Literature DB >> 10527839

Association between an alpha(2) macroglobulin DNA polymorphism and late-onset Alzheimer's disease.

V Alvarez1, R Alvarez, C H Lahoz, C Martínez, J Peña, L M Guisasola, J Salas-Puig, G Morís, D Uría, B B Menes, R Ribacoba, J A Vidal, J M Sánchez, E Coto.   

Abstract

An association between a five-base-pair deletion/insertion DNA polymorphism at the alpha(2) macroglobulin gene (A2M) and late-onset Alzheimer's disease (LOAD) has been recently described. We developed a PCR assay to analyze this polymorphism in 190 LOAD patients (older than 65 years) and 400 controls from Spain. Controls were stratified into three groups: <65 years (n = 200), 65 to 80 years (n = 100), and 81 years or older (n = 100). We found a significantly higher frequency of carriers of the D allele in patients older than 81 years compared to controls older than 81 years (p = 0.0012). In addition, the frequency of the D allele was significantly lower in controls older than 81 years compared to controls younger than 65 (p = 0.048). Our work suggests that the D allele confers an age-dependent increased risk to develop late-onset Alzheimer's disease. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10527839     DOI: 10.1006/bbrc.1999.1295

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  8 in total

Review 1.  Dancing in the dark? The status of late-onset Alzheimer's disease genetics.

Authors:  L Bertram; R E Tanzi
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Review 3.  The genetics of Alzheimer's disease.

Authors:  G D Schellenberg; I D'Souza; P Poorkaj
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Review 4.  Of replications and refutations: the status of Alzheimer's disease genetic research.

Authors:  L Bertram; R E Tanzi
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6.  Genetic studies in Alzheimer's disease.

Authors:  Ya-Ping Tang; Elliot S Gershon
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Review 7.  Alpha-2-Macroglobulin, a Hypochlorite-Regulated Chaperone and Immune System Modulator.

Authors:  Jordan H Cater; Mark R Wilson; Amy R Wyatt
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8.  Identification of Dysregulated Genes for Late-Onset Alzheimer's Disease Using Gene Expression Data in Brain.

Authors:  Nibal Arzouni; Will Matloff; Lu Zhao; Kaida Ning; Arthur W Toga
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  8 in total

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