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Fast and Powerful Genome Wide Association Analysis of Dense Genetic Data with High Dimensional Imaging Phenotypes

Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Brian Donohue, Peter Kochunov, Thomas E. Nichols
doi: https://doi.org/10.1101/179150
Habib Ganjgahi
1Department of Statistics, University of Oxford, Oxford, UK
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Anderson M. Winkler
2Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
7Big Data Analytics Group, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
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David C. Glahn
4Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
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John Blangero
5South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
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Brian Donohue
3Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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Peter Kochunov
3Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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Thomas E. Nichols
2Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
8Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK
9Department of Statistics, University of Warwick, Coventry, UK
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  • For correspondence: thomas.nichols@bdi.ox.ac.uk
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Article Information

doi 
https://doi.org/10.1101/179150
History 
  • August 21, 2017.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

Author Information

  1. Habib Ganjgahi1,
  2. Anderson M. Winkler2,7,
  3. David C. Glahn4,
  4. John Blangero5,
  5. Brian Donohue3,
  6. Peter Kochunov3 and
  7. Thomas E. Nichols2,8,9,*
  1. 1Department of Statistics, University of Oxford, Oxford, UK
  2. 2Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
  3. 3Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
  4. 4Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
  5. 5South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
  6. 7Big Data Analytics Group, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
  7. 8Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK
  8. 9Department of Statistics, University of Warwick, Coventry, UK
  1. ↵*Correspondence should be addressed to T.E.N (thomas.nichols{at}bdi.ox.ac.uk)
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Posted August 21, 2017.
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Fast and Powerful Genome Wide Association Analysis of Dense Genetic Data with High Dimensional Imaging Phenotypes
Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Brian Donohue, Peter Kochunov, Thomas E. Nichols
bioRxiv 179150; doi: https://doi.org/10.1101/179150
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Fast and Powerful Genome Wide Association Analysis of Dense Genetic Data with High Dimensional Imaging Phenotypes
Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Brian Donohue, Peter Kochunov, Thomas E. Nichols
bioRxiv 179150; doi: https://doi.org/10.1101/179150

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