Syeeda Farah, M. Sushma, T. Asha, B. Cauvery, K.S. Shivanand
{"title":"基于DNA的疾病预测途径分析","authors":"Syeeda Farah, M. Sushma, T. Asha, B. Cauvery, K.S. Shivanand","doi":"10.1109/IACC.2017.0133","DOIUrl":null,"url":null,"abstract":"Most diseases are not triggered by a single genome but by a combination of genomes together. Sequences occurring more frequently in the diseased samples than in the healthy samples indicate the generic factors of the disease. DNA has become an extremely useful tool for predicting disease. By allowing medical professionals to identify genes in DNA that are markers for diseases, a person can make appropriate lifestyle or similar modifications to help lower the risk of disease. We propose a system in which the above knowledge is provided by determining the probabilistic levels of a disease occurring if the causal gene or the associated genes are mutated.","PeriodicalId":248433,"journal":{"name":"2017 IEEE 7th International Advance Computing Conference (IACC)","volume":"77 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DNA Based Disease Prediction Using Pathway Analysis\",\"authors\":\"Syeeda Farah, M. Sushma, T. Asha, B. Cauvery, K.S. Shivanand\",\"doi\":\"10.1109/IACC.2017.0133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most diseases are not triggered by a single genome but by a combination of genomes together. Sequences occurring more frequently in the diseased samples than in the healthy samples indicate the generic factors of the disease. DNA has become an extremely useful tool for predicting disease. By allowing medical professionals to identify genes in DNA that are markers for diseases, a person can make appropriate lifestyle or similar modifications to help lower the risk of disease. We propose a system in which the above knowledge is provided by determining the probabilistic levels of a disease occurring if the causal gene or the associated genes are mutated.\",\"PeriodicalId\":248433,\"journal\":{\"name\":\"2017 IEEE 7th International Advance Computing Conference (IACC)\",\"volume\":\"77 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 7th International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACC.2017.0133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 7th International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACC.2017.0133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DNA Based Disease Prediction Using Pathway Analysis
Most diseases are not triggered by a single genome but by a combination of genomes together. Sequences occurring more frequently in the diseased samples than in the healthy samples indicate the generic factors of the disease. DNA has become an extremely useful tool for predicting disease. By allowing medical professionals to identify genes in DNA that are markers for diseases, a person can make appropriate lifestyle or similar modifications to help lower the risk of disease. We propose a system in which the above knowledge is provided by determining the probabilistic levels of a disease occurring if the causal gene or the associated genes are mutated.
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