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@ARTICLE{Winkler:10472,
author = {Winkler, A.M. and Kochunov, P. and Blangero, J. and Almasy,
L. and Zilles, K. and Fox, P.T. and Duggirala, R. and Glahn,
D.C.},
title = {{C}ortical thickness or grey matter volume? {T}he
importance of selecting the phenotype for imaging genetics
studies},
journal = {NeuroImage},
volume = {53},
issn = {1053-8119},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {PreJuSER-10472},
pages = {1135 - 1146},
year = {2010},
note = {The authors gratefully acknowledge Jack W. Kent Jr. for his
invaluable support. The authors thank the Athinoula Martinos
Center for Biomedical Imaging and the FMRIB Imaging Analysis
Group for providing software used for the analyses.
Financial support for this study was provided by NIMH grants
MH0708143 (PI: D. C. Glahn), MH078111 (PI: J. Blangero) and
MH083824 (PI: D. C. Glahn) and by the NIBIB grant EB006395
(P. Kochunov). SOLAR is supported by NIMH grant MH59490 (J.
Blangero). None of the authors have financial interests to
disclose.},
abstract = {Choosing the appropriate neuroimaging phenotype is critical
to successfully identify genes that influence brain
structure or function. While neuroimaging methods provide
numerous potential phenotypes, their role for imaging
genetics studies is unclear. Here we examine the
relationship between brain volume, grey matter volume,
cortical thickness and surface area, from a genetic
standpoint. Four hundred and eighty-six individuals from
randomly ascertained extended pedigrees with high-quality
T1-weighted neuroanatomic MRI images participated in the
study. Surface-based and voxel-based representations of
brain structure were derived, using automated methods, and
these measurements were analysed using a variance-components
method to identify the heritability of these traits and
their genetic correlations. All neuroanatomic traits were
significantly influenced by genetic factors. Cortical
thickness and surface area measurements were found to be
genetically and phenotypically independent. While both
thickness and area influenced volume measurements of
cortical grey matter, volume was more closely related to
surface area than cortical thickness. This trend was
observed for both the volume-based and surface-based
techniques. The results suggest that surface area and
cortical thickness measurements should be considered
separately and preferred over gray matter volumes for
imaging genetic studies.},
keywords = {Adult / Aged / Aged, 80 and over / Brain: anatomy $\&$
histology / Brain Mapping: methods / Female / Humans / Image
Interpretation, Computer-Assisted / Magnetic Resonance
Imaging / Male / Middle Aged / Pedigree / Phenotype /
Quantitative Trait, Heritable / J (WoSType)},
cin = {INM-2 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-2-20090406 / $I:(DE-82)080010_20140620$},
pnm = {Funktion und Dysfunktion des Nervensystems (FUEK409) /
89571 - Connectivity and Activity (POF2-89571)},
pid = {G:(DE-Juel1)FUEK409 / G:(DE-HGF)POF2-89571},
shelfmark = {Neurosciences / Neuroimaging / Radiology, Nuclear Medicine
$\&$ Medical Imaging},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:20006715},
pmc = {pmc:PMC2891595},
UT = {WOS:000282039300040},
doi = {10.1016/j.neuroimage.2009.12.028},
url = {https://juser.fz-juelich.de/record/10472},
}