Special Issue "Understanding eQTL impact on postmortem brain gene expression in mental disorders across different populations"

A special issue of Psych (ISSN 2624-8611).

Deadline for manuscript submissions: closed (30 September 2019).

Special Issue Editor

Dr. Vladimir Vladimirov
Website
Guest Editor
1. Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA 23219-1534, USA
2. Department of Physiology and Biophysics, Center for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA
3. Lieber Institute for Brain Development, Johns Hopkins University, Baltimore, MD 21218, USA
Interests: GWAS; miRNA; eQTLs; gene expression; postmortem brain espression studies
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In the last decade, a massive and concerted effort from the research community has led to a generation of large ‘mega’ genome-wide association scans (GWAS) that have analyzed millions of genotyped and imputed single nucleotide polymorphisms (SNP) generated from hundreds of thousands of people. This, in turn, has led to the identification of robust and replicable genetic variants associated with severe neuropsychiatric phenotypes, such as schizophrenia (SZ), bipolar disorder (BP), and major depressive disorders (MDD) and, more recently, externalizing disorders related to alcohol and cannabis use. However, a major limitation of these ‘mega’-GWAS is the lack of: (1) Ethnic diversity and (2) an understanding the neuropathological mechanisms by which risk variants contribute to disease.

Thus, the goal of this Special Issue is to invite original research aiming to integrate GWAS and gene expression data generated in postmortem brain tissues from patients diagnosed with (but not limited to) SZ, BP, and MDD, and substance abuse disorders, across different populations, to better understand the neurobiological mechanisms by which risk GWAS loci contribute to disease pathology. Understanding how these loci (termed expression quantitative trait loci (eQTL)) contribute to disease neuropathology will increase our knowledge of the etiopathology of these severe mental disorders across different populations, and it may further offer novel approaches for disease treatment that is also specific to individual populations.

Dr. Vladimir Vladimirov
Guest Editor

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 papers will be 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. Psych is an international peer-reviewed open access quarterly 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 1000 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

  • Mental disorders
  • GWAS
  • Postmortem brain tissue
  • Gene expression
  • eQTL
  • Populations

Published Papers

There is no accepted submissions to this special issue at this moment.
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