Identification of Cognitive Endophenotypes

 
   Lead Investigator:    Kathleen Hayden
   Institution      :    Duke
   E-Mail           :    khayden@duke.edu
   Proposal ID      :    372


   Publications:


1  Hayden KM, Jones RN, Zimmer C, Plassman B, Browndyke JN, Pieper C, Warren LH, Welsh-Bohmer KA
   Factor Structure of the National Alzheimer's Coordinating Centers Uniform Dataset Neuropsychological Battery: An evaluation of invariance between and within groups over time
   Journal Article  Alzheimer Dis Assoc Disord,25:128-137,2011,PMC3101374

   PUBLISHED



2  Hayden KM, Kuchibhatla M, Plassman BL, Romero HR, Burke JR, Welsh-Bohmer KA
   Pre-clinical cognitive phenotypes for Alzheimer's disease: a latent profile approach
   Abstract  Alzheimers Dement,8:P363,2012,

   PUBLISHED



3  Hayden KM, Kuchibhatla M, Romero HR, Plassman BL, Burke JR, Browndyke JN, Welsh-Bohmer KA
   Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach
   Journal Article  Am J Geriatr Psychiatry,22:1364-1374,2014,PMC3968245

   PUBLISHED



4  Hayden KM, Warren LH, Plassman B, Browndyke J, Pieper C, Sanders L, Welsh-Bohmer KA
   Neuropsychological Domains in Mild Cognitive Impairment and Normal Aging: Results from the NACC UDS Study
   Abstract  Alzheimers Dement,5:P448,2009,

   PUBLISHED





   Proposal Description:
   Development of cognitive endophenotypes for genetic studies of Alzheimer's disease (AD) and other dementias is a growing area of research. Cognitive endophenotypes can be conceptualized as representing sub-clinical (or pre-clinical) phenotypes associated with dementia. Endophenotypes have potential for use in genetic studies to refine samples, in epidemiological studies to study   environmental influences over time, and in clinical trials where clinicians may seek a specifically refined sample of participants at risk for disease. Previous efforts to identify patterns of cognition associated with various dementia phenotypes have been hampered by small samples with limited neuropsychological assessment data. The National Alzheimer???s Coordinating Center (NACC) data   repository presents an opportunity to address small sample problems by providing a large data set, collected with rigorous standardized methods, for cognitive endophenotype development. We propose to perform secondary data analyses on NACC neuropsychological assessment data to determine cross-sectional patterns of cognitive performance to facilitate identification of archetypal endophenotypic patterns and cognitive phenotypes by stage and disease type. The project will use factor analysis and latent class analysis methods. The goal of the project is to utilize the detailed neuropsychological data available from the NACC samples as a hypothesis generating preliminary data set for an ongoing study of cognitive endophenotypes.