Title : ( Integrated analysis of the genetic basis of risky behaviors based on a graph model )
Authors: Ali Bozorgmehr , Mostafa Tavakoli ,Access to full-text not allowed by authors
Abstract
Although each genetic investigation appears to be valuable, no one study on its own can comprehensively explain the etiology of suicidal behavior. In this study, using a broad literature review, we found the suicide-associated gene co-expression interactions and reconstructed the interactive network. The reconstructed network consisted of 104 genes, including 91 previously known genes and 13 novel genes, and 354 interactions. Topological analysis showed that in total, CCK, INPP1, DDC, and NPY genes are the most fundamental hubs in the network. We found that suicide genes are. Further analysis showed that monoaminergic signal transduction, especially through GPCRs is the main deficient routes in suicide. Moreover, it turned out that genetically, suicidal behavior is more likely in patients with mood and affective disorders. In summary, multidisciplinary investigations are needed to uncover those issues that are not clearly understand in biological science.
Keywords
, Interactive network, genes, graph model.@inproceedings{paperid:1084488,
author = {علی بزرگمهر and Tavakoli, Mostafa},
title = {Integrated analysis of the genetic basis of risky behaviors based on a graph model},
booktitle = {The 51th Annual Iranian Mathematics Conference},
year = {2021},
location = {IRAN},
keywords = {Interactive network; genes; graph model.},
}
%0 Conference Proceedings
%T Integrated analysis of the genetic basis of risky behaviors based on a graph model
%A علی بزرگمهر
%A Tavakoli, Mostafa
%J The 51th Annual Iranian Mathematics Conference
%D 2021