• DocumentCode
    2569164
  • Title

    Discovery of genes that affect human brain connectivity: A genome-wide analysis of the connectome

  • Author

    Jahanshad, Neda ; Hibar, Derrek P. ; Ryles, April ; Toga, Arthur W. ; McMahon, Katie L. ; De Zubicaray, Greig I. ; Hansell, Narelle K. ; Montgomery, Grant W. ; Martin, Nicholas G. ; Wright, Margaret J. ; Thompson, Paul M.

  • Author_Institution
    Sch. of Med., Dept. of Neurology, UCLA, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    542
  • Lastpage
    545
  • Abstract
    Human brain connectivity is disrupted in a wide range of disorders - from Alzheimer´s disease to autism - but little is known about which specific genes affect it. Here we conducted a genome-wide association for connectivity matrices that capture information on the density of fiber connections between 70 brain regions. We scanned a large twin cohort (N=366) with 4-Tesla high angular resolution diffusion imaging (105-gradient HARDI). Using whole brain HARDI tractography, we extracted a relatively sparse 70×70 matrix representing fiber density between all pairs of cortical regions automatically labeled in co-registered anatomical scans. Additive genetic factors accounted for 1-58% of the variance in connectivity between 90 (of 122) tested nodes. We discovered genome-wide significant associations between variants and connectivity. GWAS permutations at various levels of heritability, and split-sample replication, validated our genetic findings. The resulting genes may offer new leads for mechanisms influencing aberrant connectivity and neurodegeneration.
  • Keywords
    biomedical MRI; brain; diseases; genetics; genomics; medical disorders; medical image processing; neurophysiology; 4-Tesla high angular resolution diffusion imaging; Alzheimers disease; GWAS permutations; additive genetic factors; connectivity matrices; connectome; coregistered anatomical scans; cortical regions; fiber connection density; genome-wide association; human brain connectivity; medical disorders; neurodegeneration; sparse 70 x 70 matrix representing fiber density; split-sample replication; whole brain HARDI tractography; Bioinformatics; Brain modeling; Genomics; Humans; Imaging; Mathematical model; cortical surfaces; genetics; high angular resolution diffusion imaging (HARDI); human connectome; twin modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235605
  • Filename
    6235605