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dc.contributor.authorRichardson, Kris
dc.contributor.authorLai, Chao-Qiang
dc.contributor.authorParnell, Laurence D
dc.contributor.authorLee, Yu-Chi
dc.contributor.authorOrdovas, Jose M 
dc.date.accessioned2019-09-25T08:16:47Z
dc.date.available2019-09-25T08:16:47Z
dc.date.issued2011-10
dc.identifier.citationBMC Genomics. 2011; 12(1):504es_ES
dc.identifier.issn1471-2164es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/8380
dc.description.abstractBACKGROUND: Gene variants within regulatory regions are thought to be major contributors of the variation of complex traits/diseases. Genome wide association studies (GWAS), have identified scores of genetic variants that appear to contribute to human disease risk. However, most of these variants do not appear to be functional. Thus, the significance of the association may be brought up by still unknown mechanisms or by linkage disequilibrium (LD) with functional polymorphisms. In the present study, focused on functional variants related with the binding of microRNAs (miR), we utilized SNP data, including newly released 1000 Genomes Project data to perform a genome-wide scan of SNPs that abrogate or create miR recognition element (MRE) seed sites (MRESS). RESULTS: We identified 2723 SNPs disrupting, and 22295 SNPs creating MRESSs. We estimated the percent of SNPs falling within both validated (5%) and predicted conserved MRESSs (3%). We determined 87 of these MRESS SNPs were listed in GWAS association studies, or in strong LD with a GWAS SNP, and may represent the functional variants of identified GWAS SNPs. Furthermore, 39 of these have evidence of co-expression of target mRNA and the predicted miR. We also gathered previously published eQTL data supporting a functional role for four of these SNPs shown to associate with disease phenotypes. Comparison of FST statistics (a measure of population subdivision) for predicted MRESS SNPs against non MRESS SNPs revealed a significantly higher (P = 0.0004) degree of subdivision among MRESS SNPs, suggesting a role for these SNPs in environmentally driven selection. CONCLUSIONS: We have demonstrated the potential of publicly available resources to identify high priority candidate SNPs for functional studies and for disease risk prediction.es_ES
dc.description.sponsorshipThis work was supported by National Heart, Lung, and Blood Institute grants HL-54776; National Institute of Diabetes and Digestive and Kidney Diseases, Grant Number DK075030; and by contracts 53-K06-5-10 and 58-1950-9-001 from the US Department of Agriculture Research.es_ES
dc.language.isoenges_ES
dc.publisherBiomed Centrales_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshGenome, Human es_ES
dc.subject.meshHumans es_ES
dc.subject.meshLinkage Disequilibrium es_ES
dc.subject.meshMicroRNAs es_ES
dc.subject.meshQuantitative Trait Loci es_ES
dc.subject.meshRNA, Messenger es_ES
dc.subject.meshGenome-Wide Association Study es_ES
dc.subject.meshPolymorphism, Single Nucleotidees_ES
dc.titleA genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWASes_ES
dc.typeArtículoes_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID21995669es_ES
dc.format.volume12es_ES
dc.format.number1es_ES
dc.format.page504es_ES
dc.identifier.doi10.1186/1471-2164-12-504es_ES
dc.contributor.funderNational Heart, Lung, and Blood Institute (United States)es_ES
dc.contributor.funderNational Institute of Diabetes and Digestive and Kidney Disease (United States)es_ES
dc.contributor.funderDepartment of Agriculture (United States)es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1471-2164es_ES
dc.relation.publisherversionhttps://doi.org/10.1186/1471-2164-12-504es_ES
dc.identifier.journalBMC Genomicses_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Imagen Cardiovascular y Estudios Poblacionaleses_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución 4.0 Internacional
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