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Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue

Schizophrenia and the affective disorders, here comprising bipolar disorder and major depressive disorder, are psychiatric illnesses that lead to significant morbidity and mortality worldwide. Whilst understanding of their pathobiology remains limited, large case-control studies have recently identi...

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Autores principales: Bhalala, Oneil G., Nath, Artika P., Inouye, Michael, Sibley, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126875/
https://www.ncbi.nlm.nih.gov/pubmed/30142156
http://dx.doi.org/10.1371/journal.pgen.1007607
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author Bhalala, Oneil G.
Nath, Artika P.
Inouye, Michael
Sibley, Christopher R.
author_facet Bhalala, Oneil G.
Nath, Artika P.
Inouye, Michael
Sibley, Christopher R.
author_sort Bhalala, Oneil G.
collection PubMed
description Schizophrenia and the affective disorders, here comprising bipolar disorder and major depressive disorder, are psychiatric illnesses that lead to significant morbidity and mortality worldwide. Whilst understanding of their pathobiology remains limited, large case-control studies have recently identified single nucleotide polymorphisms (SNPs) associated with these disorders. However, discerning the functional effects of these SNPs has been difficult as the associated causal genes are unknown. Here we evaluated whether schizophrenia and affective disorder associated-SNPs are correlated with gene expression within human brain tissue. Specifically, to identify expression quantitative trait loci (eQTLs), we leveraged disorder-associated SNPs identified from 11 genome-wide association studies with gene expression levels in post-mortem, neurologically-normal tissue from two independent human brain tissue expression datasets (UK Brain Expression Consortium (UKBEC) and Genotype-Tissue Expression (GTEx)). Utilizing stringent multi-region meta-analyses, we identified 2,224 cis-eQTLs associated with expression of 40 genes, including 11 non-coding RNAs. One cis-eQTL, rs16969968, results in a functionally disruptive missense mutation in CHRNA5, a schizophrenia-implicated gene. Importantly, comparing across tissues, we find that blood eQTLs capture < 10% of brain cis-eQTLs. Contrastingly, > 30% of brain-associated eQTLs are significant in tibial nerve. This study identifies putatively causal genes whose expression in region-specific tissue may contribute to the risk of schizophrenia and affective disorders.
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spelling pubmed-61268752018-09-17 Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue Bhalala, Oneil G. Nath, Artika P. Inouye, Michael Sibley, Christopher R. PLoS Genet Research Article Schizophrenia and the affective disorders, here comprising bipolar disorder and major depressive disorder, are psychiatric illnesses that lead to significant morbidity and mortality worldwide. Whilst understanding of their pathobiology remains limited, large case-control studies have recently identified single nucleotide polymorphisms (SNPs) associated with these disorders. However, discerning the functional effects of these SNPs has been difficult as the associated causal genes are unknown. Here we evaluated whether schizophrenia and affective disorder associated-SNPs are correlated with gene expression within human brain tissue. Specifically, to identify expression quantitative trait loci (eQTLs), we leveraged disorder-associated SNPs identified from 11 genome-wide association studies with gene expression levels in post-mortem, neurologically-normal tissue from two independent human brain tissue expression datasets (UK Brain Expression Consortium (UKBEC) and Genotype-Tissue Expression (GTEx)). Utilizing stringent multi-region meta-analyses, we identified 2,224 cis-eQTLs associated with expression of 40 genes, including 11 non-coding RNAs. One cis-eQTL, rs16969968, results in a functionally disruptive missense mutation in CHRNA5, a schizophrenia-implicated gene. Importantly, comparing across tissues, we find that blood eQTLs capture < 10% of brain cis-eQTLs. Contrastingly, > 30% of brain-associated eQTLs are significant in tibial nerve. This study identifies putatively causal genes whose expression in region-specific tissue may contribute to the risk of schizophrenia and affective disorders. Public Library of Science 2018-08-24 /pmc/articles/PMC6126875/ /pubmed/30142156 http://dx.doi.org/10.1371/journal.pgen.1007607 Text en © 2018 Bhalala et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bhalala, Oneil G.
Nath, Artika P.
Inouye, Michael
Sibley, Christopher R.
Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
title Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
title_full Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
title_fullStr Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
title_full_unstemmed Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
title_short Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
title_sort identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126875/
https://www.ncbi.nlm.nih.gov/pubmed/30142156
http://dx.doi.org/10.1371/journal.pgen.1007607
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