2010
DOI: 10.1001/archneurol.2010.179
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Diagnosis-Independent Alzheimer Disease Biomarker Signature in Cognitively Normal Elderly People

Abstract: To identify biomarker patterns typical for Alzheimer disease (AD) in an independent, unsupervised way, without using information on the clinical diagnosis.

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Cited by 461 publications

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“…External validation of the APOEε4 effect on CSF Aβ42/P-tau distribution was carried out in the independent dataset of ADNI, confirming the better fit of the model with 3 compared to the 2 components. Our findings are consistent with a previous study using mixture model on CSF Aβ42/P-tau ratio from the ADNI cohort (De Meyer et al, 2010) and showing the same robustness for the models with 2 and 3 components (AIC= 4138 and 4139, respectively). The uncertain definition of the intermediate subgroup in the unadjusted model of the above mentioned study is probably due to the higher number of normal subjects in the derivation cohort (114 rather than 76 as here) given that the APOEε4 effect on P-tau occurred in MCI but not in normal subjects (Risacher et al, 2013;Sunderland et al, 2004;Vemuri et al, 2010).…”
Section: Discussion
supporting
confidence: 92%