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Predicting White Matter Integrity from Multiple Common Genetic Variants

Year: 2012
Type: article
Study design: Observational Study
DOI: 10.1038/npp.2012.49
Authors: Omid Kohannim, Neda Jahanshad, Meredith N Braskie, Jason L Stein, Ming-Chang Chiang, April H Reese, Derrek P Hibar, Arthur W Toga, Katie L McMahon, Greig I de Zubicaray, Sarah E Medland, Grant W Montgomery, Nicholas G Martin, Margaret J Wright, Paul M Thompson
Language: English
Field: Medicine
Open Access status: bronze
Funders: National Science Foundation, Achievement Rewards for College Scientists Foundation, National Health and Medical Research Council, National Institute on Aging, National Institute of Mental Health, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Assessment of Gene Effects on the Brain and Disease Risk through Machine Learning, G130320643, G1372278137, G1734661113, G1757829149, G1909487776, Genetic influences on the brain: A twin imaging study, G2627450486, HARDI Mapping of Disease Effects on the Brain, Novel PDEs for Cortical Mapping and Analysis in Disease, G3632542342, G3642348494, G4163194457, A Multidimensional Alzheimer's Disease Brain Atlas, Studying the Genetic Basis of Schizophrenia through Tract Alterations, A Multidimensional Alzheimer's Disease Brain Atlas, UCLA-Caltech Medical Scientist Training Program, Computational Modeling of High-Field MR Images, G561273952, G6644087359, G690007806, Genetics of moliness, G7504492366, GRADUATE RESEARCH FELLOWSHIP PROGRAM
OpenAlex ID: W2148402008
FWCI: 7.976
Cites: 78
Cited by: 50
Related to: 10