OpenLB
Open Library of Bioscience
Advanced Search
IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology proceedings. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
Mar 30, 2009;2009 298-305.

Data Synthesis and Tool Development for Exploring Imaging Genomic Patterns.

Sungeun Kim, Li Shen, Andrew J Saykin, John D West
Author Information
PMID: 21461341 DOI: 10.1109/CIBCB.2009.4925742

Abstract

Recent advances in brain imaging and high throughput genotyping techniques enable new approaches to study the influence of genetic variation on brain structure and function. However, major computational challenges are bottlenecks for comprehensive joint analysis of these high-dimensional image and genomic data. We report our initial progress in developing an imaging genomic browsing system for integrated exploration of neuroimaging and genomic data. We describe a method for synthesizing a set of realistic neuroimaging and genomic data, where the relationships between imaging phenotypes and genotypes are known. This data set is used to demonstrate the functionality of our system, which is designed for effectively exploring the neuroanatomical distribution of statistical results that measure the associations between brain imaging phenotypes and genotypes on a genome-wide scale. The proposed system has substantial potential for enabling discovery of important imaging genomic associations through visual evaluation and can be extended towards several directions.

References

  1. Dev Psychopathol. 2006 Summer;18(3):877-92 [PMID: 17152405]
  2. Neuroimage. 2000 Jun;11(6 Pt 1):805-21 [PMID: 10860804]
  3. Nat Protoc. 2007;2(10):2492-501 [PMID: 17947991]
  4. Pac Symp Biocomput. 2005;:296-307 [PMID: 15759635]
  5. Hum Brain Mapp. 2007 Jun;28(6):488-501 [PMID: 17440953]
  6. Neurology. 2006 Sep 12;67(5):834-42 [PMID: 16966547]
  7. Nat Rev Genet. 2006 Oct;7(10):781-91 [PMID: 16983374]
  8. Am J Psychiatry. 2006 Sep;163(9):1603-10 [PMID: 16946187]
  9. Nat Rev Genet. 2005 Feb;6(2):95-108 [PMID: 15716906]
  10. BMC Med Genet. 2007 Sep 19;8 Suppl 1:S15 [PMID: 17903297]
  11. Am J Hum Genet. 2007 Sep;81(3):559-75 [PMID: 17701901]
  12. Neurosci Lett. 2006 Mar 20;396(1):23-7 [PMID: 16406347]
  13. Neuroimage. 2002 Jan;15(1):273-89 [PMID: 11771995]
  14. Science. 1943 Feb 5;97(2510):137-8 [PMID: 17788516]
  15. Neuroimage. 2001 Dec;14(6):1238-43 [PMID: 11707080]
  16. Biol Psychiatry. 2006 May 15;59(10):888-97 [PMID: 16442081]
  17. Cancer Inform. 2007;5:19-24 [PMID: 19390666]

Grants

  1. R03 EB008674-01/NIBIB NIH HHS
  2. R03 EB008674/NIBIB NIH HHS
  3. R01 AG019771-01/NIA NIH HHS
  4. R01 CA101318/NCI NIH HHS
  5. R01 CA101318-02/NCI NIH HHS
  6. R01 AG019771/NIA NIH HHS
  7. U54 EB005149/NIBIB NIH HHS
  8. U54 EB005149-010013/NIBIB NIH HHS
Journal Article

Word Cloud

Created with Highcharts 10.0.0imaginggenomicdatabrainsystemneuroimagingsetphenotypesgenotypesassociationsRecentadvanceshighthroughputgenotypingtechniquesenablenewapproachesstudyinfluencegeneticvariationstructurefunctionHowevermajorcomputationalchallengesbottleneckscomprehensivejointanalysishigh-dimensionalimagereportinitialprogressdevelopingbrowsingintegratedexplorationdescribemethodsynthesizingrealisticrelationshipsknownuseddemonstratefunctionalitydesignedeffectivelyexploringneuroanatomicaldistributionstatisticalresultsmeasuregenome-widescaleproposedsubstantialpotentialenablingdiscoveryimportantvisualevaluationcanextendedtowardsseveraldirectionsDataSynthesisToolDevelopmentExploringImagingGenomicPatterns

Similar Articles

Cited By (2)