Multi-Site Genetic Analysis of 1151 Diffusion MRI Scans from the ENIGMA–DTI Working Group Neda Jahanshad 1#, Peter Kochunov 2#, Emma Sprooten 3,4, René.

Slides:



Advertisements
Similar presentations
Imaging Methods: Gait, Cognition and Mood Richard Camicioli MD University of Alberta Edmonton, Alberta
Advertisements

Genetic research designs in the real world Vishwajit L Nimgaonkar MD, PhD University of Pittsburgh
Meta-analysis for GWAS BST775 Fall DEMO Replication Criteria for a successful GWAS P
Mapping Genetic Risk of Suicide Virginia Willour, Ph.D.
The search process: A way to rank endophenotypes (e) for relevance to a disease (i) phenotype.
The Inheritance of Complex Traits
Reproducibility of diffusion tractography E Heiervang 1,2, TEJ Behrens 1, CEM Mackay 3, MD Robson 3, H Johansen-Berg 1 1 Centre for Functional MRI of the.
DTI-Based White Matter Fiber Analysis and Visualization Jun Zhang, Ph.D. Laboratory for Computational Medical Imaging & Data Analysis Laboratory for High.
1 FSTL4 and SEMA5A are associated with alcohol dependence: meta- analysis of two genome-wide association studies Kesheng Wang, PhD Department of Biostatistics.
Update on Genetics in Hypertension Christian Delles BHF Glasgow Cardiovascular Research Centre Institute of Cardiovascular and Medical Sciences University.
Connectivity between MS lesion density and cortical thickness Keith Worsley Arnaud Charil Jason Lerch Department of Mathematics and Statistics, McConnell.
A Classification-based Glioma Diffusion Model Using MRI Data Marianne Morris 1,2 Russ Greiner 1,2, Jörg Sander 2, Albert Murtha 3, Mark Schmidt 1,2 1 Alberta.
Multi-site Investigation of DTI Reproducibility K. G. Helmer 1, M-C. Chou 2, A. Song 3, J. Turner 4, B. Gimi 5, and S. Mori 6 1 Massachusetts General Hospital,
Accounting for age-specific sex-limitation in IgE QTL linkage analysis: example of 11p13 Manuel A R Ferreira, David Duffy & Nick Martin Queensland Institute.
Preprocessing II: Between Subjects John Ashburner Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London, UK.
Brain Changes in 676 ADNI subjects: Summary of 10 Studies using Tensor Based Morphometry & Automated Hippocampal Maps Paul Thompson and the UCLA ADNI.
Coupled change in brain white matter integrity and fluid intelligence in later life Stuart J. Ritchie Centre for Cognitive Ageing and Cognitive Epidemiology.
Model-based Automatic AC/PC Detection on Three-dimensional MRI Scans Babak A. Ardekani, Ph.D., Alvin H. Bachman, Ph.D., Ali Tabesh, Ph.D. The Nathan S.
Understanding Genetics of Schizophrenia
Chapter 7 Multifactorial Traits
Higher BMI (body mass index) is linked to greater brain atrophy in 700 MCI and AD patients, and in healthy elderly ADNI (N=587,critical P-value: 0.025)
MNTP Trainee: Georgina Vinyes Junque, Chi Hun Kim Prof. James T. Becker Cyrus Raji, Leonid Teverovskiy, and Robert Tamburo.
Diffusion-Tensor Imaging Tractography: Correlation with Processing Speed in Aging Stephen Correia 1, Stephanie Y. Lee 2, Song Zhang 2, Stephen P. Salloway.
Automatic Brain Segmentation in Rhesus Monkeys February 2006, SPIE Medical Imaging 2006 Funding provided by UNC Neurodevelopmental Disorders Research Center.
Introduction to BST775: Statistical Methods for Genetic Analysis I Course master: Degui Zhi, Ph.D. Assistant professor Section on Statistical Genetics.
Copyright © 2010, Pearson Education Inc., All rights reserved.  Prepared by Katherine E. L. Norris, Ed.D.  West Chester University This multimedia product.
Paul M. Thompson1 on behalf of the ENIGMA Consortium2
A New Method for Mapping the Linkage between Abnormal Gray Matter Loss and the Clinical and Cognitive Deficits in Childhood-Onset Schizophrenia 1 Christine.
Evaluation of Multi-Center Diffusion Tensor Imaging VA Magnotta 1, GS Bonett 1, J Turner 6, B Mueller 2, A Juhl 1, K Lim 2, S Reading 3, E Aylward 5, M.
Gene 210 Genetics of Neurodevelopmental and Neurospychiatric disorders
MARC Project 4: Australian Children of Alcoholic Female Twins.
A Connected Digital Biomedical Research Enterprise with Big Data Belinda Seto, Ph.D. Deputy Director National Eye Institute.
Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses David H. Laidlaw 1, Song Zhang 1, Mark Bastin 2,3, Stephen Correia 4, Stephen.
