Alzheimer Disease (AD) is a devastating neurodegenerative disorder and is the most common cause of dementia in the elderly. Much evidence suggests that AD clearly has a measurable genetic component. Many gene-mapping studies have found genes associated with AD but most of them have failed to replicate in follow-up studies. Even the confirmed genetic factors only explain a small amount of AD heritability, leaving most of the AD due to genetic factors unexplained. One reason for this Is that most studies on AD (and other complex diseases) only examine a single genetic variant at a time for association to AD. It Is l^nown, however, that gene-gene and gene-environment Interactions are ubiquitous, and likely play a role in human disease. This has been documented in model organisms, and when investigated properly, has been found to influence disease In humans. Yet most studies do not investigate Interactions among genetic and environmental factors that Influence AD risl

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31NS066638-01
Application #
7749639
Study Section
Special Emphasis Panel (ZRG1-F08-G (20))
Program Officer
Sieber, Beth-Anne
Project Start
2009-07-01
Project End
2011-06-30
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
1
Fiscal Year
2009
Total Cost
$26,019
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Physiology
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Moore, Carrie B; Wallace, John R; Frase, Alex T et al. (2013) BioBin: a bioinformatics tool for automating the binning of rare variants using publicly available biological knowledge. BMC Med Genomics 6 Suppl 2:S6
Turner, Stephen D; Dudek, Scott M; Ritchie, Marylyn D (2011) Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. Lect Notes Comput Sci 6238:394-403
Turner, Stephen D; Berg, Richard L; Linneman, James G et al. (2011) Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks. PLoS One 6:e19586
Turner, Stephen D; Bush, William S (2011) Multivariate analysis of regulatory SNPs: empowering personal genomics by considering cis-epistasis and heterogeneity. Pac Symp Biocomput :276-87
Holzinger, Emily R; Buchanan, Carrie C; Dudek, Scott M et al. (2010) Initialization Parameter Sweep in ATHENA: Optimizing Neural Networks for Detecting Gene-Gene Interactions in the Presence of Small Main Effects. Genet Evol Comput Conf 12:203-210
Turner, Stephen D; Dudek, Scott M; Ritchie, Marylyn D (2010) Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. Lect Notes Comput Sci 6023:86-97