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ORIGINAL ARTICLE
Year : 2014  |  Volume : 36  |  Issue : 4  |  Page : 366-367  

Physiological genomics analysis for mania: Supportive evidence for epigenetics concept


Joseph Ayobabalola University, Nigeria

Date of Web Publication15-Sep-2014

Correspondence Address:
Prof. Viroj Wiwanitkit
Wiwanitkit House, Bangkhae, Bangkok, Thailand

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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0253-7176.140700

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   Abstract 

Background: Mania is an important psychological problem. This disorder can be detected anywhere in the world. This psychological disorder becomes an important concern in modern psychological medicine. Aims: There are some researches on the pathogenesis of this disease; however, there is no clear-cut on its etiopathogenesis. The big query is on the genetic underlying of the mania. Materials and Methods: Here, the author uses the physiological genomics study to better understand the pathogenesis of mania. Results: According to this work, the physiogenomics relationship on chromosomes could not be identified. Conclusion: The result from this study shows that mania might not have a genetic, but epigenic origin, which is different from the well-known disorder in psychological medicine, Alzheimer's disease.

Keywords: Mania, physiogenomics, relationship


How to cite this article:
Wiwanitkit V. Physiological genomics analysis for mania: Supportive evidence for epigenetics concept. Indian J Psychol Med 2014;36:366-7

How to cite this URL:
Wiwanitkit V. Physiological genomics analysis for mania: Supportive evidence for epigenetics concept. Indian J Psychol Med [serial online] 2014 [cited 2019 Nov 18];36:366-7. Available from: http://www.ijpm.info/text.asp?2014/36/4/366/140700


   Introduction Top


Bioinformatics can help manipulate the data derived from Human Genome project and it can be useful for studying of etiopathology of disease in medicine. [1] Physiological genomics is the new technique that cab be useful in tracing of function to gene for finding the relationship in pathophysiology aspect. [2] This can also be helpful in psychological medicine.

Mania is an important psychological problem. [3] This disorder can be detected anywhere in the world. This psychological disorder becomes an important concern in modern psychological medicine. There are some researches on the pathogenesis of this disease; however, there is no clear-cut on its etiopathogenesis. [3] The big query is on the genetic underlying of the mania. Here, the author uses the physiological genomics study to better understand the pathogenesis of mania.


   Materials and Methods Top


This work used a simulation-based physiogenomics analysis by consomics technique. [4] The protocol used in this work is similar to the previous reports using the main physiogenomics tool, PhysGen. Conceptually, the test for relevancy or relationship between function and gene was carried out using the computational physiogenomics tool. The basic strategy, Targeting Induced Local Lesions in Genomes assay that helps detect allelic series of induced point mutations in genes of interest was mainly used. [4],[5] In this work, the primary template was human genome similar to previous referencing studies. [6],[7],[8] The input ontology term is "Mania" gene in range v 2.02 with length 1 Mbp was applied and the outputs are gene with specific physiogenomics score (degree of correlation, significant if this score is more than 1). All steps in this work followed the previously published referencing reports [6],[7],[8] (see the previous published papers for more details).


   Result Top


According to this work, the physiogenomics relationship on chromosomes could not be identified.


   Discussion Top


Although mania is a well-known psychological disorder, its exact etiopathogenesis has never been clearly mentioned. [9] The genetic contribution is widely discussed for the possibility; [9] however, there has never been previous physiogenomics clarification. It is still a big question in psychological medicine that mania has its genetic root or not. Analysis of gene expression in mania with special focus on physiogenomics can help answer this problem.

Here, the author used the physiogenomis approach to study mania and no phusiogenomics relationship can be identified. In fact, there are few reports on genetic underlying of mania. The potential that CACNA1C might be a genetic risk factor for mania has been recently published. [10] However, based on the present work, no evidence of physiogenomics relationship can be identified. Therefore, the emerging concept of epigenetics root of mania should be considered. [11] The recent molecular psychiatry report by Kaminsky et al. can be the good supportive evidence for this claim. [12] In that work, "epigenetic differences at HCG9" was found. [12]

The result from this study shows that mania might not have a genetic but epigenic origin, which is different from the well-known disorder in psychological medicine, Alzheimer's disease. [8]

 
   References Top

1.Schlesinger LB. Physiognomic perception: Empirical and theoretical perspectives. Genet Psychol Monogr 1980;101:71-97.  Back to cited text no. 1
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2.Cowley AW Jr, Roman RJ, Jacob HJ. Application of chromosomal substitution techniques in gene-function discovery. J Physiol 2004;554:46-55.  Back to cited text no. 2
    
3.Papolos DF, Bronsteen A. Bipolar disorder in children: Assessment in general pediatric practice. Curr Opin Pediatr 2013;25:419-26.  Back to cited text no. 3
    
4.Cowley AW Jr, Liang M, Roman RJ, Greene AS, Jacob HJ. Consomic rat model systems for physiological genomics. Acta Physiol Scand 2004;181:585-92.  Back to cited text no. 4
    
5.Malek RL, Wang HY, Kwitek AE, Greene AS, Bhagabati N, Borchardt G, et al. Physiogenomic resources for rat models of heart, lung and blood disorders. Nat Genet 2006;38:234-9.  Back to cited text no. 5
    
6.Wiwanitkit V. Physiological genomics analysis for central diabetes insipidus. Acta Neurol Taiwan 2008;17:214-6.  Back to cited text no. 6
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7.Wiwanitkit V. Difference in physiogenomics between male and female infertility. Andrologia 2008;40:158-60.  Back to cited text no. 7
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8.Wiwanitkit V. Physiological genomics analysis for Alzheimer's disease. Ann Indian Acad Neurol 2013;16:72-4.  Back to cited text no. 8
[PUBMED]  Medknow Journal  
9.Van Rheenen TE, Rossell SL. Genetic and neurocognitive foundations of emotion abnormalities in bipolar disorder. Cogn Neuropsychiatry 2013;18:168-207.  Back to cited text no. 9
    
10.Zhang X, Zhang C, Wu Z, Wang Z, Peng D, Chen J, et al. Association of genetic variation in CACNA1C with bipolar disorder in Han Chinese. J Affect Disord 2013;150:261-5.  Back to cited text no. 10
    
11.Labrie V, Pai S, Petronis A. Epigenetics of major psychosis: Progress, problems and perspectives. Trends Genet 2012;28:427-35.  Back to cited text no. 11
    
12.Kaminsky Z, Tochigi M, Jia P, Pal M, Mill J, Kwan A, et al. A multi-tissue analysis identifies HLA complex group 9 gene methylation differences in bipolar disorder. Mol Psychiatry 2012;17:728-40.  Back to cited text no. 12
    




 

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