Exploring genetic associations with ceRNA regulation in the human genome
Competing endogenous RNAs (ceRNAs) are RNA molecules that sequester shared microRNAs (miRNAs) thereby affecting the expression of other targets of the miRNAs. Whether genetic variants in ceRNA can affect its biological function and disease development is still an open question. Here we identified a...
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Veröffentlicht in: | Nucleic acids research 2017-06, Vol.45 (10), p.5653-5665 |
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creator | Li, Mulin Jun Zhang, Jian Liang, Qian Xuan, Chenghao Wu, Jiexing Jiang, Peng Li, Wei Zhu, Yun Wang, Panwen Fernandez, Daniel Shen, Yujun Chen, Yiwen Kocher, Jean-Pierre A Yu, Ying Sham, Pak Chung Wang, Junwen Liu, Jun S Liu, X Shirley |
description | Competing endogenous RNAs (ceRNAs) are RNA molecules that sequester shared microRNAs (miRNAs) thereby affecting the expression of other targets of the miRNAs. Whether genetic variants in ceRNA can affect its biological function and disease development is still an open question. Here we identified a large number of genetic variants that are associated with ceRNA's function using Geuvaids RNA-seq data for 462 individuals from the 1000 Genomes Project. We call these loci competing endogenous RNA expression quantitative trait loci or 'cerQTL', and found that a large number of them were unexplored in conventional eQTL mapping. We identified many cerQTLs that have undergone recent positive selection in different human populations, and showed that single nucleotide polymorphisms in gene 3΄UTRs at the miRNA seed binding regions can simultaneously regulate gene expression changes in both cis and trans by the ceRNA mechanism. We also discovered that cerQTLs are significantly enriched in traits/diseases associated variants reported from genome-wide association studies in the miRNA binding sites, suggesting that disease susceptibilities could be attributed to ceRNA regulation. Further in vitro functional experiments demonstrated that a cerQTL rs11540855 can regulate ceRNA function. These results provide a comprehensive catalog of functional non-coding regulatory variants that may be responsible for ceRNA crosstalk at the post-transcriptional level. |
doi_str_mv | 10.1093/nar/gkx331 |
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Whether genetic variants in ceRNA can affect its biological function and disease development is still an open question. Here we identified a large number of genetic variants that are associated with ceRNA's function using Geuvaids RNA-seq data for 462 individuals from the 1000 Genomes Project. We call these loci competing endogenous RNA expression quantitative trait loci or 'cerQTL', and found that a large number of them were unexplored in conventional eQTL mapping. We identified many cerQTLs that have undergone recent positive selection in different human populations, and showed that single nucleotide polymorphisms in gene 3΄UTRs at the miRNA seed binding regions can simultaneously regulate gene expression changes in both cis and trans by the ceRNA mechanism. We also discovered that cerQTLs are significantly enriched in traits/diseases associated variants reported from genome-wide association studies in the miRNA binding sites, suggesting that disease susceptibilities could be attributed to ceRNA regulation. Further in vitro functional experiments demonstrated that a cerQTL rs11540855 can regulate ceRNA function. These results provide a comprehensive catalog of functional non-coding regulatory variants that may be responsible for ceRNA crosstalk at the post-transcriptional level.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkx331</identifier><identifier>PMID: 28472449</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>3' Untranslated Regions ; Base Pairing ; Binding Sites ; Chromosome Mapping ; Computational Biology ; Gene Expression Regulation ; Gene Regulatory Networks ; Genome, Human ; Genome-Wide Association Study ; Humans ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; RNA, Untranslated - genetics ; RNA, Untranslated - metabolism</subject><ispartof>Nucleic acids research, 2017-06, Vol.45 (10), p.5653-5665</ispartof><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-6acd4d673eb2dfd5e50321fbd079aa966ae4c37dbc8e8744e6240484b0f15dea3</citedby><cites>FETCH-LOGICAL-c378t-6acd4d673eb2dfd5e50321fbd079aa966ae4c37dbc8e8744e6240484b0f15dea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449616/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449616/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27926,27927,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28472449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Mulin