Purpose/Significance To build a multi-omics data fusion and mining framework, and to conduct research on drug repositioning for diseases, so as to provide a basis for drug development. Method/Process Genetic variations, metabolites, proteins and epigenetic changes related to diseases are retrieved and extracted from multi-omics databases. After fusion, mining and processing, disease-related proteins are obtained. A protein interaction network is constructed and analyzed. The target priority is calculated using a weighted sum model, and drugs are selected based on the preferred target proteins. Taking Alzheimer’s disease (AD) as an example, potential anti-AD drugs are predicted. Result/Conclusion A multi-omics data fusion and mining framework is constructed. Through an empirical research, a total of 556 AD-related proteins are obtained, and two anti-AD target proteins and their related drugs are screened out.