Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/313846
Title: Computational models for the identification and analyses of different markers for schizophrenia
Researcher: Tufchi Neema
Guide(s): Kumud Pant and Syed Mohsin Waheed,
Keywords: Genetics and Heredity
Life Sciences
Molecular Biology and Genetics
University: Graphic Era University
Completed Date: 2021
Abstract: Schizophrenia is a stern and chronic disorder, affecting the thinking and social behavior of an individual. People affected with this disorder seem like they have lost touch with reality i.e., they live in their world of hallucinations and delusions. The disorder is not as common as other psychiatric disorder, and the symptoms are very disabling. According to WHO status 2018, schizophrenia is affecting 20 million people in the world, men in their early age from 13 to 25 years, and women of age 25-35 years of age being most susceptible to develop this disease. The disorder may affect the occupational and educational behavior of an individual. People with schizophrenia are more vulnerable to die 2-3 times early as compared to the general population because of the combination of many diseases like metabolic, infectious, and cardiovascular diseases. newlineAlthough the main cause of schizophrenia is unknown yet some risk factors are thought to trigger schizophrenia that include, increased autoimmune diseases, family history, influenza infection during pregnancy, older age of the father, consumption of psychoactive drugs during teenage, pregnancy and birth complications. newlineGenetics account for 80% risk of developing schizophrenia. Studies have identified schizophrenic patients with mutations in 54 genes predicted to damage the function of protein. The mutated genes form interconnected connections with many genes involved in the pathways of brain development. newlineThe cause behind the disorder is unknown and existing treatments for the disorder do not reduce the disability. Therefore, research on the causes of the disorder and treatments that decrease disability is significantly important. There are many in-vitro and in-vivo studies regarding schizophrenia but to design and test new compounds for the treatment of disorder, models are required which have many limitations including economic, practical or ethical factors. Keeping in view these constraints, the thesis emphasized on the computational methods for finding the cause behin
Pagination: 
URI: http://hdl.handle.net/10603/313846
Appears in Departments:Deptt. of Biotechnology

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01_title.pdfAttached File213.6 kBAdobe PDFView/Open
02_ front.pdf217.54 kBAdobe PDFView/Open
03_candiate declaration.pdf467.79 kBAdobe PDFView/Open
04_ acknowledgement.pdf320.04 kBAdobe PDFView/Open
05_contents.pdf386.24 kBAdobe PDFView/Open
06_list of abbreviations.pdf265.78 kBAdobe PDFView/Open
07_list of fig and tables.pdf294.77 kBAdobe PDFView/Open
08_chapter 1.pdf639.88 kBAdobe PDFView/Open
09_chapter 2.pdf883.75 kBAdobe PDFView/Open
10_chapter 3.pdf872.89 kBAdobe PDFView/Open
11_chapter 4.pdf1.31 MBAdobe PDFView/Open
12_chapter 5.pdf995 kBAdobe PDFView/Open
13_chapter 6.pdf1.15 MBAdobe PDFView/Open
14_chapter 7.pdf553.28 kBAdobe PDFView/Open
15_chapter 8.pdf215.36 kBAdobe PDFView/Open
16_references.pdf680.23 kBAdobe PDFView/Open
80_recommendation.pdf174.43 kBAdobe PDFView/Open


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