Mental health illnesses are on the rise, and professionals are trying to find out what causes the condition. According to Carey (2018), scientists have been exploring the genetics of brain disorders such as schizophrenia and autism among others. Understanding the biological roots of the diseases could enable scientists to develop treatments or even reveal the risk level of individuals. There were numerous gene variants that contributed to some degree of risk even no subset was found to be the best. There is an inherent disposition, but the dynamics of the individual genes that contributed to symptoms such as mania and psychosis were more intricate and a complete mystery. However, advanced tools of imaging have enabled scientists to understand the brain in a more straightforward manner. The model of the brain given is richer and incorporates genes and regulators. Specialists in bioinformatics, computer learning, cell biology, and genetics came together and analyzed nearly 2,000 human brains without any diagnosis. The scientists got a more precise picture that the brain is continuously changing and undergoing genetic transformations. The researchers could trace gene communication and activity that connected them to different brain disorders. The pattern of specific cell types and their timing of biological activity will determine some of the potential causes for brain disorders. The genetic origins of different brain disorders are diverse. Time and science will tell how this level of understanding will develop.
Notredame (2019), states that genomic technologies enable scientists to understand genetic compositions and activities while bioinformatics amounts to be acquired, stored, and analyzed. Bioinformatics and genomics often include RNA processing that could be compared to understand DNA signaling. In this case, combining expertise from different fields, including advanced computer learning, was done to establish causes of brain abnormalities. Bioinformatics is used to understand the data gathered from MRI imaging to understand whether there are genetic activities that cause or could explain brain disorders. Currently, specialists in genomics have traced specific genes ad linked them to mental conditions. Genomics studies and analyzes gene activity and communication to understand whether there is a network or connection between the genes and the disorders. Even though there has been no established cause for the diseases as it is in their objectives, the strides they made using genomic technologies is enormous. Imaging has enabled them to get a clearer picture of how the brain is and understand how various activities of genes mean and cause as a result. The capacity of genomic experts to interpret the genetic communication of cells in the body is facilitated by bioinformatics where experts gather data, sort what is to be used, and translate it into non-coded information that could be used by the genomic experts ( Notredame, 2019) . However, bioinformatics would require professionals in computer learning who would deal with the hardware would be used to program the computers and the IT infrastructure to align with what the researchers are seeking to achieve.
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Genomics seeks to study organisms in an intricate manner by understanding genetic elements and functions. In this regard, the study of genetic influence on brain disorders would have to apply genomics to understand how brain functions might cause abnormalities. On the other hand, bioinformatics is used in the efforts of the researchers when data scientists organize and analyze data from the MRIs and other imaging technologies while availing information to medical professionals for diagnosis.
References
Carey, B. (2018). Mapping the brain’s genetic landscape. New York Times. Retrieved from https://www.nytimes.com/2018/12/13/health/genetics-brain-autism-schizophrenia.html
Notredame, C. (2019). NAR Genomics and Bioinformatics: a new journal for reproducible genomics in the Big Data era.
