Presentation
Reconstructability Analysis of Genetic Loci Associated with Alzheimer Disease
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems
(2012)
Abstract
Reconstructability Analysis (RA) is an information- and graph-theory-based method which has been successfully used in previous genomic studies. Here we apply it to genetic (14 SNPs) and non-genetic (Education, Age, Gender) data on Alzheimer disease in a well-characterized Case/Control sample of 424 individuals. We confirm the importance of APOE as a predictor of the disease, and identify one non-genetic factor, Education, and two SNPs, one in BINI and the other in SORCS1, as likely disease predictors. SORCS1 appears to be a common risk factor for people with or without APOE. We also identify a possible interaction effect between Education and BINI. Methodologically, we introduce and use to advantage some more powerful features of RA not used in prior genomic studies.
Disciplines
Publication Date
November, 2012
Location
Kobe, Japan
DOI
10.1109/SCIS-ISIS.2012.6505196
Citation Information
P. Kramer, S. K. Westaway, M. Zwick and S. Shervais, "Reconstructability analysis of genetic loci associated with Alzheimer disease," The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, Kobe, 2012, pp. 2104-2110.