Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

• DOI: 10.1016/j.neuroimage.2015.02.050
• Publication Date: 2015-03-04T00:15:29Z
• Authors: Peter Kochunov; Neda Jahanshad; Daniel Marcus; Anderson Winkler; Emma Sprooten; Thomas E. Nichols; Susan N. Wright; L. Elliot Hong; Binish Patel; Timothy Behrens; Saad Jbabdi; Jesper Andersson; Christophe Lenglet; Essa Yacoub; Steen Moeller; Eddie Auerbach; Kamil Ugurbil; Stamatios N. Soti...; Rachel M. Brouwer; Bennett Landman; Hervé Lemaitre; Anouk den Braber; Marcel P. Zwiers; Stuart Ritchie; Kimm van Hulzen; Laura Almasy; Joanne Curran; Greig I. deZubicaray; Ravi Duggirala; Peter Fox; Nicholas G. Martin; Katie L. McMahon; Braxton Mitchell; Rene L. Olvera; Charles Peterson; John Starr; Jessika Sussmann; Joanna Wardlaw; Margie Wright; Dorret I. Boomsma; Rene Kahn; Eco J.C. de Geus; Douglas E. Willia...; Ahmad Hariri; Dennis van 't Ent; Mark E. Bastin; Andrew McIntosh; Ian J. Deary; Hilleke E. Hulsho...; John Blangero; Paul M. Thompson; David C. Glahn; David C. Van Essen
• Keywords: Netherlands Twin Register (NTR); Male; Bipolar Disorder; Registration; genetic association; data analysis; Twin Study; heritability; Spatial Normalization; corpus callosum; human experiment; Cohort Studies; capsula interna; 0302 clinical medicine; genetic variability; Registries; brain fornix; comparative study; Alzheimers-Disease; neuroimaging; adult; cingulate gyrus; Research Support, Non-U.S. Gov't; Statistics; connectome; Brain; bioinformatics; phenotypic variation; imaging system; cohort analysis; diffusion tensor imaging; image reconstruction; White Matter; female; Diffusion Tensor Imaging; Neurology; external capsule; performance measurement system; brain mapping; nerve cell network; Female; Genetic Phenomena; fractional anisotropy; 2805 Cognitive Neuroscience; Adult; Integrity; heredity; Cognitive Neuroscience; brain region; 610; anisotropy; Article; imaging software; Diffusion Mri; Young Adult; 03 medical and health sciences; monozygotic twins; male; Research Support, N.I.H., Extramural; corona radiata (brain); nerve tract; 616; geographic distribution; Genetics; Journal Article; Connectome; Humans; dizygotic twins; Comparative Study; human; mathematical computing; gene identification; gene location; Radboudumc 7: Neurodevelopmental disorders DCMN: Donders Center for Medical Neuroscience; nerve cell plasticity; 2808 Neurology; Anisotropy; Resolution; inferior frontooccipital fasciculus; Nerve Net; neuroanatomical tract tracing; mathematical model; anatomy and histology

The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imaging (DTI) reconstruction in 481 HCP subjects (194/287 M/F) consisting of 57/60 pairs of mono- and dizygotic twins, and 246 siblings. FA measurements were derived using (Enhancing NeuroImaging Genetics through Meta-Analysis) ENIGMA DTI protocols and heritability estimates were calculated using the SOLAR-Eclipse imaging genetic analysis package. We compared heritability estimates derived from HCP data to those publicly available through the ENIGMA-DTI consortium, which were pooled together from five-family based studies across the US, Europe, and Australia. FA measurements from the HCP cohort for eleven major white matter tracts were highly heritable (h(2)=0.53-0.90, p<10(-5)), and were significantly correlated with the joint-analytical estimates from the ENIGMA cohort on the tract and voxel-wise levels. The similarity in regional heritability suggests that the additive genetic contribution to white matter microstructure is consistent across populations and imaging acquisition parameters. It also suggests that the overarching genetic influence provides an opportunity to define a common genetic search space for future gene-discovery studies. Uniquely, the measurements of additive genetic contribution performed in this study can be repeated using online genetic analysis tools provided by the HCP ConnectomeDB web application.