| Literature DB >> 31028758 |
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