Trade-offs between Angular and Spatial Resolution in High Angular Resolution Diffusion Imaging Liang Zhan 1, Neda Jahanshad 1, Alex D. Leow 2,3, Matt A.
Tract-Based Spatial Statistics of Diffusion Tensor Imaging in Adult Dyslexia Todd Richards 1, Jeff Stevenson 1, James Crouch 2, L. Clark Johnson 3, Kenneth.
Epigenetics Heritable characteristics of the genome other than the DNA sequence Heritable during cell-division (mitosis) To a lesser extent also over generations.
Copyright © 2010, Pearson Education Inc., All rights reserved.  Prepared by Katherine E. L. Norris, Ed.D.  West Chester University This multimedia product.
NA-MIC National Alliance for Medical Image Computing DTI Atlas Registration via 3D Slicer and DTI-Reg Martin Styner, UNC Clement Vachet,
Gene Hunting: Linkage and Association
References: [1]S.M. Smith et al. (2004) Advances in functional and structural MR image analysis and implementation in FSL. Neuroimage 23: [2]S.M.
Diffusion Tensor Imaging: The Nitty Gritty Brought to you by: Meenal and Erica November 2, 2010.
Neuroinformatics challenges in MRI data integration Hugo Schnack Rudolf Magnus Institute of Neuroscience Department of Psychiatry University Medical Centre.
Fiber Demixing with the Tensor Distribution Function avoids errors in Fractional Anisotropy maps Liang Zhan 1,Alex D. Leow 2,3, Neda Jahanshad 1, Arthur.
INTRODUCTION Chronic pain is associated with cortical functional, neurochemical and morphological changes (Grachev et al., 2002, Apkarian et al., 2004).
Ventricular shape of monozygotic twins discordant for schizophrenia reflects vulnerability 2 M Styner, 1,2 G Gerig, 3 DW Jones, 3 DR Weinberger, 1 JA Lieberman.
Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.
Psychiatric Disorder: Is It All In The Genes? Why might a disorder run in families? §Shared genes §Shared environment §A combination of the two.
Lateralized change of ventricular shape in monozygotic twins discordant for schizophrenia 2 M Styner, 1,2 G Gerig, 3 DW Jones, 3 DR Weinberger, 1 JA Lieberman.
Microstructural White Matter Abnormalities and Cognitive Functioning in Type 2 Diabetes A Diffusion Tensor Imaging Study Featured Article: Yael D. Reijmer,
NA-MIC National Alliance for Medical Image Computing Mental Illness and Neuroscience Discovery (MIND) Consortium Data Randy L. Gollub,
Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skill Heidi Johansen-Berg 1, Valeria Della-Maggiore 3, Steve Smith.
Thompson Lab’s Genetic findings in ADNI Sept Paul Thompson’s Lab* and the ADNI MRI & Genetics Cores *Jason Stein, April Ho, Xue Hua, Suh Lee, Alex.
Subjects are registered to a template using affine transformations. These affine transformations are used to align the tracts passing through the splenium.
Jingwen Zhang1, Hongtu Zhu1,2, Joseph Ibrahim1
The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL FVGWAS: Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data Tutorial: pipeline,
NA-MIC National Alliance for Medical Image Computing Analysis and Results of Brockton VA study: Controls vs Schizophrenics Personality Disorder Martin.
Quantitative genetics
Neural Correlates of White Matter Integrity in Tinnitus: Tract-Based Spatial Statistics Fahad Alhazmi PhD student.
Department of Psychiatry, Washington University School of Medicine
All in the Family The Shared and Distinctive Causes of Personality and Well-Being Chris C. Martin & Corey L. M. Keyes | Department of Sociology,
RESULTS AND DISCUSSION
A Healthy Mind in a Healthy Body – Association between Level and Change in Physical Fitness and Brain Atrophy Benjamin Aribisala Brain Research Imaging.
Michael W. Smith, Nick Patterson, James A. Lautenberger, Ann L
Subjects and image data
Genome-wide Analysis of Body Proportion Classifies Height-Associated Variants by Mechanism of Action and Implicates Genes Important for Skeletal Development 
Danielle Posthuma, Michelle Luciano, Eco J. C. de Geus, Margie J
Heritability of Subjective Well-Being in a Representative Sample
Ca2+ infusion rates during all three protocol versions.
Results from the ROI-restricted TBSS group analysis for the right dorsal cingulum. Results from the ROI-restricted TBSS group analysis for the right dorsal.
Presentation transcript:

