Abeta), the pathogenic hallmark of AD, making ACE an intriguing biological candidate for both AD and cardiovascular disease. Significant effects for markers in the promoter and 3'- regions were found upon AD risk and disease age-of-onset, consistent with the presence of allelic heterogeneity in this genomic region. A unique differential relationship between genotypes for AD and obesity/ myocardial infarction was explored. The emerging pattern is consistent with the biological role of the ACE protein, but highlights the difficulties of analyzing pleiotropic genes. Computational analysis suggested functionally important promoter and splice variants that may be contributing to trait variability. ATP-Binding Cassette AI facilitates cholesterol transport and regulates APOE levels in cells. The gene lies in proximity to an AD linkage peak on chromosome 9q, making ABCA1 both a biological and positional candidate. In four independent European populations, significant differences in genotype frequencies were found between cases and controls indicated by effects on disease risk. Correlations between quantitative traits related to disease progression complemented the data. To substantiate findings, cholesterol and metabolic traits were examined in a large cardiovascular disease population whereby significant association was determined only among smokers. The data highlight the importance of considering environmental factors that can modify genotype-phenotype relationships. Applying association analysis across many traits using large replicating samples brings us closer to elucidating patterns of individual variations in genes that contribute to human diseases.
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