TY - GEN
T1 - Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
AU - Chiang, Ming Chang
AU - Barysheva, Marina
AU - McMahon, Katie L.
AU - De Zubicaray, Greig I.
AU - Johnson, Kori
AU - Martin, Nicholas G.
AU - Toga, Arthur W.
AU - Wright, Margaret J.
AU - Thompson, Paul M.
PY - 2011
Y1 - 2011
N2 - Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor images (DTI) from 531 healthy young adult twins and their siblings, we generalized the concept of genetic correlation to determine common genetic influences on white matter integrity, measured by fractional anisotropy (FA), at all points of the brain, yielding an NxN genetic correlation matrix rg(x,y) between FA values at all pairs of voxels in the brain. With hierarchical clustering, we identified brain regions with relatively homogeneous genetic determinants, to boost the power to identify causal single nucleotide polymorphisms (SNP). We applied genome-wide association (GWA) to assess associations between 529,497 SNPs and FA in clusters defined by hubs of the clustered genetic correlation matrix. We identified a network of genes, with a scale-free topology, that influences white matter integrity over multiple brain regions.
AB - Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor images (DTI) from 531 healthy young adult twins and their siblings, we generalized the concept of genetic correlation to determine common genetic influences on white matter integrity, measured by fractional anisotropy (FA), at all points of the brain, yielding an NxN genetic correlation matrix rg(x,y) between FA values at all pairs of voxels in the brain. With hierarchical clustering, we identified brain regions with relatively homogeneous genetic determinants, to boost the power to identify causal single nucleotide polymorphisms (SNP). We applied genome-wide association (GWA) to assess associations between 529,497 SNPs and FA in clusters defined by hubs of the clustered genetic correlation matrix. We identified a network of genes, with a scale-free topology, that influences white matter integrity over multiple brain regions.
KW - diffusion tensor imaging
KW - genome-wide association
KW - hierarchical clustering
KW - scale-free topology
KW - twins
UR - http://www.scopus.com/inward/record.url?scp=80055047232&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872533
DO - 10.1109/ISBI.2011.5872533
M3 - Conference contribution
AN - SCOPUS:80055047232
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 832
EP - 835
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
Y2 - 30 March 2011 through 2 April 2011
ER -