2014
DOI: 10.1016/j.neurobiolaging.2013.07.027
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Association of cerebrospinal fluid Aβ42 with A2M gene in cognitively normal subjects

Abstract: Low cerebrospinal fluid (CSF) Aβ42 levels correlate with increased brain Aβ deposition in Alzheimer’s disease (AD), which suggests a disruption in the degradation and clearance of Aβ from the brain. In addition, APOE ε4 carriers have lower CSF Aβ42 levels than non-carriers. The hypothesis of this investigation was that CSF Aβ42 levels correlate with regulatory region variation in genes that are biologically associated with degradation or clearance of Aβ from the brain. CSF Aβ42 levels were tested for associati… Show more

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Cited by 6 publications
(5 citation statements)
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References 64 publications
(82 reference statements)
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“…As expected, the percentage of patients with MCI and AD increased among patients with either 1 or 2 APOE4 alleles. Consistent with prior work [35, 36], increasing APOE4 copy number was associated with lower CSF Aβ levels. Increasing APOE4 copy number was also associated with increases in CSF tau and p-tau levels (Table 1).…”
Section: Resultssupporting
confidence: 90%
“…As expected, the percentage of patients with MCI and AD increased among patients with either 1 or 2 APOE4 alleles. Consistent with prior work [35, 36], increasing APOE4 copy number was associated with lower CSF Aβ levels. Increasing APOE4 copy number was also associated with increases in CSF tau and p-tau levels (Table 1).…”
Section: Resultssupporting
confidence: 90%
“…As expected, the percentage of patients with MCI and AD increased among patients with either 1 or 2 APOE4 alleles. Consistent with prior work [ 35, 36 ], increasing APOE4 copy number was associated with lower CSF Aβ levels. Increasing APOE4 copy number was also associated with increases in CSF tau and p-tau levels ( Table 1 ).…”
Section: Resultssupporting
confidence: 90%
“…The first, one limitation of using a meta-analytic approach for population-based observational studies is that these studies yield only estimates of associations that are influenced by confounding factors such as sex, age or ethnic admixture, either between studies or between cases and controls within each study [7]. For example, five studies [17,24,34,44,69] in current meta-analysis mixed other races in the Caucasian population (Table 1), however, removing these studies in all analyses did not alter the total results. In addition, the clinical characteristics of individual studies may also be a confounding factor.…”
Section: Limitations Of This Meta-analysismentioning
confidence: 99%