Prioritization of Genetic Variants in the microRNA Regulome as Functional Candidates in Genome-Wide Association Studies
ABSTRACT Comprehensive analyses of results from genome‐wide association studies (GWAS) have demonstrated that complex disease/trait‐associated loci are enriched in gene regulatory regions of the genome. The search for causal regulatory variation has focused primarily on transcriptional elements, suc...
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Veröffentlicht in: | Human mutation 2013-08, Vol.34 (8), p.1049-1056 |
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description | ABSTRACT
Comprehensive analyses of results from genome‐wide association studies (GWAS) have demonstrated that complex disease/trait‐associated loci are enriched in gene regulatory regions of the genome. The search for causal regulatory variation has focused primarily on transcriptional elements, such as promoters and enhancers. microRNAs (miRNAs) are now widely appreciated as critical posttranscriptional regulators of gene expression and are thought to impart stability to biological systems. Naturally occurring genetic variation in the miRNA regulome is likely an important contributor to phenotypic variation in the human population. However, the extent to which polymorphic miRNA‐mediated gene regulation underlies GWAS signals remains unclear. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the miRNA regulome as functional candidates in GWAS. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation. We also provide a discussion of how our approach can be expanded in the future. Overall, we believe that the results of this study will be valuable for researchers interested in determining whether GWAS signals implicate the miRNA regulome in their disease/trait of interest.
Naturally occurring genetic variation in the microRNA regulome is likely an important contributor to phenotypic variation in the human population. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the microRNA regulome as functional candidates in genome‐wide association studies. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation. |
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Comprehensive analyses of results from genome‐wide association studies (GWAS) have demonstrated that complex disease/trait‐associated loci are enriched in gene regulatory regions of the genome. The search for causal regulatory variation has focused primarily on transcriptional elements, such as promoters and enhancers. microRNAs (miRNAs) are now widely appreciated as critical posttranscriptional regulators of gene expression and are thought to impart stability to biological systems. Naturally occurring genetic variation in the miRNA regulome is likely an important contributor to phenotypic variation in the human population. However, the extent to which polymorphic miRNA‐mediated gene regulation underlies GWAS signals remains unclear. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the miRNA regulome as functional candidates in GWAS. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation. We also provide a discussion of how our approach can be expanded in the future. Overall, we believe that the results of this study will be valuable for researchers interested in determining whether GWAS signals implicate the miRNA regulome in their disease/trait of interest.
Naturally occurring genetic variation in the microRNA regulome is likely an important contributor to phenotypic variation in the human population. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the microRNA regulome as functional candidates in genome‐wide association studies. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation.</description><identifier>ISSN: 1059-7794</identifier><identifier>EISSN: 1098-1004</identifier><identifier>DOI: 10.1002/humu.22337</identifier><identifier>PMID: 23595788</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Body Height ; complex disease ; Computational Biology ; Disease - genetics ; Gene expression ; Gene Expression Regulation ; gene regulation ; Genetic Variation ; Genome, Human ; Genome-Wide Association Study ; Genomes ; GWAS ; HeLa Cells ; Humans ; Informatics ; Linkage Disequilibrium ; microRNA ; MicroRNAs - genetics ; MicroRNAs - metabolism ; polymorphism ; Polymorphism, Single Nucleotide ; Promoter Regions, Genetic ; Quantitative Trait Loci ; Studies</subject><ispartof>Human mutation, 2013-08, Vol.34 (8), p.1049-1056</ispartof><rights>2013 The Authors. published by Wiley Periodicals, Inc.</rights><rights>2013 WILEY PERIODICALS, INC.</rights><rights>Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company</rights><rights>Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhumu.22337$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhumu.22337$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23595788$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bulik-Sullivan, Brendan</creatorcontrib><creatorcontrib>Selitsky, Sara</creatorcontrib><creatorcontrib>Sethupathy, Praveen</creatorcontrib><title>Prioritization of Genetic Variants in the microRNA Regulome as Functional Candidates in Genome-Wide Association Studies</title><title>Human mutation</title><addtitle>Human Mutation</addtitle><description>ABSTRACT
Comprehensive analyses of results from genome‐wide association studies (GWAS) have demonstrated that complex disease/trait‐associated loci are enriched in gene regulatory regions of the genome. The search for causal regulatory variation has focused primarily on transcriptional elements, such as promoters and enhancers. microRNAs (miRNAs) are now widely appreciated as critical posttranscriptional regulators of gene expression and are thought to impart stability to biological systems. Naturally occurring genetic variation in the miRNA regulome is likely an important contributor to phenotypic variation in the human population. However, the extent to which polymorphic miRNA‐mediated gene regulation underlies GWAS signals remains unclear. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the miRNA regulome as functional candidates in GWAS. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation. We also provide a discussion of how our approach can be expanded in the future. Overall, we believe that the results of this study will be valuable for researchers interested in determining whether GWAS signals implicate the miRNA regulome in their disease/trait of interest.
