P2‐089: Dynamic biomarker model in Alzheimer's disease: Testing the sigmoid hypothesis using ADNI Data | Zendy

Abderazzak Mouiha | Zendy

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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 , neuroimaging , biomarker , neurology , medicine , positron emission tomography , magnetic resonance imaging , dementia , oncology , disease , 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.

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