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首页 癌症评估不同模型

癌症评估不同模型.doc

癌症评估不同模型

小君_魅影
2019-01-14 0人阅读 举报 0 0 0 暂无简介

简介:本文档为《癌症评估不同模型doc》,可适用于医药卫生领域

问题类似于版内一个问题,但是还是没弄明白,故开贴求解,谢谢!单核苷酸多态性为位点(C>T),存在许多不同的遗传模型(geneticmodel),比如dominantmodel:(TTCT)vsCC,recessivemodel:TTvs(CTCC)那么,additivemodel的OR值指的是什么呢猜想是dominantmodel与recessivemodel两OR值合并猜想是CTvsCC得OR,TTvsCC得OR,然后OR,OR合并请高人点拨!GeneticModelsandOtherGeneticTestsHelixTreewillperformtestsbasedupononegeneticmodelorothergroupingofgeneticinformationThesemodelsandothergenetictestsareasfollows:BasicAllelicTestsGenotypicTestsAdditiveModelDominantModelRecessiveModelThesearedescribedinthefollowingsubsectionsBasicAllelicTestsForabasicallelictest,thegenotypesdd,Dd,andDDareresolvedintopairsofallelesdandd,Dandd,orDandDBothelementsofeachsubject’sgenotypeareconsideredtocorrespondtothesamevalueofthedependentvariableTheassociationswiththeseindividualallelesarethentestedForexample,thefollowingcasecontroldependentvariableandgeneticvariablecolumnsCaseControlGenotypeddDdDDwouldbetranslatedto:CaseControlAlleleddDdDDandthefollowingquantitativephenotypedependentvariableandgeneticvariablecolumnsPhenotypeGenotypeddDdDDwouldbetranslatedto:PhenotypeAlleleddDdDDTheadvantageofthistestmodelisthatthenumberofobservationshasbeendoubledThedisadvantageisthatthegenotypicspecificinformation,suchaswhichallelesarepairedtogether,isignoredAfurtherdisadvantageofbasicalleletestingisthatstratificationcorrectionthroughthePrincipalComponentsAnalysismethodisnotavailableforthismodelGenotypicTestsHelixTree“GenotypicTests”refertotestingonthegenotypesdd,DD,andDdwithoutregardtoany“order”oralleliccountorallelicpairingthattheymighthaveThesetestscanrevealassociationswithoutregardtoanyspecificgeneticmodel,evenwhileitwillnot“hide”associationsbecauseofthemodelbeing“wrong”However,stratificationcorrectionthroughthePrincipalComponentsAnalysismethodisnotavailableforthismodelAlso,nostratificationcorrectionisavailableatallforthismodeliftheresponseisaquantitativetraitAdditiveModelUnderthismodel,testingisdesignedspecificallytorevealassociationsthatdependadditivelyupontheminorallele–thatis,wherehavingtwominoralleles(DD)ratherthanhavingnominoralleles(dd)istwiceaslikelytoaffecttheoutcomeinacertaindirectionasishavingjustoneminorallele(Dd)ratherthannominoralleles(dd)NOTE:Foracasecontrolresponse,twooddsratiotests(see)areavailableunderthismodelThesetests,whicharereallynotapartoftheadditivemodel,assuch,arenotonlyindicatorsoftheintensityofanyassociation,butarealsoacheckonthevalidityoftheadditivemodelitselfindescribingtheeffectDominantModelThismodelspecificallyteststheassociationofhavingatleastoneminoralleleD(eitherDdorDD)vsnothavingitatall(dd)RecessiveModelThismodelspecificallyteststheassociationofhavingtheminoralleleDasbothalleles(DD)vshavingatleastonemajoralleled(Ddordd)

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