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Related Experiment Video

Updated: Jul 14, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

Exploring candidate gene associations with neuropsychological performance.

Matthew B McQueen¹, Lars Bertram, Christoph Lange

¹Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, Colorado 80309-0447, USA. matthew.mcqueen@colorado.edu

American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics

|June 21, 2007

Summary

Using quantitative measures like cognitive test scores can improve the identification of Alzheimer's disease (AD) genetic risk factors. This study found associations between specific genes and cognitive changes over time in individuals with memory concerns.

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Area of Science:

Neurogenetics
Cognitive Neuroscience
Biostatistics

Background:

Identifying genetic risk factors for Alzheimer's disease (AD) is crucial for understanding disease mechanisms.
Traditional dichotomous disease phenotypes may lack the statistical power to detect subtle genetic influences.

Purpose of the Study:

To investigate whether quantitative phenotypes, specifically neuropsychological test scores, enhance the statistical power for identifying AD genetic risk factors.
To assess the association of known and putative AD genes with cross-sectional and longitudinal cognitive changes.

Main Methods:

Analysis of data from 365 community-recruited subjects with and without memory problems.
Utilized a detailed neuropsychological test battery with baseline and follow-up assessments.
Performed cross-sectional and longitudinal analyses using APOE and four other candidate AD genes.

Main Results:

APOE and an insulin degrading enzyme (IDE) polymorphism were associated with memory and cognitive function changes (P = 0.016-0.025).
APOE and an alpha-2-macroglobulin (A2M) polymorphism were associated with executive functioning changes (P = 0.010-0.042).
Longitudinal analysis sometimes provided stronger evidence for genetic associations than cross-sectional analysis.

Conclusions:

Quantitative phenotypes derived from neuropsychological tests show promise for increasing statistical power in AD genetic studies.
This approach may aid in discovering novel genetic risk factors for Alzheimer's disease.
Further methodological development is needed to address multiple comparisons in correlated data.