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Fig. 1 | Alzheimer's Research & Therapy

Fig. 1

From: Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

Fig. 1

Construction workflow of our prognosis prediction model. We generated data sets of pre-selected SNPs based on the P values from logistic regression models. Two thirds of the entire discovery cohort was used to calculate the P values in each cross-validation step (1). Using the top-ranked SNPs, we focused on SNP-miRNA pairs with eQTL effects (miR-eQTLs) (2). Using a combination of miR-eQTLs and clinical factors, we constructed a prognosis prediction model based on a Cox proportional hazard model using two thirds of the discovery cohort. The adjusted model was then evaluated using the remaining one third (3). On the basis of the average C-index from the 3-fold cross-validation, we determined the optimal pre-selected SNPs for model construction (4). The final model was constructed using the entire discovery cohort (5), and the adjusted model was evaluated in the independent validation cohort (6)

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Alzheimer's Research & Therapy

ISSN: 1758-9193