Imaging genomics

Thompson, Paul M., Martin, Nicholas G. and Wright, Margaret J. (2010) Imaging genomics. Current Opinion in Neurology, 23 4: 368-373. doi:10.1097/WCO.0b013e32833b764c

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Author Thompson, Paul M.
Martin, Nicholas G.
Wright, Margaret J.
Title Imaging genomics
Journal name Current Opinion in Neurology   Check publisher's open access policy
ISSN 1350-7540
Publication date 2010-08
Sub-type Article (original research)
DOI 10.1097/WCO.0b013e32833b764c
Volume 23
Issue 4
Start page 368
End page 373
Total pages 6
Place of publication Philadelphia, PA, U.S.A.
Publisher Lippincott Williams & Wilkins
Collection year 2011
Language eng
Formatted abstract
Purpose of review
Imaging genomics is an emerging field that is rapidly identifying genes that influence the brain, cognition, and risk for disease. Worldwide, thousands of individuals are being scanned with high-throughput genotyping (genome-wide scans), and new imaging techniques [high angular resolution diffusion imaging and resting state functional magnetic resonance imaging (MRI)] that provide fine-grained measures of the brain’s structural and functional connectivity. Along with clinical diagnosis and cognitive testing, brain imaging offers highly reproducible measures that can be subjected to genetic analysis.

Recent findings

Recent studies of twin, pedigree, and population-based datasets have discovered
several candidate genes that consistently show small to moderate effects on brain
measures. Many studies measure single phenotypes from the images, such as
hippocampal volume, but voxel-wise genomic methods can plot the profile of genetic
association at each 3D point in the brain. This exploits the full arsenal of imaging
statistics to discover and replicate gene effects.


Imaging genomics efforts worldwide are now working together to discover and replicate many promising leads. By studying brain phenotypes closer to causative gene action, larger gene effects are detectable with realistic sample sizes obtainable from metaanalysis of smaller studies. Imaging genomics has broad applications to dementia, mental illness, and public health.
(c) 2010 Wolters Kluwer Health | Lippincott Williams & Wilkins

Keyword Diffusion imaging
Genome-wide association study
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Medicine Publications
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Citation counts: TR Web of Science Citation Count  Cited 41 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 45 times in Scopus Article | Citations
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Created: Wed, 30 Mar 2011, 07:09:10 EST by Debbie Banks on behalf of School of Medicine