Genetics Factors in Major Depression Disease

• Published in: Frontiers in psychiatry Vol. 9; p. 334
• Main Authors: Shadrina, Maria, Bondarenko, Elena A, Slominsky, Petr A
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 23-07-2018
• Subjects: brain-derived neurotrophic factor; candidate genes; cytokines; depressive disorder; GWAS; hypothalamus-pituitary-adrenal axis; Psychiatry; hypothalamus-pituitary-adrenal axis; epigenome; GWAS; candidate genes; depressive disorder; cytokines; brain-derived neurotrophic factor
• ISSN: 1664-0640; 1664-0640
• DOI: 10.3389/fpsyt.2018.00334

Depressive disorders (DDs) are one of the most widespread forms of psychiatric pathology. According to the World Health Organization, about 350 million people in the world are affected by this condition. Family and twin studies have demonstrated that the contribution of genetic factors to the risk of the onset of DDs is quite large. Various methodological approaches (analysis of candidate genes, genome-wide association analysis, genome-wide sequencing) have been used, and a large number of the associations between genes and different clinical DD variants and DD subphenotypes have been published. However, in most cases, these associations have not been confirmed in replication studies, and only a small number of genes have been proven to be associated with DD development risk. To ascertain the role of genetic factors in DD pathogenesis, further investigations of the relevant conditions are required. Special consideration should be given to the polygenic characteristics noted in whole-genome studies of the heritability of the disorder without a pronounced effect of the major gene. These observations accentuate the relevance of the analysis of gene-interaction roles in DD development and progression. It is important that association studies of the inherited variants of the genome should be supported by analysis of dynamic changes during DD progression. Epigenetic changes that cause modifications of a gene's functional state without changing its coding sequence are of primary interest. However, the opportunities for studying changes in the epigenome, transcriptome, and proteome during DD are limited by the nature of the disease and the need for brain tissue analysis, which is possible only
. Therefore, any association studies between DD pathogenesis and epigenetic factors must be supplemented through the use of different animal models of depression. A threefold approach comprising the combination of gene association studies, assessment of the epigenetic state in DD patients, and analysis of different "omic" changes in animal depression models will make it possible to evaluate the contribution of genetic, epigenetic, and environmental factors to the development of different forms of depression and to help develop ways to decrease the risk of depression and improve the treatment of DD.