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1、HindawiPublishingCorporationInternationalJournalofPlantGenomicsVolume2008,ArticleID286561,8pagesdoi:10.1155/2008/286561ReviewArticleStatisticalMethodsforMappingMultipleQTLWeiZou1,2andZhao-BangZeng1,2,3123BioinformaticsResearchCenter,NorthCarolinaStateUniversity,Raleigh,NC27695,USADepartmentofSta
2、tistics,NorthCarolinaStateUniversity,Raleigh,NC27695,USADepartmentofGenetics,NorthCarolinaStateUniversity,Raleigh,NC27695,USACorrespondenceshouldbeaddressedtoZhao-BangZeng,zeng@stat.ncsu.eduReceived17December2007;Accepted29April2008RecommendedbyShizhongXuSinceLanderandBotsteinproposedtheinterval
3、mappingmethodforQTLmappingdataanalysisin1989,tremendousprogresshasbeenmadeinthelastmanyyearstoadvancenewandpowerfulstatisticalmethodsforQTLanalysis.RecentresearchprogresshasbeenfocusedonstatisticalmethodsandissuesformappingmultipleQTLtogether.Inthisarticle,wereviewthisprogress.Wefocusthediscussi
4、ononthestatisticalmethodsformappingmultipleQTLbymaximumlikelihoodandBayesianmethodsandalsoondeterminingappropriatethresholdsfortheanalysis.Copyright©2008W.ZouandZ.-B.Zeng.ThisisanopenaccessarticledistributedundertheCreativeCommonsAttributionLicense,whichpermitsunrestricteduse,distribution,andrep
5、roductioninanymedium,providedtheoriginalworkisproperlycited.1.INTRODUCTIONIM[5]wasalsoproposedwherephenotypicvalueswereregressedontoexpectedgeneticcoefficientsofaputativeQTL.Motivatedbytheconditionalindependencybetweenmarkergenotypes,compositeintervalmapping[6]proposedtointroduceadditionalflankingm
6、arkersascovariatesintothelikelihoodfunctiontoreducetheconfoundingeffectsfromnearbyQTLwhenscanningthecurrentinterval.However,mostofthesemethodswerestilldesignedtodetectasingleQTLatatimebasedonastatisticaltestthatacandidatepositionforaQTLhassignificanteffectornot.Thetestwasconstructedtotesteachpositi
7、oninagenomeandthuscreatedagenomescanforQTLanalysis.Thoughintuitiveandwidelyused,thesemethodsarestillinsufficienttostudythegeneticarchitectureofcomplexquantitativetraitsthatareaffectedbymultipleQTL.Whenatraitisaffectedbymultiplel
