Data synthesis and tool development for exploring imaging genomic patterns

2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2009 - Proceedings

Volumn , Issue , 2009, Pages 298-305

  Kim, Sungeun ^a   Shen, Li ^a   Saykin, Andrew J ^a   West, John D ^a  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGING; BRAIN STRUCTURE; BROWSING SYSTEMS; COMPUTATIONAL CHALLENGES; DATA SETS; DATA SYNTHESIS; GENETIC VARIATION; GENOMIC DATA; GENOMIC PATTERNS; HIGH THROUGHPUT GENOTYPING; HIGH-DIMENSIONAL IMAGES; JOINT ANALYSIS; NEURO-IMAGING; NEW APPROACHES; TOOL DEVELOPMENT; VISUAL EVALUATION;

ARTIFICIAL INTELLIGENCE; BIOLOGY; SYNTHESIS (CHEMICAL);

BIOINFORMATICS;

EID: 67650381824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2009.4925742     Document Type: Conference Paper

References (23)

1. J. Lind, A. Larsson, J. Persson, M. Ingvar, L. G. Nilsson, L. Bckman, R. Adolfsson, M. Cruts, K. Sleegers, C. Van Broeckhoven, and L. Nyberg, "Reduced hippocampal volume in non-demented carriers of the apolipoprotein E epsilon4: relation to chronological age and recognition memory," Neurosci Lett., Vol. 396, pp. 23-7, 2006. (Pubitemid 43233781)
2. H. A. Wishart, A. J. Saykin, L. A. Rabin, R. B. Santulli, L. A. Flashman, S. Guerin, A. C. Mamourian, D. Belloni, C. H. Rhodes, and T. W. McAllister, "Increased prefrontal activation during working memory in cognitively intact APOE E4 carriers," American Journal of Psychiatry, Vol. 163, pp. 1603-1610, Sep. 2006. (Pubitemid 44465762)
3. R. H. Ahmad, M. D. Emily, and R. W. Daniel, "Imaging genetics: Perspectives from studies of genetically driven variation in serotonin function and corticolimbic affective processing," Biological Psychiatry, Vol. 59, pp. 888-897, 2006.
4. D. C. Glahn, P. M. Thompson, and J. Blangero, "Neuroimaging endophenotypes: Strategies for finding genes influencing brain structure and function," Human Brain Mapping, Vol. 28, pp. 488-501, 2007. (Pubitemid 46849366)
5. S. Seshadri, A. DeStefano, R. Au, J. Massaro, A. Beiser, M. Kelly- Hayes, C. Kase, R. D'Agostino, C. DeCarli, L. Atwood, and P. Wolf, "Genetic correlates of brain aging on MRI and cognitive test measures: a genome-wide association and linkage analysis in the framingham study," BMC Medical Genetics, Vol. 8, p. S15, 2007. (Pubitemid 351958746)
6. L. Shen, A. J. Saykin, M. K. Chung, and H. Huang, "Morphometric analysis of hippocampal shape in mild cognitive impairment: An imaging genetics study," in IEEE 7th International Symposium on Bioinformatics & Bioengineering, Oct. 2007, pp. 211-217.
7. E. Viding, D. E. Williamson, and A. R. Haririb, "Developmental imaging genetics: Challenges and promises for translational research," Development and Psychopathology, Vol. 18, pp. 877-892, 2006. (Pubitemid 44445166)
8. D. J. Balding, "A tutorial on statistical methods for population association studies," Nat Rev Genet, Vol. 7, pp. 781-91, 2006. (Pubitemid 44413222)
9. J. N. Hirschhorn and M. J. Daly, "Genome-wide association studies for common diseases and complex traits," Nat Rev Genet, Vol. 6, pp. 95-108, 2005. (Pubitemid 40179532)
10. S. Purcell, B. Neale, K. Todd-BrownL. Thomas, M. A. Ferreira, D. Bender et al., "PLINK: a tool set for whole-genome association and population-based linkage analyses," Am J Hum Genet, Vol. 81, pp. 559-75, 2007. (Pubitemid 47330214)
11. K. T. Zondervan and L. R. Cardon, "Designing candidate gene and genome-wide case-control association studies," Nat Protoc, Vol. 2, pp. 2492-501, 2007.
12. NAMIC, "3D slicer web page," Available at http://www.slicer. org, accessed on March 31, 2008.
13. D. M. Reif, S. M. Dudek, C. M. Shaffer, J. Wang, and J. H. Moore, "Exploratory visual analysis of pharmacogenomic results," in Pacific Symposium on Biocomputing, 2005, pp. 296-307.
14. D. M. Reif, M. A. Israel, and J. H. Moore, "Exploratory visual analysis of statistical results from microarray experiments comparing high and low grade glioma," Cancer Informatics, Vol. 2, pp. 19-24, 2007.
15. ADNI, "The alzheimer's disease neuroimaging initiative (ADNI)," Available at http://www.adni-info.org/, accessed on November 10, 2008.
16. Illumina, "Whole-genome genotyping & cnv analysis: human610-quad beadchip," Available at http://www.illumina.com/pages.ilmn?ID=248, accessed on November 10, 2008.
17. C. Stern, "The Hardy-Weinberg law," Science, Vol. 97, pp. 137-138, 1943.
18. J. Ashburner and K. Friston, "Voxel-based morphometry-the methods," NeuroImage, Vol. 11, pp. 805-821, 2000.
19. A. J. Saykin, H. A. Wishart, L. A. Rabin et al., "Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI," Neurology, Vol. 67, pp. 834-842, 2006. (Pubitemid 44394199)
20. J. Ashburner and K. Friston, "Why voxel-based morphometry should be used," NeuroImage, Vol. 14, pp. 1238-1243, 2001. (Pubitemid 33124172)
21. Wellcome Department of Imaging Neuroscience, London, UK, "The statistical parametric mapping software package," Available at http://www.fil.ion.ucl.ac.uk/spm/, accessed on March 31, 2008.
22. N. Tzourio-Mazoyer B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, and M. Joliot, "Automated anatomical labelling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain," NeuroImage, Vol. 15, pp. 273-289, 2002. (Pubitemid 34852226)
23. M. D. Ritchie, "genomeSIMLA," Available at http://chgr.mc. vanderbilt.edu/genomeSIMLA, accessed on December 31, 2008.