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Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex

BACKGROUND: Circular RNAs (circRNAs) are implicated in various biological processes. As a layer of the gene regulatory network, circRNA expression is also an intermediate phenotype bridging genetic variation and phenotypic changes. Thus, analyzing circRNA expression variation will shed light on mole...

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Autores principales: Liu, Zelin, Ran, Yuan, Tao, Changyu, Li, Sichen, Chen, Jian, Yang, Ence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528256/
https://www.ncbi.nlm.nih.gov/pubmed/31109370
http://dx.doi.org/10.1186/s13059-019-1701-8
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author Liu, Zelin
Ran, Yuan
Tao, Changyu
Li, Sichen
Chen, Jian
Yang, Ence
author_facet Liu, Zelin
Ran, Yuan
Tao, Changyu
Li, Sichen
Chen, Jian
Yang, Ence
author_sort Liu, Zelin
collection PubMed
description BACKGROUND: Circular RNAs (circRNAs) are implicated in various biological processes. As a layer of the gene regulatory network, circRNA expression is also an intermediate phenotype bridging genetic variation and phenotypic changes. Thus, analyzing circRNA expression variation will shed light on molecular fundamentals of complex traits and diseases. RESULTS: We systematically characterize 10,559 high-quality circRNAs in 589 human dorsolateral prefrontal cortex samples. We identify biological and technical factors contributing to expression heterogeneity associated with the expression levels of many circRNAs, including the well-known circRNA CDR1as. Combining the expression levels of circRNAs with genetic cis-acting SNPs, we detect 196,255 circRNA quantitative trait loci (circQTLs). By characterizing circQTL SNPs, we find that partial circQTL SNPs might influence circRNA formation by altering the canonical splicing site or the reverse complementary sequence match. Additionally, we find that a subset of these circQTL SNPs is highly linked to genome-wide association study signals of complex diseases, especially schizophrenia, inflammatory bowel disease, and type II diabetes mellitus. CONCLUSIONS: Our results reveal technical, biological, and genetic factors affecting circRNA expression variation among individuals, which lead to further understanding of circRNA regulation and thus of the genetic architecture of complex traits or diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1701-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-65282562019-05-28 Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex Liu, Zelin Ran, Yuan Tao, Changyu Li, Sichen Chen, Jian Yang, Ence Genome Biol Research BACKGROUND: Circular RNAs (circRNAs) are implicated in various biological processes. As a layer of the gene regulatory network, circRNA expression is also an intermediate phenotype bridging genetic variation and phenotypic changes. Thus, analyzing circRNA expression variation will shed light on molecular fundamentals of complex traits and diseases. RESULTS: We systematically characterize 10,559 high-quality circRNAs in 589 human dorsolateral prefrontal cortex samples. We identify biological and technical factors contributing to expression heterogeneity associated with the expression levels of many circRNAs, including the well-known circRNA CDR1as. Combining the expression levels of circRNAs with genetic cis-acting SNPs, we detect 196,255 circRNA quantitative trait loci (circQTLs). By characterizing circQTL SNPs, we find that partial circQTL SNPs might influence circRNA formation by altering the canonical splicing site or the reverse complementary sequence match. Additionally, we find that a subset of these circQTL SNPs is highly linked to genome-wide association study signals of complex diseases, especially schizophrenia, inflammatory bowel disease, and type II diabetes mellitus. CONCLUSIONS: Our results reveal technical, biological, and genetic factors affecting circRNA expression variation among individuals, which lead to further understanding of circRNA regulation and thus of the genetic architecture of complex traits or diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1701-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-20 /pmc/articles/PMC6528256/ /pubmed/31109370 http://dx.doi.org/10.1186/s13059-019-1701-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Liu, Zelin
Ran, Yuan
Tao, Changyu
Li, Sichen
Chen, Jian
Yang, Ence
Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
title Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
title_full Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
title_fullStr Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
title_full_unstemmed Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
title_short Detection of circular RNA expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
title_sort detection of circular rna expression and related quantitative trait loci in the human dorsolateral prefrontal cortex
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528256/
https://www.ncbi.nlm.nih.gov/pubmed/31109370
http://dx.doi.org/10.1186/s13059-019-1701-8
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