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P1‐049: Exploiting blood transcriptome for gene and pathway identification in Alzheimer's disease
Author(s) -
Allen Mariet,
Wang Xue,
Serie Daniel,
Strickland Samantha L.,
Burgess Jeremy D.,
Nguyen Thuy,
Malphrus Kimberly G.,
Lincoln Sarah,
Carrasquillo Minerva M.,
Crook Julia,
Schellenberg Gerard D.,
Knopman David S.,
Lowe Val J.,
Jack Clifford R.,
Younkin Steven G.,
Asmann Yan W.,
Petersen Ronald C.,
Taner Nilufer
Publication year - 2015
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.2015.06.245
Subject(s) - transcriptome , single nucleotide polymorphism , gene , expression quantitative trait loci , biology , gene expression profiling , gene expression , genome wide association study , genome , computational biology , disease , genetics , genotype , bioinformatics , medicine
map were normalize to MNI template space by DARTEL method and smoothed by 8.0 mm full width at half maximum Gaussian filter.We statistically analyzed correlation between CHIPS scores and GM /WM volume using VBM analysis. We also measured anatomical volume or cortical thickness using FreeSurfer. Results: MCI participants showed significantly negative correlation of CHIPS scores with gray matter volume in septal nucleus hippocampus, basal forebrain, insular cortex, pars opercularis, posterior cingulate gyrus inferior occipital cortex, and midbrain in VBM analysis. In FreeSurfer analysis, MCI participants showed also significantly negative correlation of CHIPS scores with lateral entorhinal cortex volume and thickness, right fusiform volume, right inferior temporal thickness and lateral posterior cingulate volume and thickness. On the other hand HC participants did not show any significant correlation. Conclusions:Only MCI participants showed significantly negative correlation between CHIPS scores and volumes or cortical thickness in specific anatomical regions where relate to cholinergic pathways. These results suggest that CHIPS scores reflect function of cholinergic pathways in the brain.