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Coreferentiality: A New Method for the Hypothesis-Based Analysis of Phenotypes Characterized by Multivariate Data

2012-03-29Journal article Open access
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dc.contributor.authorFesel, Constantin
dc.date.accessioned2016-06-13T15:45:10Z
dc.date.available2016-06-13T15:45:10Z
dc.date.issued2012-03-29
dc.description.abstractMany multifactorial biologic effects, particularly in the context of complex human diseases, are still poorly understood. At the same time, the systematic acquisition of multivariate data has become increasingly easy. The use of such data to analyze and model complex phenotypes, however, remains a challenge. Here, a new analytic approach is described, termed coreferentiality, together with an appropriate statistical test. Coreferentiality is the indirect relation of two variables of functional interest in respect to whether they parallel each other in their respective relatedness to multivariate reference data, which can be informative for a complex effect or phenotype. It is shown that the power of coreferentiality testing is comparable to multiple regression analysis, sufficient even when reference data are informative only to a relatively small extent of 2.5%, and clearly exceeding the power of simple bivariate correlation testing. Thus, coreferentiality testing uses the increased power of multivariate analysis, however, in order to address a more straightforward interpretable bivariate relatedness. Systematic application of this approach could substantially improve the analysis and modeling of complex phenotypes, particularly in the context of human study where addressing functional hypotheses by direct experimentation is often difficult.pt_PT
dc.description.sponsorshipFundação para a Ciência e para a Tecnologia postdoctoral fellowship and a research grant: (POCTI/SAU-MMO/59913/2004).pt_PT
dc.identifier.citationFesel C (2012) Coreferentiality: A New Method for the Hypothesis-Based Analysis of Phenotypes Characterized by Multivariate Data. PLoS ONE 7(3): e33990. doi:10.1371/journal.pone.0033990pt_PT
dc.identifier.doi10.1371/journal.pone.0033990pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/643
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPLOSpt_PT
dc.relation.publisherversionhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0033990pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHumanspt_PT
dc.subjectMultivariate Analysispt_PT
dc.subjectRegression Analysispt_PT
dc.subjectModels, Theoreticalpt_PT
dc.subjectPhenotypept_PT
dc.titleCoreferentiality: A New Method for the Hypothesis-Based Analysis of Phenotypes Characterized by Multivariate Datapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage7pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titlePLoS ONEpt_PT
oaire.citation.volume7pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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