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UID:20260906T002906EDT-3179KPjEaD@132.216.98.100
DTSTAMP:20260906T042906Z
DESCRIPTION:Constrained Instruments and their Application to Mendelian Rand
 omization with Pleiotropy.\n\nIn Mendelian randomization\, genetic variant
 s are used to construct instrumental variables to estimate the causal effe
 ct of a phenotype of interest on a disease outcome. However\, Pleiotropy o
 ccurs when a genetic variant influence the response though multiple phenot
 ypes of interest\, and therefore renders it an invalid instrumental variab
 le in MR studies. We propose a novel Smoothed Constrained Instrumental Var
 iable (CIV_smooth) method to construct valid instrumental variables while 
 correcting for pleiotropic phenotypes. In a series of simulation studies\,
  we show that our method leads to causal effect estimation with reduced bi
 as compared with popular methods. Finally\, we analyzed Alzheimer’s diseas
 e data from Alzheimer’s disease (AD) Neuroimaging Initiative (ADNI) study\
 , and identified significant causal effect of Amyloid beta on AD progressi
 on using CIV_smooth method. However\, in view of the limitations of this s
 tudy\, we understand further work are still needed to make substantive cau
 sal statements.\n
DTSTART:20180322T190000Z
DTEND:20180322T200000Z
LOCATION:Room PK-5115 \, CA\, UQAM\, Pavillon Kennedy
SUMMARY:Lai Jiang\, McGill University
URL:https://www.mcgill.ca/mathstat/channels/event/lai-jiang-mcgill-universi
 ty-285893
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