Literature DB >> 31028758

Postmortem brain tissue as an underutilized resource to study the molecular pathology of neuropsychiatric disorders across different ethnic populations.

Eric Vornholt1, Dan Luo2, Wenying Qiu3, Gowon O McMichael4, Yangyang Liu5, Nathan Gillespie6, Chao Ma7, Vladimir I Vladimirov8.   

Abstract

In recent years, large scale meta-analysis of genome-wide association studies (GWAS) have reliably identified genetic polymorphisms associated with neuropsychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BPD) and major depressive disorder (MDD). However, the majority of disease-associated single nucleotide polymorphisms (SNPs) appear within functionally ambiguous non-coding genomic regions. Recently, increased emphasis has been placed on identifying the functional relevance of disease-associated variants via correlating risk polymorphisms with gene expression levels in etiologically relevant tissues. For neuropsychiatric disorders, the etiologically relevant tissue is brain, which requires robust postmortem sample sizes from varying genetic backgrounds. While small sample sizes are of decreasing concern, postmortem brain databases are composed almost exclusively of Caucasian samples, which significantly limits study design and result interpretation. In this review, we highlight the importance of gene expression and expression quantitative loci (eQTL) studies in clinically relevant postmortem tissue while addressing the current limitations of existing postmortem brain databases. Finally, we introduce future collaborations to develop postmortem brain databases for neuropsychiatric disorders from Chinese and Asian subpopulations. Published by Elsevier Ltd.

Entities:  

Keywords:  Ethnic diversity; GWAS; Gene expression; Neuropsychiatric disorders; Postmortem brain; eQTL

Mesh:

Year:  2019        PMID: 31028758      PMCID: PMC6643003          DOI: 10.1016/j.neubiorev.2019.04.015

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  186 in total

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Journal:  PLoS One       Date:  2016-03-16       Impact factor: 3.240

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