Multi-Site Genetic Analysis of 1151 Diffusion MRI Scans from the ENIGMA–DTI Working Group Neda Jahanshad 1#, Peter Kochunov 2#, Emma Sprooten 3,4, René C. Mandl 5, Thomas E. Nichols 6,7, Laura Almasy 8, John Blangero 8, Rachel M. Brouwer 4, Joanne E. Curran 8, Greig I. de Zubicaray 9, Ravi Duggirala 8, Peter T. Fox 10, L. Elliot Hong 2, Bennett A. Landman 11, Nicholas G. Martin 12, Katie L. McMahon 13, Sarah E. Medland 12, Braxton D. Mitchell 14, Rene L. Olvera 10, Charles P. Peterson 8, John M. Starr 15, Jessika E. Sussmann 4, Arthur W. Toga 1, Joanna M. Wardlaw 15, Margaret J. Wright 12, Hilleke E. Hulshoff Pol 5, Mark E. Bastin 4,15, Andrew M. McIntosh 4, Ian J. Deary 15, Paul M. Thompson 1* and David C. Glahn 3 Joint work with UCLA, U. MD, U. Edinburgh, UMC Utrecht, U. Warwick, Vanderbilt, U. TX San Antonio, U. Queensland, QTIM, Yale

Meta analysis for genetic studies A search for “meta-analysis” revealed 400+ articles in Nature Genetics in the last 10 years! – ~20%!! What is meta-analysis? Genetics - MA  Important discoveries for: – AD/neurodegeneration – Psychiatric disorders – Behavior and cognition

Meta analysis for genetic studies Imaging Stein et al., 2012 Bis et al., 2012, Ikram et al., 2012, Taal et al, ,000+ Images!

Genome-wide association study (GWAS) with imaging phenotypes (ICV) Genome-wide significance threshold Image courtesy of Dr. Jason Stein (that guy  )

White Matter - Heritability, Risk Genes DTI

GWAS using DTI phenotypes Single site studies of white matter integrity – Global measure of FA – General factor of FA Top SNPs in candidate pathways No “genome-wide” significant findings – Relatively small sample sizes – N~150, N~700

Multi-site DTI Greatly increase the number of subjects – Genome wide significance? Would a tract from one study be the same as a tract from another? How reliable are the tracts in terms of imaging protocol and resolution DTI reliability studies – Magnotta et al., 2012 – Jahanshad et al., 2010,2012 – Zhan et al., 2012 – Walker et al., 2012 – Teipel et al., 2011 Planning studies, not merging existing data

Combining DTI - Initial Steps Create common template Widely used tract based spatial statistics skeletonization – (Smith et al., 2006) FSL --

LBC1936 – Scanner: GE – Field Strength: 1.5T – Voxel size (mm): 2.0x2.0x2.0 – N-gradients: 64 GOBS – Scanner: Siemens – Field Strength: 3T – Voxel size (mm): 1.7x1.7x3 – N-gradients: 55 BFS – Scanner: GE – Field Strength: 1.5T – Voxel size (mm): 2.5x2.5x2.5 – N-gradients: 64 QTIM – Scanner: Bruker – Field Strength: 4T – Voxel size (mm): 1.8x1.8x2 – N-gradients: 94 UMCU – Scanner: Achieva – Field Strength: 1.5T – Voxel size (mm): 2.5x2.5x2.5 – N-gradients: 32

Multi-site DTI GWAS Would tracts from different populations or datasets even be similarly heritable? – Blokland et al., 2012 Could they be used as endophenotypes for GWAS regardless of protocol?

Let’s find out! Multi-site heritability analysis E CA A CE Twin1 Twin2 e c a a c e QTIM – 292 Australian twins of European ancestry (146 pairs) – 68 monozygotic (MZ) pairs, and 78 dizygotic (DZ) – 106 male/ 186 female – mean age 23.0 (SD = 2.0 ; range = 21-29). GOBS – 859 Mexican-American individuals from 73 extended pedigrees (average size 17.2 people, range = 1-247) – 351 men/508 women – mean age of 43.2 (SD = 15.0; range = 19-85).

ROI heritability results

Meta-analysis of heritability

Mega-analysis of heritability N=1151

Single Site GWAS Q-Q plots

1.Preprocessing – Initial quality control – Creating FA maps 2.Registration to template and skeletonization – Intermediate QC – Projection distance 3.ROI extraction 4.Final quality control – Visual inspection of images – Histograms and outlier detection 5.GWAS / Other analysis

Acknowledgements ENIGMA DTI sites Join ENIGMA US/Australia/European funding agencies Peter Kochunov 2#, Emma Sprooten 3,4, René C. Mandl 5, Thomas E. Nichols 6,7, Laura Almasy 8, John Blangero 8, Rachel M. Brouwer 4, Joanne E. Curran 8, Greig I. de Zubicaray 9, Ravi Duggirala 8, Peter T. Fox 10, L. Elliot Hong 2, Bennett A. Landman 11, Nicholas G. Martin 12, Katie L. McMahon 13, Sarah E. Medland 12, Braxton D. Mitchell 14, Rene L. Olvera 10, Charles P. Peterson 8, John M. Starr 15, Jessika E. Sussmann 4, Arthur W. Toga 1, Joanna M. Wardlaw 15, Margaret J. Wright 12, Hilleke E. Hulshoff Pol 5, Mark E. Bastin 4,15, Andrew M. McIntosh 4, Ian J. Deary 15, Paul M. Thompson 1* and David C. Glahn 3 JOIN US