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dc.contributor.authorAbad Grau, María Del Mar 
dc.contributor.authorMedina Medina, Nuria 
dc.contributor.authorMontes Soldado, Rosa Ana 
dc.contributor.authorMatesanz, Fuencisla
dc.contributor.authorBafna, Vineet
dc.date.accessioned2014-03-27T13:46:43Z
dc.date.available2014-03-27T13:46:43Z
dc.date.issued2012
dc.identifier.citationAbad-Grau, M.M.; et al. Sample Reproducibility of Genetic Association Using Different Multimarker TDTs in Genome-Wide Association Studies: Characterization and a New Approach. Plos One, 7(2): e29613 (2012). [http://hdl.handle.net/10481/31140]es_ES
dc.identifier.issn1932-6203
dc.identifier.otherdoi:10.1371/journal.pone.0029613
dc.identifier.urihttp://hdl.handle.net/10481/31140
dc.description.abstractMultimarker Transmission/Disequilibrium Tests (TDTs) are very robust association tests to population admixture and structure which may be used to identify susceptibility loci in genome-wide association studies. Multimarker TDTs using several markers may increase power by capturing high-degree associations. However, there is also a risk of spurious associations and power reduction due to the increase in degrees of freedom. In this study we show that associations found by tests built on simple null hypotheses are highly reproducible in a second independent data set regardless the number of markers. As a test exhibiting this feature to its maximum, we introduce the multimarker -Groups TDT (mTDT2G), a test which under the hypothesis of no linkage, asymptotically follows a ... distribution with ... degree of freedom regardless the number of markers. The statistic requires the division of parental haplotypes into two groups: disease susceptibility and disease protective haplotype groups. We assessed the test behavior by performing an extensive simulation study as well as a real-data study using several data sets of two complex diseases. We show that mTDT2G test is highly efficient and it achieves the highest power among all the tests used, even when the null hypothesis is tested in a second independent data set. Therefore, mTDT2G turns out to be a very promising multimarker TDT to perform genome-wide searches for disease susceptibility loci that may be used as a preprocessing step in the construction of more accurate genetic models to predict individual susceptibility to complex diseases.es_ES
dc.description.sponsorshipThe authors have been partially supported by the Spanish Research Program under projects TIN2007-67418-C03-03 and PIA12009-07, by the Health Research Fund FEDER (PI081636), by the Andalusian Research Program under project P08-TIC-03717, and by the European Regional Development Fund.es_ES
dc.language.isoenges_ES
dc.publisherPublic Library of Science (PLOS)es_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectDNA recombinationes_ES
dc.subjectData processinges_ES
dc.subjectDisease susceptibilityes_ES
dc.subjectGenetic locies_ES
dc.subjectHaplotypeses_ES
dc.subjectReproducibilityes_ES
dc.subjectSimulation and modelinges_ES
dc.subjectVariant genotypeses_ES
dc.titleSample Reproducibility of Genetic Association Using Different Multimarker TDTs in Genome-Wide Association Studies: Characterization and a New Approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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