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High-throughput 2019 : Special Issue on Genome-Wide Association Studies (GWAS) in Psychiatric Illnesses

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Link: https://www.mdpi.com/journal/high-throughput/special_issues/gwas_psychiatric_illnesses
 
When N/A
Where N/A
Submission Deadline Dec 31, 2019
Notification Due Dec 31, 2019
Final Version Due Dec 31, 2019
Categories    high-throughput   GWAS   psychiatric illnesses   gene
 

Call For Papers

***All Day Open until 31th Dec 2019***


Dear Colleagues,

In the last decade, a massive and concerted effort from the research community has led to the 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 has resulted in 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 with externalizing disorders related to alcohol and cannabis use. However, one major limitation of these ‘mega’-GWAS conducted by large research groups such as the Psychiatric Genomic Consortium (PGC) is the lack of ethnic diversity; for instance the PGC cohort despite its impressive size, is virtually entirely composed of subjects with European/Caucasian ethnicity. This lack of ethnic diversity is even more pressing considering recent studies reporting significant allelic differences in the genome-wide significant polymophisms associated with schizophrenia in the PGC. As virtually none of the associated variants so far were shown to be in a linkage disequilibrium (LD) with polymorphisms with known functions, the pervasive opinion is that the associated variants (or the variants with which they are in LD) contribute to disease by modulating gene expression levels. Therefore, understanding how variants (termed expression quantitative trait loci (eQTL)) affect gene expression across different populations is equally important for our understanding of the biological mechanisms contributing to the etiology of neuropsychiatric phenotypes in a population-specific fashion.

Thus, the goal of this Special Issue is to invite research studies that are aimed at conducting GWAS on populations with different ethnic backgrounds. Identifying genetic loci associated with neuropsychiatric disorders from different ethnic groups will increase our understanding of the etiopathology of neuropsychiatric disorders in less-studied 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. High-Throughput is an international peer-reviewed open access quarterly journal published by MDPI.


Keywords

GWAS
Ethnic diversity
Psychiatric disorders
eQTLs
Gene expression


This special issue is now open for submission.

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