| Literature DB >> 22903411 |
Neda Jahanshad1, Derrek P Hibar, April Ryles, Arthur W Toga, Katie L McMahon, Greig I de Zubicaray, Narelle K Hansell, Grant W Montgomery, Nicholas G Martin, Margaret J Wright, Paul M Thompson.
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.Entities:
Year: 2012 PMID： 22903411 PMCID： PMC3420975 DOI： 10.1109/ISBI.2012.6235605
Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN： 1945-7928