Projects / Programmes source: ARIS

Molecular Genetic Study of Brain RNA in Completed Suicides

Research activity

Code Science Field Subfield
3.09.00  Medical sciences  Psychiatry   

Code Science Field
B650  Biomedical sciences  Psychiatry, clinical psychology, psychosomatics 
B680  Biomedical sciences  Public health, epidemiology 
Psychiatric genetics, suicide, genetic models, gene expression, environmental factors, RNA analysis
Evaluation (rules)
source: COBISS
Researchers (11)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  02058  Tatjana Berger  Public health (occupational safety)  Researcher  2002  245 
2.  13383  PhD Mojca Zvezdana Dernovšek  Psychiatry  Researcher  2003 - 2004  594 
3.  21039  PhD Mojca Gabrovšek  Biochemistry and molecular biology  Researcher  2003 
4.  18331  Andreja Kofol Seliger  Physics  Researcher  2003 - 2004  195 
5.  03194  PhD Alenka Kraigher  Public health (occupational safety)  Researcher  2002 - 2004  1,252 
6.  19502  MSc Mladen Markota  Public health (occupational safety)  Researcher  2002 - 2003  113 
7.  12768  PhD Andrej Marušič  Psychiatry  Head  2002 - 2004  882 
8.  24800  PhD Maja Roškar  Public health (occupational safety)  Researcher  2004  429 
9.  22821  PhD Saška Roškar  Psychiatry  Researcher  2003 - 2004  361 
10.  11867  PhD Igor Švab  Public health (occupational safety)  Researcher  2002 - 2004  1,065 
11.  11251  MSc Polonca Truden Dobrin  Public health (occupational safety)  Researcher  2002 - 2004  284 
Suicidal behaviour is not attributable to one single cause. It is the consequence of a complex interaction of several factors. A potentially promising and comprehensive method for identifying risk factors for suicide would be to consider that they are composed of genetic and environmental influences and their interactions. Indeed, factors other than environmental stressors alone, may be implicit in determining the high suicide rate in Slovenia. Such factors could include genetic predisposition. Evidence regarding a role for genetic risk factors for suicide comes from family, twin, and adoption studies relating to suicidal behaviour. More recently, several molecular genetic studies have been undertaken that suggest potential alleles associated with the risk of suicide. One of the problems that has pervaded association studies in suicidology has been that attempted replications have been on so small a scale as to have little power to confirm original positive findings. Hence, one way forward is to obtain results on a much bigger sample, which has been already started by our group on 900 suicides and 900 controls. Alternatively, one can also try to extract and analyse brain RNA in order to quantitate the expression of candidate genes associated with suicide. The latter has been proposed in the present study. This is a rather novel approach in the field of suicidology genetics. It can however provide valid results even on a smaller sample (e.g. 100 suicides and 100 controls) knowing that quantity of gene expression and not presence or absence of genes is studied.
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