Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.2
2.8
Journals
Genes
Special Issues
Psychiatric Genetics and Transcriptomics
share announcement

Psychiatric Genetics and Transcriptomics

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".

Deadline for manuscript submissions: closed (20 May 2021) | Viewed by 3299

Special Issue Editors

Dr. Xenia Gonda

E-Mail Website
Guest Editor
Department of Psychiatry and Psychotherapy, Semmelweis University, 1085 Budapest, Hungary
Interests: psychiatric genetics; population genetics; personality genetics; genetics of depression
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. György Bagdy

E-Mail
Guest Editor
Department of Psychiatry and Psychotherapy, Semmelweis University, 1085 Budapest, Hungary
Interests: depression; antidepressants; pharmacology; genetics;
Dr. Gabriella Juhasz

E-Mail Website
Guest Editor
Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary
Interests: migraine; depression; psychiatric genetics; brain imaging; comorbidity
Special Issues, Collections and Topics in MDPI journals
Dr. Peter Petschner

E-Mail
Guest Editor
Department of Psychiatry and Psychotherapy, Semmelweis University, 1089 Budapest, Hungary
Interests: depression; psychiatric genetics; pharmacogenomics;

Special Issue Information

We are inviting you to submit your work to a Special Issue of Genes entitled “Psychiatric Genetics”.

This Special Issue is designed to be a collection of papers focusing on the current state and progress of psychiatric genetics, partially in contrast with the understanding of genetic and genomic underpinnings of other disorders, looking for common and distinct characteristics, and reflecting on the fact that Psychiatry as a diagnostic category is different from categories of somatic disorders.

In the case of psychiatric disorders, both research and current practice do not rely much on measurable parameters but rather on older and increasingly historical criteria, highlighting that the currently used diagnostic categories fail to align with biological systems and neural processes. This gives a special importance to Psychiatric Genetic research and promises that a much-awaited paradigm shift in the understanding and treatment of psychiatric disorders could be based on genetic research, making it possible to draw genetically based therapeutic conclusions as well.

Thus, the aim of this collection is to present state-of-the-art research from all fields of Psychiatric Genetics, focusing on illnesses, symptoms or endophenotypes, normal or pathological behaviours, pharmacogenetics, gene–gene or gene–environment interactions, epigenetics, or genomics.

Dr. Xenia Gonda
Prof. Dr. György Bagdy
Dr. Gabriella Juhasz
Dr. Peter Petschner
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Psychiatric genetics
  • Psychiatric genomics
  • Gene x environment interactions
  • Psychiatric epigenetics

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 3990 KiB  
Article
Integrated Analysis of Methylomic and Transcriptomic Data to Identify Potential Diagnostic Biomarkers for Major Depressive Disorder
by Yinping Xie, Ling Xiao, Lijuan Chen, Yage Zheng, Caixia Zhang and Gaohua Wang
Genes 2021, 12(2), 178; https://doi.org/10.3390/genes12020178 - 27 Jan 2021
Cited by 5 | Viewed by 2716
Abstract
Major depressive disorder (MDD) is a mental illness with high incidence and complex etiology, that poses a serious threat to human health and increases the socioeconomic burden. Currently, high-accuracy biomarkers for MDD diagnosis are urgently needed. This paper aims to identify novel blood-based [...] Read more.
Major depressive disorder (MDD) is a mental illness with high incidence and complex etiology, that poses a serious threat to human health and increases the socioeconomic burden. Currently, high-accuracy biomarkers for MDD diagnosis are urgently needed. This paper aims to identify novel blood-based diagnostic biomarkers for MDD. Whole blood DNA methylation data and gene expression data from the Gene Expression Omnibus database are downloaded. Then, differentially expressed/methylated genes (DEGs/DMGs) are identified. In addition, we made a systematic analysis of the DNA methylation on 5′-C-phosphate-G-3′ (CpGs) in all of the gene regions, as well as different gene regions, and then we defined a “dominant” region. Subsequently, integrated analysis is employed to identify the robust MDD-related blood biomarkers. Finally, a gene expression classifier and a methylation classifier are constructed using the random forest algorithm and the leave-one-out cross-validation method. Our results demonstrate that DEGs are mainly involved in the inflammatory response-associated pathways, while DMGs are primarily concentrated in the neurodevelopment- and neuroplasticity-associated pathways. Our integrated analysis identified 46 hypo-methylated and up-regulated (hypo-up) genes and 71 hyper-methylated and down-regulated (hyper-down) genes. One gene expression classifier and two DNA methylation classifiers, based on the CpGs in all of the regions or in the dominant regions are constructed. The gene expression classifier possessed the best predictive ability, followed by the DNA methylation classifiers, based on the CpGs in both the dominant regions and all of the regions. In summary, the integrated analysis of DNA methylation and gene expression has identified 46 hypo-up genes and 71 hyper-down genes, which could be used as diagnostic biomarkers for MDD. Full article
(This article belongs to the Special Issue Psychiatric Genetics and Transcriptomics)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop