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Article: Power comparison of parametric and nonparametric linkage tests in small pedigrees

TitlePower comparison of parametric and nonparametric linkage tests in small pedigrees
Authors
Issue Date2000
PublisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/
Citation
American Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1661-1668 How to Cite?
AbstractWhen the mode of inheritance of a disease is unknown, the LOD-score method of linkage analysis must take into account uncertainties in model parameters. We have previously proposed a parametric linkage test called 'MFLOD,' which does not require specification of disease model parameters. In the present study, we introduce two new model-free parametric linkage tests, known as 'MLOD' and 'MALOD.' These tests are defined, respectively, as the LOD score and the admixture LOD score, maximized (subject to the same constraints as MFLOD) over disease-model parameters. We compared the power of these three parametric linkage tests and that of two nonparametric linkage tests, NP(all) and NPL(pairs), which are implemented in GENEHUNTER. With the use of small pedigrees and a fully informative marker, we found the powers of MLOD, NPL(all), and NPL(pairs) to be almost equivalent to each other and not far below that of a LOD-score analysis performed under the assumption the correct genetic parameters. Thus, linkage analysis is not much hindered by uncertain mode of inheritance. The results also suggest that both parametric and nonparametric methods are suitable for linkage analysis of complex disorders in small pedigrees. However, whether these results apply to large pedigrees remains to be answered.
Persistent Identifierhttp://hdl.handle.net/10722/175814
ISSN
2015 Impact Factor: 10.794
2015 SCImago Journal Rankings: 8.769
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSham, PCen_US
dc.contributor.authorLin, MWen_US
dc.contributor.authorZhao, JHen_US
dc.contributor.authorCurtis, Den_US
dc.date.accessioned2012-11-26T09:01:31Z-
dc.date.available2012-11-26T09:01:31Z-
dc.date.issued2000en_US
dc.identifier.citationAmerican Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1661-1668en_US
dc.identifier.issn0002-9297en_US
dc.identifier.urihttp://hdl.handle.net/10722/175814-
dc.description.abstractWhen the mode of inheritance of a disease is unknown, the LOD-score method of linkage analysis must take into account uncertainties in model parameters. We have previously proposed a parametric linkage test called 'MFLOD,' which does not require specification of disease model parameters. In the present study, we introduce two new model-free parametric linkage tests, known as 'MLOD' and 'MALOD.' These tests are defined, respectively, as the LOD score and the admixture LOD score, maximized (subject to the same constraints as MFLOD) over disease-model parameters. We compared the power of these three parametric linkage tests and that of two nonparametric linkage tests, NP(all) and NPL(pairs), which are implemented in GENEHUNTER. With the use of small pedigrees and a fully informative marker, we found the powers of MLOD, NPL(all), and NPL(pairs) to be almost equivalent to each other and not far below that of a LOD-score analysis performed under the assumption the correct genetic parameters. Thus, linkage analysis is not much hindered by uncertain mode of inheritance. The results also suggest that both parametric and nonparametric methods are suitable for linkage analysis of complex disorders in small pedigrees. However, whether these results apply to large pedigrees remains to be answered.en_US
dc.languageengen_US
dc.publisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/en_US
dc.relation.ispartofAmerican Journal of Human Geneticsen_US
dc.subject.meshChromosome Mapping - Methods - Statistics & Numerical Dataen_US
dc.subject.meshComputer Simulationen_US
dc.subject.meshFemaleen_US
dc.subject.meshGenetic Diseases, Inborn - Geneticsen_US
dc.subject.meshGenetic Markers - Geneticsen_US
dc.subject.meshHumansen_US
dc.subject.meshLod Scoreen_US
dc.subject.meshMaleen_US
dc.subject.meshModels, Geneticen_US
dc.subject.meshPedigreeen_US
dc.subject.meshReproducibility Of Resultsen_US
dc.subject.meshSample Sizeen_US
dc.subject.meshSoftwareen_US
dc.subject.meshStatistics, Nonparametricen_US
dc.titlePower comparison of parametric and nonparametric linkage tests in small pedigreesen_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.doi10.1086/302888en_US
dc.identifier.pmid10762550-
dc.identifier.scopuseid_2-s2.0-0033911219en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033911219&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume66en_US
dc.identifier.issue5en_US
dc.identifier.spage1661en_US
dc.identifier.epage1668en_US
dc.identifier.isiWOS:000088373700019-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridSham, PC=34573429300en_US
dc.identifier.scopusauthoridLin, MW=35277520300en_US
dc.identifier.scopusauthoridZhao, JH=7410311266en_US
dc.identifier.scopusauthoridCurtis, D=14633020700en_US

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