Multi-site genetic analysis of diffusion images and voxelwise heritability analysis

A pilot project of the ENIGMA-DTI working group

Neda Jahanshad, Peter V. Kochunov, Emma Sprooten, René C. Mandl, Thomas E. Nichols, Laura Almasy, John Blangero, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, Peter T Fox, L. Elliot Hong, Bennett A. Landman, Nicholas G. Martin, Katie L. McMahon, Sarah E. Medland, Braxton D. Mitchell, Rene L Olvera, Charles P. Peterson & 11 others John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson, David C. Glahn

Research output: Contribution to journalArticle

169 Citations (Scopus)

Abstract

The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA-DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18-85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/).

Original languageEnglish (US)
Pages (from-to)455-469
Number of pages15
JournalNeuroImage
Volume81
DOIs
StatePublished - Nov 1 2013

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Diffusion Tensor Imaging
Anisotropy
Neuroimaging
Meta-Analysis
Brain
Genome-Wide Association Study
Pedigree
North America
Genotype
Water
Population

Keywords

  • Diffusion Tensor Imaging (DTI)
  • Heritability
  • Imaging genetics
  • Meta-analysis
  • Multi-site
  • Reliability

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology
  • Medicine(all)

Cite this

Jahanshad, N., Kochunov, P. V., Sprooten, E., Mandl, R. C., Nichols, T. E., Almasy, L., ... Glahn, D. C. (2013). Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group. NeuroImage, 81, 455-469. https://doi.org/10.1016/j.neuroimage.2013.04.061

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis : A pilot project of the ENIGMA-DTI working group. / Jahanshad, Neda; Kochunov, Peter V.; Sprooten, Emma; Mandl, René C.; Nichols, Thomas E.; Almasy, Laura; Blangero, John; Brouwer, Rachel M.; Curran, Joanne E.; de Zubicaray, Greig I.; Duggirala, Ravi; Fox, Peter T; Hong, L. Elliot; Landman, Bennett A.; Martin, Nicholas G.; McMahon, Katie L.; Medland, Sarah E.; Mitchell, Braxton D.; Olvera, Rene L; Peterson, Charles P.; Starr, John M.; Sussmann, Jessika E.; Toga, Arthur W.; Wardlaw, Joanna M.; Wright, Margaret J.; Hulshoff Pol, Hilleke E.; Bastin, Mark E.; McIntosh, Andrew M.; Deary, Ian J.; Thompson, Paul M.; Glahn, David C.

In: NeuroImage, Vol. 81, 01.11.2013, p. 455-469.

Research output: Contribution to journalArticle

Jahanshad, N, Kochunov, PV, Sprooten, E, Mandl, RC, Nichols, TE, Almasy, L, Blangero, J, Brouwer, RM, Curran, JE, de Zubicaray, GI, Duggirala, R, Fox, PT, Hong, LE, Landman, BA, Martin, NG, McMahon, KL, Medland, SE, Mitchell, BD, Olvera, RL, Peterson, CP, Starr, JM, Sussmann, JE, Toga, AW, Wardlaw, JM, Wright, MJ, Hulshoff Pol, HE, Bastin, ME, McIntosh, AM, Deary, IJ, Thompson, PM & Glahn, DC 2013, 'Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group', NeuroImage, vol. 81, pp. 455-469. https://doi.org/10.1016/j.neuroimage.2013.04.061
Jahanshad, Neda ; Kochunov, Peter V. ; Sprooten, Emma ; Mandl, René C. ; Nichols, Thomas E. ; Almasy, Laura ; Blangero, John ; Brouwer, Rachel M. ; Curran, Joanne E. ; de Zubicaray, Greig I. ; Duggirala, Ravi ; Fox, Peter T ; Hong, L. Elliot ; Landman, Bennett A. ; Martin, Nicholas G. ; McMahon, Katie L. ; Medland, Sarah E. ; Mitchell, Braxton D. ; Olvera, Rene L ; Peterson, Charles P. ; Starr, John M. ; Sussmann, Jessika E. ; Toga, Arthur W. ; Wardlaw, Joanna M. ; Wright, Margaret J. ; Hulshoff Pol, Hilleke E. ; Bastin, Mark E. ; McIntosh, Andrew M. ; Deary, Ian J. ; Thompson, Paul M. ; Glahn, David C. / Multi-site genetic analysis of diffusion images and voxelwise heritability analysis : A pilot project of the ENIGMA-DTI working group. In: NeuroImage. 2013 ; Vol. 81. pp. 455-469.
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AU - Almasy, Laura

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AU - Brouwer, Rachel M.

AU - Curran, Joanne E.

AU - de Zubicaray, Greig I.

AU - Duggirala, Ravi

AU - Fox, Peter T

AU - Hong, L. Elliot

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AU - Medland, Sarah E.

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AU - Olvera, Rene L

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AU - Wardlaw, Joanna M.

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AU - Bastin, Mark E.

AU - McIntosh, Andrew M.

AU - Deary, Ian J.

AU - Thompson, Paul M.

AU - Glahn, David C.

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