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Michelle Luciano^{a1 a2 c1}, Riccardo E. Marioni^{a1 a3 a4}, Maria Valdés Hernández^{a1 a5 a6 a7}, Susana Muñoz Maniega^{a1 a5 a6 a7}, Iona F. Hamilton^{a1 a5 a6 a7}, Natalie A. Royle^{a1 a5 a6 a7}, Generation Scotland^a3, Ganesh Chauhan^{a8 a9}, Joshua C. Bis^{a10 a11}, Stephanie Debette^{a8 a9 a12 a13}, Charles DeCarli^a14, Myriam Fornage^{a15 a16}, Reinhold Schmidt^a17, M. Arfan Ikram^a18, Lenore J. Launer^a19, Sudha Seshadri^{a12 a20}, the CHARGE Consortium^{a12 a20}, Mark E. Bastin^{a1 a5 a6 a7}, David J. Porteous^{a1 a3}, Joanna Wardlaw^{a1 a5 a6 a7} and Ian J. Deary^{a1 a2}. Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities. Twin Research and Human Genetics. Published online: 02 October 2015.

Publication Date
October 2015

How Analyze was Used
“The resulting automatically segmented masks were visually assessed for accuracy and manually edited using Analyze 9.0 (Mayo Clinic, AnalyzeDirect, Inc. Mayo Clinic) if required. Mean of left and right HV was used.”

Keywords
Polygenic Prediction
White Matter Hyperintensities
Brain Infarct
Intracranial Volume
Hippocampal Volume
Total Brain Volume
General Cognitive Ability

Author Affiliation(s)

^a1 Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK

^a2 Department of Psychology, University of Edinburgh, Edinburgh, UK

^a3 Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK

^a4 Queensland Brain Institute, The University of Queensland, Brisbane, Australia

^a5 Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK

^a6 Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK

^a7 Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK

^a8 Inserm Research Center for Epidemiology and Biostatistics (U897)—Team Neuroepidemiology, Bordeaux, France

^a9 University of Bordeaux, Bordeaux, France

^a10 Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA

^a11 Department of Medicine, University of Washington, Seattle, Washington, USA

^a12 Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA

^a13 Department of Neurology, Bordeaux University Hospital, Bordeaux, France

^a14 Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, California, USA

^a15 Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA

^a16 Human Genetics Center, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA

^a17 Department of Neurology, Medical University Graz, Graz, Austria

^a18 Departments of Epidemiology, Radiology and Neurology at Erasmus MC University Medical Center, Rotterdam, the Netherlands

^a19 Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA

^a20 Framingham Heart Study, Framingham, Massachusetts

ID# 3197

Tags: Brain Infarction, Brain Volume, Hippocampal Volume, Intracranial Volume, White Matter Hyperintensities