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Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies

BACKGROUND: Understanding gene regulation is important but difficult. Elucidating tissue-specific gene regulation mechanism is even more challenging and requires gene co-expression network assembled from protein–protein interaction, transcription factor and gene binding, and post-transcriptional reg...

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Autores principales: Li, Binze, Dong, Julian, Yu, Jiaqi, Fan, Yuqi, Shang, Lulu, Zhou, Xiang, Bai, Yongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771066/
https://www.ncbi.nlm.nih.gov/pubmed/33371893
http://dx.doi.org/10.1186/s12920-020-00830-w
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author Li, Binze
Dong, Julian
Yu, Jiaqi
Fan, Yuqi
Shang, Lulu
Zhou, Xiang
Bai, Yongsheng
author_facet Li, Binze
Dong, Julian
Yu, Jiaqi
Fan, Yuqi
Shang, Lulu
Zhou, Xiang
Bai, Yongsheng
author_sort Li, Binze
collection PubMed
description BACKGROUND: Understanding gene regulation is important but difficult. Elucidating tissue-specific gene regulation mechanism is even more challenging and requires gene co-expression network assembled from protein–protein interaction, transcription factor and gene binding, and post-transcriptional regulation (e.g., miRNA targeting) information. The miRNA binding affinity could therefore be changed by SNP(s) located at the 3′ untranslated regions (3′UTR) of the target messenger RNA (mRNA) which miRNA(s) interacts with. Genome-wide association study (GWAS) has reported significant numbers of loci hosting SNPs associated with many traits. The goal of this study is to pinpoint GWAS functional variants located in 3′UTRs and elucidate if the genes harboring these variants along with their targeting miRNAs are associated with genetic traits relevant to certain tissues. METHODS: By applying MIGWAS, CoCoNet, ANNOVAR, and DAVID bioinformatics software and utilizing the gene expression database (e.g. GTEx data) to study GWAS summary statistics for 43 traits from 28 GWAS studies, we have identified a list of miRNAs and targeted genes harboring 3′UTR variants, which could contribute to trait-relevant tissue over miRNA-target gene network. RESULTS: Our result demonstrated that strong association between traits and tissues exists, and in particular, the Primary Biliary Cirrhosis (PBC) trait has the most significant p-value for all 180 tissues among all 43 traits used for this study. We reported SNPs located in 3′UTR regions of genes (SFMBT2, ZC3HAV1, and UGT3A1) targeted by miRNAs for PBC trait and its tissue association network. After employing Gene Ontology (GO) analysis for PBC trait, we have also identified a very important miRNA targeted gene over miRNA-target gene network, PFKL, which encodes the liver subunit of an enzyme. CONCLUSIONS: The non-coding variants identified from GWAS studies are casually assumed to be not critical to translated protein product. However, 3′ untranslated regions (3′UTRs) of genes harbor variants can often change the binding affinity of targeting miRNAs playing important roles in protein translation degree. Our study has shown that GWAS variants could play important roles on miRNA-target gene networks by contributing the association between traits and tissues. Our analysis expands our knowledge on trait-relevant tissue network and paves way for future human disease studies.
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spelling pubmed-77710662020-12-30 Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies Li, Binze Dong, Julian Yu, Jiaqi Fan, Yuqi Shang, Lulu Zhou, Xiang Bai, Yongsheng BMC Med Genomics Research BACKGROUND: Understanding gene regulation is important but difficult. Elucidating tissue-specific gene regulation mechanism is even more challenging and requires gene co-expression network assembled from protein–protein interaction, transcription factor and gene binding, and post-transcriptional regulation (e.g., miRNA targeting) information. The miRNA binding affinity could therefore be changed by SNP(s) located at the 3′ untranslated regions (3′UTR) of the target messenger RNA (mRNA) which miRNA(s) interacts with. Genome-wide association study (GWAS) has reported significant numbers of loci hosting SNPs associated with many traits. The goal of this study is to pinpoint GWAS functional variants located in 3′UTRs and elucidate if the genes harboring these variants along with their targeting miRNAs are associated with genetic traits relevant to certain tissues. METHODS: By applying MIGWAS, CoCoNet, ANNOVAR, and DAVID bioinformatics software and utilizing the gene expression database (e.g. GTEx data) to study GWAS summary statistics for 43 traits from 28 GWAS studies, we have identified a list of miRNAs and targeted genes harboring 3′UTR variants, which could contribute to trait-relevant tissue over miRNA-target gene network. RESULTS: Our result demonstrated that strong association between traits and tissues exists, and in particular, the Primary Biliary Cirrhosis (PBC) trait has the most significant p-value for all 180 tissues among all 43 traits used for this study. We reported SNPs located in 3′UTR regions of genes (SFMBT2, ZC3HAV1, and UGT3A1) targeted by miRNAs for PBC trait and its tissue association network. After employing Gene Ontology (GO) analysis for PBC trait, we have also identified a very important miRNA targeted gene over miRNA-target gene network, PFKL, which encodes the liver subunit of an enzyme. CONCLUSIONS: The non-coding variants identified from GWAS studies are casually assumed to be not critical to translated protein product. However, 3′ untranslated regions (3′UTRs) of genes harbor variants can often change the binding affinity of targeting miRNAs playing important roles in protein translation degree. Our study has shown that GWAS variants could play important roles on miRNA-target gene networks by contributing the association between traits and tissues. Our analysis expands our knowledge on trait-relevant tissue network and paves way for future human disease studies. BioMed Central 2020-12-28 /pmc/articles/PMC7771066/ /pubmed/33371893 http://dx.doi.org/10.1186/s12920-020-00830-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Li, Binze
Dong, Julian
Yu, Jiaqi
Fan, Yuqi
Shang, Lulu
Zhou, Xiang
Bai, Yongsheng
Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies
title Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies
title_full Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies
title_fullStr Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies
title_full_unstemmed Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies
title_short Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies
title_sort pinpointing mirna and genes enrichment over trait-relevant tissue network in genome-wide association studies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771066/
https://www.ncbi.nlm.nih.gov/pubmed/33371893
http://dx.doi.org/10.1186/s12920-020-00830-w
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