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Fig. 4 | Molecular Neurodegeneration

Fig. 4

From: Dissecting the role of non-coding RNAs in the accumulation of amyloid and tau neuropathologies in Alzheimer’s disease

Fig. 4

Network of lincRNAs associated with phenotypes. a The relationships between lincRNA expression and various demographic and technical features as well as neuropathologic outcomes are displayed in a network diagram. All lincRNA with a significant (p < 0.00016) or suggestive (p < 0.05) association are included in the network. These relationships were extracted via feature selection from linear models which explain an lincRNA’s expression level by using age at death (Age), neuronal composition (NNLS), sex, study of origin (Study, ROS or MAP), post-mortem interval (PMI), RNA integrity number (RIN), neuritic amyloid plaques (NP), neurofibrillary tangles (NFT) and pathological AD diagnosis (AD). Each node in the diagram represents a lincRNA (small circles) or a demographic or a neuropathologic variable (large circles). The significantly associated lincRNA (Table 1) are represented by rectangles. A red edge represents a positive association between the lincRNA and trait; a blue edge denotes an inverse association. As most of the lincRNAs are associated with RIN, the associations with RIN were removed from this figure for clarity. b The association of linc-CTSD-3 expression with each variable is plotted after fitting a model including all variables. The standardized effect size of each of these explanatory variables and 95% confidence intervals are shown. This illustrates the fact that non-coding RNAs significantly associated with AD pathology can be strongly influenced by confounding variables, but that these effects are independent

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