Reconstructability analysis of genetic loci associated with Alzheimer disease

Patricia Kramer, Shawn Westaway, Martin Zwick, Stephen Shervais

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages2104-2110
Number of pages7
DOIs
StatePublished - 2012
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: Nov 20 2012Nov 24 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CountryJapan
CityKobe
Period11/20/1211/24/12

Fingerprint

Education
Graph theory
Information theory

Keywords

  • Alzheimer Disease
  • bioinformatics
  • genetics
  • OCCAM
  • Reconstructability Analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Kramer, P., Westaway, S., Zwick, M., & Shervais, S. (2012). Reconstructability analysis of genetic loci associated with Alzheimer disease. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 2104-2110). [6505196] https://doi.org/10.1109/SCIS-ISIS.2012.6505196

Reconstructability analysis of genetic loci associated with Alzheimer disease. / Kramer, Patricia; Westaway, Shawn; Zwick, Martin; Shervais, Stephen.

6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 2104-2110 6505196.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kramer, P, Westaway, S, Zwick, M & Shervais, S 2012, Reconstructability analysis of genetic loci associated with Alzheimer disease. in 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012., 6505196, pp. 2104-2110, 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012, Kobe, Japan, 11/20/12. https://doi.org/10.1109/SCIS-ISIS.2012.6505196
Kramer P, Westaway S, Zwick M, Shervais S. Reconstructability analysis of genetic loci associated with Alzheimer disease. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 2104-2110. 6505196 https://doi.org/10.1109/SCIS-ISIS.2012.6505196
Kramer, Patricia ; Westaway, Shawn ; Zwick, Martin ; Shervais, Stephen. / Reconstructability analysis of genetic loci associated with Alzheimer disease. 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. pp. 2104-2110
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