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P2‐089: Dynamic biomarker model in Alzheimer's disease: Testing the sigmoid hypothesis using ADNI Data
Author(s) -
Abderazzak Mouiha
Publication year - 2011
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2011.05.979
Subject(s) - alzheimer's disease neuroimaging initiative , biomarker , neuroimaging , medicine , neurology , magnetic resonance imaging , positron emission tomography , dementia , disease , oncology , psychology , nuclear medicine , radiology , psychiatry , biology , biochemistry
multiplex biomarker data and clinical diagnosis was available. Results: Many genetic variants were significantly (p< 5.00E-05) associated with expression levels of the set of 23 serum proteins most diagnostic of Alzheimer’s disease status in both cohorts. Together with genotype data for known genetic risk factors for AD we have performed structural equation modeling to elucidate how many of these factors interact. Conclusions: Genetic variation appears to influence the expression of proteins that are most diagnostic for Alzheimer’s disease. The congruence of DNA and protein data increases our confidence in the strength of Alzheimer’s endophenotypes that were identified by one of these methods alone.