Naturally occurring genetic variation in the microRNA regulome is likely an important contributor to phenotypic variation in the human population. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the microRNA regulome as functional candidates in genome‐wide association studies. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation.</description><subject>Body Height</subject><subject>complex disease</subject><subject>Computational Biology</subject><subject>Disease - genetics</subject><subject>Gene expression</subject><subject>Gene Expression Regulation</subject><subject>gene regulation</subject><subject>Genetic Variation</subject><subject>Genome, Human</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>GWAS</subject><subject>HeLa Cells</subject><subject>Humans</subject><subject>Informatics</subject><subject>Linkage Disequilibrium</subject><subject>microRNA</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>polymorphism</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Promoter Regions, Genetic</subject><subject>Quantitative Trait Loci</subject><subject>Studies</subject><issn>1059-7794</issn><issn>1098-1004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNqFkktv1DAUhSMEoqWw4QcgS2zYpPgRx84GaRiYKdK00MJQiY3lcW46bpO4-EEpv77JTBkBG1a-8v3OuVf2ybLnBB8SjOnrderSIaWMiQfZPsGVzIfr4uFY8yoXoir2sichXGKMJefscbZHGa-4kHI_u_nkrfM22l86Wtcj16A59BCtQV-1t7qPAdkexTWgzhrvzk4m6AwuUus6QDqgWerNKNQtmuq-trWOsFEMLgOSn9sa0CQEZ-x2wOeYagvhafao0W2AZ_fnQbacvf8yPcoXH-cfppNFbgssRE4bWq0Ac6qlFAVemabRwpRVWTdsBYAN02AKTbiuqMQNY0bK0vCaCiE0pYIdZG-2vtdp1UFtoI9et-ra2077W-W0VX93ertWF-6HYhILzkeDV_cG3n1PEKLqbDDQtroHl4IivMCUUVLx_6MFxiWlhFQD-vIf9NIlP7ziQIkSk7IgDA_Uiz-X3239-_sGgGyBG9vC7a5PsBqDocZgqE0w1NHyeLmpBk2-1dgQ4edOo_2VKgUTXJ2fzNXsdE7fnn5bqHfsDhJ5vAI</recordid><startdate>201308</startdate><enddate>201308</enddate><creator>Bulik-Sullivan, Brendan</creator><creator>Selitsky, Sara</creator><creator>Sethupathy, Praveen</creator><general>Blackwell Publishing Ltd</general><general>Hindawi Limited</general><scope>BSCLL</scope><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QP</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201308</creationdate><title>Prioritization of Genetic Variants in the microRNA Regulome as Functional Candidates in Genome-Wide Association Studies</title><author>Bulik-Sullivan, Brendan ; Selitsky, Sara ; Sethupathy, Praveen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i4077-2f29be052a88740bcffa7c696df3bee0c3aec4a15a9280f33c886c5d2777a2273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Body Height</topic><topic>complex disease</topic><topic>Computational Biology</topic><topic>Disease - genetics</topic><topic>Gene expression</topic><topic>Gene Expression Regulation</topic><topic>gene regulation</topic><topic>Genetic Variation</topic><topic>Genome, Human</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>GWAS</topic><topic>HeLa Cells</topic><topic>Humans</topic><topic>Informatics</topic><topic>Linkage Disequilibrium</topic><topic>microRNA</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>polymorphism</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Promoter Regions, Genetic</topic><topic>Quantitative Trait Loci</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bulik-Sullivan, Brendan</creatorcontrib><creatorcontrib>Selitsky, Sara</creatorcontrib><creatorcontrib>Sethupathy, Praveen</creatorcontrib><collection>Istex</collection><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human mutation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bulik-Sullivan, Brendan</au><au>Selitsky, Sara</au><au>Sethupathy, Praveen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prioritization of Genetic Variants in the microRNA Regulome as Functional Candidates in Genome-Wide Association Studies</atitle><jtitle>Human mutation</jtitle><addtitle>Human Mutation</addtitle><date>2013-08</date><risdate>2013</risdate><volume>34</volume><issue>8</issue><spage>1049</spage><epage>1056</epage><pages>1049-1056</pages><issn>1059-7794</issn><eissn>1098-1004</eissn><abstract>ABSTRACT
Comprehensive analyses of results from genome‐wide association studies (GWAS) have demonstrated that complex disease/trait‐associated loci are enriched in gene regulatory regions of the genome. The search for causal regulatory variation has focused primarily on transcriptional elements, such as promoters and enhancers. microRNAs (miRNAs) are now widely appreciated as critical posttranscriptional regulators of gene expression and are thought to impart stability to biological systems. Naturally occurring genetic variation in the miRNA regulome is likely an important contributor to phenotypic variation in the human population. However, the extent to which polymorphic miRNA‐mediated gene regulation underlies GWAS signals remains unclear. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the miRNA regulome as functional candidates in GWAS. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation. We also provide a discussion of how our approach can be expanded in the future. Overall, we believe that the results of this study will be valuable for researchers interested in determining whether GWAS signals implicate the miRNA regulome in their disease/trait of interest.
Naturally occurring genetic variation in the microRNA regulome is likely an important contributor to phenotypic variation in the human population. In this study, we have developed the most comprehensive bioinformatic analysis pipeline to date for cataloging and prioritizing variants in the microRNA regulome as functional candidates in genome‐wide association studies. We highlight specific findings, including a variant in the promoter of the miRNA let‐7 that may contribute to human height variation.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>23595788</pmid><doi>10.1002/humu.22337</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Body Height complex disease Computational Biology Disease - genetics Gene expression Gene Expression Regulation gene regulation Genetic Variation Genome, Human Genome-Wide Association Study Genomes GWAS HeLa Cells Humans Informatics Linkage Disequilibrium microRNA MicroRNAs - genetics MicroRNAs - metabolism polymorphism Polymorphism, Single Nucleotide Promoter Regions, Genetic Quantitative Trait Loci Studies |
title | Prioritization of Genetic Variants in the microRNA Regulome as Functional Candidates in Genome-Wide Association Studies |
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