TY - JOUR
T1 - The common genetic influence over processing speed and white matter microstructure
T2 - Evidence from the Old Order Amish and Human Connectome Projects
AU - Kochunov, Peter
AU - Thompson, Paul M.
AU - Winkler, Anderson
AU - Morrissey, Mary
AU - Fu, Mao
AU - Coyle, Thomas R.
AU - Du, Xiaoming
AU - Muellerklein, Florian
AU - Savransky, Anya
AU - Gaudiot, Christopher
AU - Sampath, Hemalatha
AU - Eskandar, George
AU - Jahanshad, Neda
AU - Patel, Binish
AU - Rowland, Laura
AU - Nichols, Thomas E.
AU - O'Connell, Jeffrey R.
AU - Shuldiner, Alan R.
AU - Mitchell, Braxton D.
AU - Hong, L. Elliot
N1 - Publisher Copyright:
© 2015 Elsevier Inc.
PY - 2016/1/15
Y1 - 2016/1/15
N2 - Speed with which brain performs information processing influences overall cognition and is dependent on the white matter fibers. To understand genetic influences on processing speed and white matter FA, we assessed processing speed and diffusion imaging fractional anisotropy (FA) in related individuals from two populations. Discovery analyses were performed in 146 individuals from large Old Order Amish (OOA) families and findings were replicated in 485 twins and siblings of the Human Connectome Project (HCP). The heritability of processing speed was h2=43% and 49% (both p<0.005), while the heritability of whole brain FA was h2=87% and 88% (both p<0.001), in the OOA and HCP, respectively. Whole brain FA was significantly correlated with processing speed in the two cohorts. Quantitative genetic analysis demonstrated a significant degree to which common genes influenced joint variation in FA and brain processing speed. These estimates suggested common sets of genes influencing variation in both phenotypes, consistent with the idea that common genetic variations contributing to white matter may also support their associated cognitive behavior.
AB - Speed with which brain performs information processing influences overall cognition and is dependent on the white matter fibers. To understand genetic influences on processing speed and white matter FA, we assessed processing speed and diffusion imaging fractional anisotropy (FA) in related individuals from two populations. Discovery analyses were performed in 146 individuals from large Old Order Amish (OOA) families and findings were replicated in 485 twins and siblings of the Human Connectome Project (HCP). The heritability of processing speed was h2=43% and 49% (both p<0.005), while the heritability of whole brain FA was h2=87% and 88% (both p<0.001), in the OOA and HCP, respectively. Whole brain FA was significantly correlated with processing speed in the two cohorts. Quantitative genetic analysis demonstrated a significant degree to which common genes influenced joint variation in FA and brain processing speed. These estimates suggested common sets of genes influencing variation in both phenotypes, consistent with the idea that common genetic variations contributing to white matter may also support their associated cognitive behavior.
UR - http://www.scopus.com/inward/record.url?scp=84945970788&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2015.10.050
DO - 10.1016/j.neuroimage.2015.10.050
M3 - Article
C2 - 26499807
AN - SCOPUS:84945970788
SN - 1053-8119
VL - 125
SP - 189
EP - 197
JO - NeuroImage
JF - NeuroImage
ER -