孟德尔随机化分析原理解析培训讲学.ppt

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1、孟德尔随机化分析原理解析StandardizedplaninMendelianrandomisationstudyExtractinterestingSNPsExtractdataofcasesandcontrolsTwo-sampleMRPotentialproblemsandlimitationsofMendelianrandomisationstudyValidateSNPsExtractinterestingSNPsPvalue<5×10−81.SUNLIGHTConsortium,CanadianMulticentreOsteoporosisStud

2、y(CaMos)2.FromthelargestGWA(UKBiobank)3.FromtheGIANT(GeneticInvestigationofAnthropometricTraits)consortiumeg.BMI,HeightExtractdataofcasesandcontrolsUKBiobankAsthma,hildrenAsthma(GABRIELconsortium)Atopicdermatitis(EAGLEEczemaConsortium)IgElevels(GABRIELconsortium)EarlyGeneticsandLife

3、courseEpidemiology(EAGLE)EczemaConsortium@HavethedetailinformationofinterestedSNPsincasesandcontrolsTwo-sampleMREg.Therelationshipbetweengeneticvariantsand25OHDwasascertainedfromonestudy,andtherelationshipbetweenthesamegeneticvariantsandAsthma,Childhoodasthma,Atopicdermatitis,IgEwas

4、ascertainedfromasecondstudy.Waldratios(βIV)=βZY/βZXβZXSNP与暴露或中间表现的相关系数βZYSNP与目标结局的相关系数ValidateSNPs5.敏感性分析（依次剔除功能相似，在同一基因上或附近的SNPs）验证MR三个假设（线性回归，Logistic回归，meta分析）分析SNPs与中间表型的相关性（+）分析SNPs与已知混杂因素的相关性（-）目标SNPs对结局的作用必须只能通过已知的研究表型PotentialproblemsandlimitationsofMendelianrandomisationstu

5、dyNon-linearassociationsWeakinstrumentsLinkagedisequilibriumPopulationstratificationundertakesubgroupanalyses6.Don’ttogainmechanisticinsights操作演示此课件下载可自行编辑修改，仅供参考！感谢您的支持，我们努力做得更好！谢谢