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dc.contributor.authorCalaza Cabanas, Manuel
dc.contributor.authorGonzález Martínez-Pedrayo, Antonio 
dc.contributor.authorRodríguez Fontenla, Cristina
dc.date.accessioned2017-06-07T07:25:03Z
dc.date.available2017-06-07T07:25:03Z
dc.date.issued2014
dc.identifier.issn1471-2164
dc.identifier.urihttp://hdl.handle.net/20.500.11940/6188
dc.description.abstractBackground: Some association studies, as the implemented in VEGAS, ALIGATOR, i-GSEA4GWAS, GSA-SNP and other software tools, use genes as the unit of analysis. These genes include the coding sequence plus flanking sequences. Polymorphisms in the flanking sequences are of interest because they involve cis-regulatory elements or they inform on untyped genetic variants trough linkage disequilibrium. Gene extensions have customarily been defined as ±50 Kb. This approach is not fully satisfactory because genetic relationships between neighbouring sequences are a function of genetic distances, which are only poorly replaced by physical distances. Results: Standardized recombination rates (SRR) from the deCODE recombination map were used as units of genetic distances. We searched for a SRR producing flanking sequences near the ±50 Kb offset that has been common in previous studies. A SRR≥2 was selected because it led to gene extensions with median length=45.3 Kb and the simplicity of an integer value. As expected, boundaries of the genes defined with the ±50 Kb and with the SRR≥2 rules were rarely concordant. The impact of these differences was illustrated with the interpretation of top association signals from two large studies including many hits and their detailed analysis based in different criteria. The definition based in genetic distance was more concordant with the results of these studies than the based in physical distance. In the analysis of 18 top disease associated loci form the first study, the SRR≥2 genes led to a fully concordant interpretation in 17 loci; the ±50 Kb genes only in 6. Interpretation of the 43 putative functional genes of the second study based in the SRR≥2 definition only missed 4 of the genes, whereas the based in the ±50 Kb definition missed 10 genes. Conclusions: A gene definition based on genetic distance led to results more concordant with expert detailed analyses than the commonly used based in physical distance. The genome coordinates for each gene are provided to maintain a simple use of the new definitions.
dc.language.isoeng
dc.rightsAtribución 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshGenetic Association Studies
dc.subject.meshGenome, Human
dc.subject.meshGenome-Wide Association Study
dc.subject.meshLinkage Disequilibrium
dc.subject.meshPolymorphism, Single Nucleotide
dc.subject.meshRecombination, Genetic
dc.subject.meshSoftware
dc.titleGenetic distance as an alternative to physical distance for definition of gene units in association studies
dc.typeArtigoes
dc.authorsophosRodriguez-Fontenla, C.
dc.authorsophosCalaza, M.
dc.authorsophosGonzalez, A.
dc.identifier.doi10.1186/1471-2164-15-408
dc.identifier.isi336923100001
dc.identifier.pmid24884992
dc.identifier.sophos14958
dc.journal.titleBMC GENOMICS
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago::IDIS.- Instituto de investigaciones sanitarias de Santiago
dc.page.initial408
dc.rights.accessRightsopenAccess
dc.subject.decsEstudios de Asociación Genética
dc.subject.decsGenoma Humano
dc.subject.decsEstudio de Asociación del Genoma Completo
dc.subject.decsDesequilibrio de Ligamiento
dc.subject.decsPolimorfismo de Nucleótido Simple
dc.subject.decsRecombinación Genética
dc.subject.decsProgramas Informáticos
dc.typesophosArtículo Original
dc.volume.number15


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