Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study

Sungeun Kim, Li Shen, Andrew Saykin, John D. West

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

2 Citations (Scopus)

Abstract

Neuroimaging genomics is a new transdisciplinary research field, which aims to examine genetic effects on brain via integrated analyses of high throughput neuroimaging and genomic data. We report our recent work on (1) developing an imaging genomic browsing system that allows for whole genome and entire brain analyses based on visual exploration and (2) applying the system to the imaging genomic analysis of an existing MCI/AD cohort. Voxel-based morphometry is used to define imaging phenotypes. ANCOVA is employed to evaluate the effect of the interaction of genotypes and diagnosis in relation to imaging phenotypes while controlling for relevant covariates. Encouraging experimental results suggest that the proposed system has substantial potential for enabling discovery of imaging genomic associations through visual evaluation and for localizing candidate imaging regions and genomic regions for refined statistical modeling.

Original languageEnglish
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Pages3849-3852
Number of pages4
DOIs
StatePublished - 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

Fingerprint

Neuroimaging
Phenotype
Imaging techniques
Brain
Genomics
Genotype
Genome
Research
Genes
Throughput

Keywords

  • Genome-wide association study
  • Imaging genomics
  • Visual exploration
  • Voxel-based morphometry

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

Cite this

Kim, S., Shen, L., Saykin, A., & West, J. D. (2009). Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 3849-3852). [5332570] https://doi.org/10.1109/IEMBS.2009.5332570

Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study. / Kim, Sungeun; Shen, Li; Saykin, Andrew; West, John D.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 3849-3852 5332570.

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

Kim, S, Shen, L, Saykin, A & West, JD 2009, Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5332570, pp. 3849-3852, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 9/2/09. https://doi.org/10.1109/IEMBS.2009.5332570
Kim S, Shen L, Saykin A, West JD. Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 3849-3852. 5332570 https://doi.org/10.1109/IEMBS.2009.5332570
Kim, Sungeun ; Shen, Li ; Saykin, Andrew ; West, John D. / Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. pp. 3849-3852
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