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Article: Application of logistic regression to case-control association studies involving two causative loci

TitleApplication of logistic regression to case-control association studies involving two causative loci
Authors
Issue Date2005
PublisherS Karger AG. The Journal's web site is located at http://www.karger.com/HHE
Citation
Human Heredity, 2005, v. 59 n. 2, p. 79-87 How to Cite?
AbstractModels in which two susceptibility loci jointly influence the risk of developing disease can be explored using logistic regression analysis. Comparison of likelihoods of models incorporating different sets of disease model parameters allows inferences to be drawn regarding the nature of the joint effect of the loci.We have simulated case-control samples generated assuming different two-locus models and then analysed them using logistic regression. We show that this method is practicable and that, for the models we have used, it can be expected to allow useful inferences to be drawn from sample sizes consisting of hundreds of subjects. Interactions between loci can be explored, but interactive effects do not exactly correspond with classical definitions of epistasis. We have particularly examined the issue of the extent to which it is helpful to utilise information from a previously identified locus when investigating a second, unknown locus. We show that for some models conditional analysis can have substantially greater power while for others unconditional analysis can be more powerful. Hence we conclude that in general both conditional and unconditional analyses should be performed when searching for additional loci. Copyright © 2005 S. Karger AG.
Persistent Identifierhttp://hdl.handle.net/10722/175931
ISSN
2015 Impact Factor: 1.539
2015 SCImago Journal Rankings: 0.942
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorNorth, BVen_US
dc.contributor.authorCurtis, Den_US
dc.contributor.authorSham, PCen_US
dc.date.accessioned2012-11-26T09:02:36Z-
dc.date.available2012-11-26T09:02:36Z-
dc.date.issued2005en_US
dc.identifier.citationHuman Heredity, 2005, v. 59 n. 2, p. 79-87en_US
dc.identifier.issn0001-5652en_US
dc.identifier.urihttp://hdl.handle.net/10722/175931-
dc.description.abstractModels in which two susceptibility loci jointly influence the risk of developing disease can be explored using logistic regression analysis. Comparison of likelihoods of models incorporating different sets of disease model parameters allows inferences to be drawn regarding the nature of the joint effect of the loci.We have simulated case-control samples generated assuming different two-locus models and then analysed them using logistic regression. We show that this method is practicable and that, for the models we have used, it can be expected to allow useful inferences to be drawn from sample sizes consisting of hundreds of subjects. Interactions between loci can be explored, but interactive effects do not exactly correspond with classical definitions of epistasis. We have particularly examined the issue of the extent to which it is helpful to utilise information from a previously identified locus when investigating a second, unknown locus. We show that for some models conditional analysis can have substantially greater power while for others unconditional analysis can be more powerful. Hence we conclude that in general both conditional and unconditional analyses should be performed when searching for additional loci. Copyright © 2005 S. Karger AG.en_US
dc.languageengen_US
dc.publisherS Karger AG. The Journal's web site is located at http://www.karger.com/HHEen_US
dc.relation.ispartofHuman Heredityen_US
dc.subject.meshCase-Control Studiesen_US
dc.subject.meshGenetic Predisposition To Diseaseen_US
dc.subject.meshHumansen_US
dc.subject.meshLikelihood Functionsen_US
dc.subject.meshLogistic Modelsen_US
dc.subject.meshModels, Geneticen_US
dc.subject.meshSample Sizeen_US
dc.subject.meshSoftwareen_US
dc.titleApplication of logistic regression to case-control association studies involving two causative locien_US
dc.typeArticleen_US
dc.identifier.emailSham, PC: pcsham@hku.hken_US
dc.identifier.authoritySham, PC=rp00459en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1159/000085222en_US
dc.identifier.pmid15838177-
dc.identifier.scopuseid_2-s2.0-21044450087en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21044450087&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume59en_US
dc.identifier.issue2en_US
dc.identifier.spage79en_US
dc.identifier.epage87en_US
dc.identifier.isiWOS:000229033000002-
dc.publisher.placeSwitzerlanden_US
dc.identifier.scopusauthoridNorth, BV=7005058731en_US
dc.identifier.scopusauthoridCurtis, D=14633020700en_US
dc.identifier.scopusauthoridSham, PC=34573429300en_US

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