| Summary: | 碩士 === 慈濟大學 === 醫學資訊學系碩士班 === 100 === Network-based approach can be utilized to analyze high-throughput medicare data. Previous studies of human disease networks have mainly focused on Western World medical records. We investigated the network properties of Taiwanese disease comorbidity and especially focused on mental disorders (MDs). Moreover, we constructed a multiple-level network of MDs which contained disease layer, gene layer, and phenotype layer.
We derived a disease comorbidity network (DCN) based on the association between diseases by four millions inpatients medical records to explore the architecture of Taiwanese disease network. The global network properties were explored in the context of the human interactome and were investigated by comparing general inpatient network and MD-specific inpatient network. The DCN of general inpatients showed higher modularity with the size of the largest component being smaller than expected from a randomized null-model, while MD inpatient network tend to have a higer average degree and a higher average clustering coefficient throughout the human interactome. These suggested that MDs might have different pathological mechanisms from other disorders. Furthermore, we combined OMIM database and DSM-IV-TR to build up the three-level of genes, diseases, and syndromes networks in MDs. We examined their interlinking and identified the relationship between genes and syndromes in MDs.
This study provides a comprehensive view of the network characteristics of Taiwanese DCN and pathways of MD-specific networks. We also find some novel relationship between genes and syndromes in MDs. Our findings might have important implications for the molecular mechanisms for MDs.
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