Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling
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- 作者：Peter Kochunova ; 1 ; pkochunov@mprc.umaryland.edu" class="auth_mail ; Neda Jahanshadb ; 1 ; Emma Sprootenc ; Thomas E. Nicholsd ; e ; René ; C. Mandlf ; Laura Almasyg ; Tom Boothh ; Rachel M. Brouwerf ; Joanne E. Currang ; Greig I. de Zubicarayi ; Rali Dimitrovaj ; Ravi Duggiralag ; Peter T. Foxk ; L. Elliot Honga ; Bennett A. Landmanl ; Hervé ; Lemaitrem ; Lorna M. Lopezh ; Nicholas G. Martino ; Katie L. McMahonp ; Braxton D. Mitchellq ; Rene L. Olverar ; Charles P. Petersong ; John M. Starrh ; s ; Jessika E. Sussmannj ; Arthur W. Togab ; Joanna M. Wardlawh ; n ; Margaret J. Wrighto ; Susan N. Wrighta ; Mark E. Bastinh ; n ; Andrew M. McIntoshj ; Dorret I. Boomsmat ; René ; S. Kahnf ; Anouk den Brabert ; Eco J.C. de Geust ; Ian J. Dearyh ; Hilleke E. Hulshoff Polf ; Douglas E. Williamsonr ; John Blangerog ; Dennis van 't Entt ; Paul M. Thompsonb ; u ; David C. Glahnc
- 关键词：Diffusion tensor imaging (DTI) ; Imaging genetics ; Heritability ; Meta-analysis ; Multi-site ; Reliability
- 刊名：NeuroImage
- 出版年：15 July 2014
- 年：2014
- 卷：95
- 期：Complete
- 页码：136-150
- 全文大小：2190 K
文摘
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Data pooling using analytical approaches leads to improved power of genetic analyses.
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In the largest DTI study to date we evaluated three metaanalytical methods.
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Data from 2248 subjects were normalized using ENIGMA-DTI protocol.
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Heritability estimates varied substantially for five cohort that contributed subjects.
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Meta-analyses boosted power and improved stability of heritability estimates.