Research Using the NACC Database

A liability model to increase power in genome-wide association

 
   Lead Investigator:    Jesse Mez
   Institution      :    Boston University Alzheimer's Disease Center
   E-Mail           :    jessemez@bu.edu
   Proposal ID      :    407


   Publications:


1  Farrer L
   Alzheimer Disease Genetic Architecture in African Americans
   42050   Grant  National Institute of Health (NIH)   R01 AG048927   , 

   PUBLISHED



2  Mez J
   Genetic and Neuropsychological Heterogeneity in Alzheimer's Disease
   41866   Grant  National Institute of Health (NIH)   K23 AG046377   , 

   PUBLISHED



3  Mez J, Chung J, Jun G, Kriegel J, Bourlas AP, Sherva R, Logue MW, Barnes LL, Bennett DA, Buxbaum JD, Byrdi GS, Crane PK, Ertekin-Taner N, Evans D, Fallin MD, Foroud T, Goate A, Graff-Radford NR, Hall KS, Kamboh MI,  Kukull WA , Larson EB, Manly JJ,  Alzheimer Disease Genetics Consortium , Haines JL, Mayeux R, Pericak-Vancet MA, Schellenberg GD, Lunetta KL, Farrer LA
   Two novel loci, COBL and SLC10A2, for Alzheimer's disease in African Americans
   Journal Article  Alzheimers Dement,13:119-129,2017,PMC5318231

   PUBLISHED





   Proposal Description:
   We hypothesize that using a quantitative phenotype derived from a liability model that includes clinical and genetic covariates will allow us to detect additional SNPs that contribute to incidence of AD. Given our success using this approach in a smaller African American dataset, we propose 1) to carry out   genome-wide association in ADGC African American cases and controls using residuals from a liability model as a quantitative phenotype. If this approach proves successful, we propose 2) to take the same approach in ADGC white cases and controls.