利用蛋白質交互作用分析人類遺傳疾病基因之研究

• Main Authors: Chia-Tzu Lee, 李嘉慈
• Other Authors: Jiun-Yan Huang
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/78302083024761603605

碩士 === 中華大學 === 資訊工程學系(所) === 97 === The identification of genes responsible for specific diseases has long been one of the major tasks in the study of human genetics. Functional related genes lead to the same or similar phenotypes when they were mutated. The corresponding gene products have been shown to participate in the same cellular pathway, molecular complex, or functional module. To predict disease genes, we first applied FCOM to classify proteins into modular structures with protein-protein interaction data, the gene locus of proteins in a disease module were checked to overlap with the disease loci or not. If yes, the gene was predicted as a candidate disease gene of that disease. Our result showed that the predicting precision is over 80% in the benchmark test, while the precision for majority rule is less than 1%. In total, we had predicted 351 candidate disease genes which needed further experimental validation.