Jun</creatorcontrib><creatorcontrib>Zhang, Jian</creatorcontrib><creatorcontrib>Liang, Qian</creatorcontrib><creatorcontrib>Xuan, Chenghao</creatorcontrib><creatorcontrib>Wu, Jiexing</creatorcontrib><creatorcontrib>Jiang, Peng</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Zhu, Yun</creatorcontrib><creatorcontrib>Wang, Panwen</creatorcontrib><creatorcontrib>Fernandez, Daniel</creatorcontrib><creatorcontrib>Shen, Yujun</creatorcontrib><creatorcontrib>Chen, Yiwen</creatorcontrib><creatorcontrib>Kocher, Jean-Pierre A</creatorcontrib><creatorcontrib>Yu, Ying</creatorcontrib><creatorcontrib>Sham, Pak Chung</creatorcontrib><creatorcontrib>Wang, Junwen</creatorcontrib><creatorcontrib>Liu, Jun S</creatorcontrib><creatorcontrib>Liu, X Shirley</creatorcontrib><title>Exploring genetic associations with ceRNA regulation in the human genome</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Competing endogenous RNAs (ceRNAs) are RNA molecules that sequester shared microRNAs (miRNAs) thereby affecting the expression of other targets of the miRNAs. Whether genetic variants in ceRNA can affect its biological function and disease development is still an open question. Here we identified a large number of genetic variants that are associated with ceRNA's function using Geuvaids RNA-seq data for 462 individuals from the 1000 Genomes Project. We call these loci competing endogenous RNA expression quantitative trait loci or 'cerQTL', and found that a large number of them were unexplored in conventional eQTL mapping. We identified many cerQTLs that have undergone recent positive selection in different human populations, and showed that single nucleotide polymorphisms in gene 3΄UTRs at the miRNA seed binding regions can simultaneously regulate gene expression changes in both cis and trans by the ceRNA mechanism. We also discovered that cerQTLs are significantly enriched in traits/diseases associated variants reported from genome-wide association studies in the miRNA binding sites, suggesting that disease susceptibilities could be attributed to ceRNA regulation. Further in vitro functional experiments demonstrated that a cerQTL rs11540855 can regulate ceRNA function. These results provide a comprehensive catalog of functional non-coding regulatory variants that may be responsible for ceRNA crosstalk at the post-transcriptional level.</description><subject>3' Untranslated Regions</subject><subject>Base Pairing</subject><subject>Binding Sites</subject><subject>Chromosome Mapping</subject><subject>Computational Biology</subject><subject>Gene Expression Regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genome, Human</subject><subject>Genome-Wide Association Study</subject><subject>Humans</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quantitative Trait Loci</subject><subject>RNA, Untranslated - genetics</subject><subject>RNA, Untranslated - metabolism</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkNFLwzAQxoMobk5f_AOkjyLUJU2ati_CGNMJQ0H0OaTptYu2yUxanf-9nZtDnw7ufvfdfR9C5wRfE5zRsZFuXL2tKSUHaEgoj0KW8egQDTHFcUgwSwfoxPtXjAkjMTtGgyhlScRYNkTz2XpVW6dNFVRgoNUqkN5bpWWrrfHBp26XgYKnh0ngoOrqn3agTdAuIVh2jTSbPdvAKToqZe3hbFdH6OV29jydh4vHu_vpZBEqmqRtyKUqWMETCnlUlEUMMaYRKfMCJ5mUGecSWE8WuUohTRgDHrHeAMtxSeICJB2hm63uqssbKBSY1slarJxupPsSVmrxf2L0UlT2Q8S9X054L3C5E3D2vQPfikZ7BXUtDdjOC5JmHLMoxhv0aosqZ713UO7PECw20Ys-erGNvocv_j62R3-zpt8RtoJj</recordid><startdate>20170602</startdate><enddate>20170602</enddate><creator>Li, Mulin Jun</creator><creator>Zhang, Jian</creator><creator>Liang, Qian</creator><creator>Xuan, Chenghao</creator><creator>Wu, Jiexing</creator><creator>Jiang, Peng</creator><creator>Li, Wei</creator><creator>Zhu, Yun</creator><creator>Wang, Panwen</creator><creator>Fernandez, Daniel</creator><creator>Shen, Yujun</creator><creator>Chen, Yiwen</creator><creator>Kocher, Jean-Pierre A</creator><creator>Yu, Ying</creator><creator>Sham, Pak Chung</creator><creator>Wang, Junwen</creator><creator>Liu, Jun S</creator><creator>Liu, X Shirley</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170602</creationdate><title>Exploring genetic associations with ceRNA regulation in the human genome</title><author>Li, Mulin Jun ; Zhang, Jian ; Liang, Qian ; Xuan, Chenghao ; Wu, Jiexing ; Jiang, Peng ; Li, Wei ; Zhu, Yun ; Wang, Panwen ; Fernandez, Daniel ; Shen, Yujun ; Chen, Yiwen ; Kocher, Jean-Pierre A ; Yu, Ying ; Sham, Pak Chung ; Wang, Junwen ; Liu, Jun S ; Liu, X Shirley</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-6acd4d673eb2dfd5e50321fbd079aa966ae4c37dbc8e8744e6240484b0f15dea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>3' Untranslated Regions</topic><topic>Base Pairing</topic><topic>Binding Sites</topic><topic>Chromosome Mapping</topic><topic>Computational Biology</topic><topic>Gene Expression Regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genome, Human</topic><topic>Genome-Wide Association Study</topic><topic>Humans</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quantitative Trait Loci</topic><topic>RNA, Untranslated - genetics</topic><topic>RNA, Untranslated - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Mulin Jun</creatorcontrib><creatorcontrib>Zhang, Jian</creatorcontrib><creatorcontrib>Liang, Qian</creatorcontrib><creatorcontrib>Xuan, Chenghao</creatorcontrib><creatorcontrib>Wu, Jiexing</creatorcontrib><creatorcontrib>Jiang, Peng</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Zhu, Yun</creatorcontrib><creatorcontrib>Wang, Panwen</creatorcontrib><creatorcontrib>Fernandez, Daniel</creatorcontrib><creatorcontrib>Shen, Yujun</creatorcontrib><creatorcontrib>Chen, Yiwen</creatorcontrib><creatorcontrib>Kocher, Jean-Pierre A</creatorcontrib><creatorcontrib>Yu, Ying</creatorcontrib><creatorcontrib>Sham, Pak Chung</creatorcontrib><creatorcontrib>Wang, Junwen</creatorcontrib><creatorcontrib>Liu, Jun S</creatorcontrib><creatorcontrib>Liu, X Shirley</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Mulin Jun</au><au>Zhang, Jian</au><au>Liang, Qian</au><au>Xuan, Chenghao</au><au>Wu, Jiexing</au><au>Jiang, Peng</au><au>Li, Wei</au><au>Zhu, Yun</au><au>Wang, Panwen</au><au>Fernandez, Daniel</au><au>Shen, Yujun</au><au>Chen, Yiwen</au><au>Kocher, Jean-Pierre A</au><au>Yu, Ying</au><au>Sham, Pak Chung</au><au>Wang, Junwen</au><au>Liu, Jun S</au><au>Liu, X Shirley</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring genetic associations with ceRNA regulation in the human genome</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2017-06-02</date><risdate>2017</risdate><volume>45</volume><issue>10</issue><spage>5653</spage><epage>5665</epage><pages>5653-5665</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>Competing endogenous RNAs (ceRNAs) are RNA molecules that sequester shared microRNAs (miRNAs) thereby affecting the expression of other targets of the miRNAs. Whether genetic variants in ceRNA can affect its biological function and disease development is still an open question. Here we identified a large number of genetic variants that are associated with ceRNA's function using Geuvaids RNA-seq data for 462 individuals from the 1000 Genomes Project. We call these loci competing endogenous RNA expression quantitative trait loci or 'cerQTL', and found that a large number of them were unexplored in conventional eQTL mapping. We identified many cerQTLs that have undergone recent positive selection in different human populations, and showed that single nucleotide polymorphisms in gene 3΄UTRs at the miRNA seed binding regions can simultaneously regulate gene expression changes in both cis and trans by the ceRNA mechanism. We also discovered that cerQTLs are significantly enriched in traits/diseases associated variants reported from genome-wide association studies in the miRNA binding sites, suggesting that disease susceptibilities could be attributed to ceRNA regulation. Further in vitro functional experiments demonstrated that a cerQTL rs11540855 can regulate ceRNA function. These results provide a comprehensive catalog of functional non-coding regulatory variants that may be responsible for ceRNA crosstalk at the post-transcriptional level.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>28472449</pmid><doi>10.1093/nar/gkx331</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 3' Untranslated Regions Base Pairing Binding Sites Chromosome Mapping Computational Biology Gene Expression Regulation Gene Regulatory Networks Genome, Human Genome-Wide Association Study Humans MicroRNAs - genetics MicroRNAs - metabolism Polymorphism, Single Nucleotide Quantitative Trait Loci RNA, Untranslated - genetics RNA, Untranslated - metabolism |
title | Exploring genetic associations with ceRNA regulation in the human genome |
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