| Literature DB >> 26413210 |
Dajiang Zhu1, Liang Zhan1, Joshua Faskowitz1, Madelaine Daianu1, Neda Jahanshad1, Greig I de Zubicaray2, Katie L McMahon3, Nicholas G Martin4, Margaret J Wright4, Paul M Thompson1.
Abstract
Genetic and environmental factors affect white matter connectivity in the normal brain, and they also influence diseases in which brain connectivity is altered. Little is known about genetic influences on brain connectivity, despite wide variations in the brain's neural pathways. Here we applied the "DICCCOL" framework to analyze structural connectivity, in 261 twin pairs (522 participants, mean age: 21.8 y ± 2.7SD). We encoded connectivity patterns by projecting the white matter (WM) bundles of all "DICCCOLs" as a tracemap (TM). Next we fitted an A/C/E structural equation model to estimate additive genetic (A), common environmental (C), and unique environmental/error (E) components of the observed variations in brain connectivity. We found 44 "heritable DICCCOLs" whose connectivity was genetically influenced (a2>1%); half of them showed significant heritability (a2>20%). Our analysis of genetic influences on WM structural connectivity suggests high heritability for some WM projection patterns, yielding new targets for genome-wide association studies.Entities:
Keywords: DICCCOL; heritability
Year: 2015 PMID: 26413210 PMCID: PMC4578156 DOI: 10.1109/ISBI.2015.7164080
Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN: 1945-7928