A computer science and engineering associate professor and her doctoral student graduate are using a genetic computer network inference model that eventually could predict whether a person will suffer from bipolar disorder, schizophrenia or another mental illness.<\/p>\n
The findings are detailed in the paper \u201cInference of SNP-Gene Regulatory Networks by Integrating Gene Expressions and Genetic Perturbations,\u201d which was recently published. The principal investigators were Jean Gao, an associate professor of computer science and engineering, and Dong-Chul Kim, who recently earned his doctorate in computer science and engineering from UT Arlington.<\/p>\n
\u201cWe looked for the differences between our genetic computer network and the brain patterns of 130 patients from the University of Illinois,\u201d Gao said. \u201cThis work could lead to earlier diagnosis in the future and treatment for those patients suffering from bipolar disorder or schizophrenia. Early diagnosis allows doctors to provide timely treatments that may speed up aid to help affected patients.\u201d<\/p>\n
The UT Arlington researchers teamed with Jiao Wang of the Beijing Genomics Institute at Wuhan, China; and Chunyu Liu, visiting associate professor at the University of Illinois Department of Psychiatry, on the project.<\/p>\n
Gao said the findings also could lead to more individualized drug therapies for those patients in the early stages of mental illnesses.<\/p>\n
\u201cOur work will allow doctors to analyse a patient\u2019s genetic pattern and apply the appropriate levels of personalized therapy based on patient-specific data,\u201d Gao said.<\/p>\n
One key to the research is designing single nucleotide polymorphism or SNP networks, researchers said.<\/p>\n
\u201cSNPs are regulators of genes,\u201d said Kim, who joins the University of Texas-Pan American this fall as an assistant professor. \u201cThose SNPs visualize how individual genes will act. It gives us more of a complete picture.\u201d\nUT Arlington<\/link>\n","protected":false},"excerpt":{"rendered":"
A computer science and engineering associate professor and her doctoral student graduate are using a genetic computer network inference model that eventually could predict whether a person will suffer from bipolar disorder, schizophrenia or another mental illness. The findings are detailed in the paper \u201cInference of SNP-Gene Regulatory Networks by Integrating Gene Expressions and Genetic […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[35],"tags":[],"_links":{"self":[{"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/posts\/1578"}],"collection":[{"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/comments?post=1578"}],"version-history":[{"count":0,"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/posts\/1578\/revisions"}],"wp:attachment":[{"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/media?parent=1578"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/categories?post=1578"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/clinlabint.com\/wp-json\/wp\/v2\/tags?post=1578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}