Genome-wide association identifies genetic variants associated with lentiform nucleus volume in N = 1345 young and elderly subjects
Year: 2012
Type: review
Study design: Observational Study
Source: Brain Imaging and Behavior
Authors: the Alzheimer’s Disease Neuroimaging Initiative, Derrek P. Hibar, Jason L. Stein, April B. Ryles, Omid Kohannim, Neda Jahanshad, Sarah E. Medland, Narelle K. Hansell, Katie L. McMahon, Greig I. de Zubicaray, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Andrew J. Saykin, Clifford R. Jack, Michael W. Weiner, Arthur W. Toga, Paul M. Thompson
Institutions: University of California, Los Angeles, QIMR Berghofer Medical Research Institute, Broad Institute, The University of Queensland, Indiana University Indianapolis, Indiana University School of Medicine, Mayo Clinic, University of California, San Francisco, San Francisco VA Medical Center
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funders: National Science Foundation, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, AstraZeneca, Novartis, F. Hoffmann-La Roche, Medpace, Synarc, Alzheimer's Disease Neuroimaging Initiative, Northern California Institute for Research and Education, Elan, Eisai, National Institutes of Health, Genentech, University of California, Los Angeles, University of California, San Diego, Medical Research Council, National Health and Medical Research Council, National Institute on Aging, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, U.S. National Library of Medicine, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G104586243, G1121515656, Assessment of Gene Effects on the Brain and Disease Risk through Machine Learning, G130320643, G1308337445, UC Davis Alzheimer's Disease Core Center, Indiana Alzheimer Disease Center, G1550945203, G1552963388, G1734661113, G1757829149, G1909487776, G199256479, Alzheimer's Disease Neuroimaging Initiative, G2152643862, G2314325775, G2382774797, G2392088378, G2409989180, Genetic influences on the brain: A twin imaging study, G2594996237, G2627450486, G2649392419, G2835601961, G29951154, G3109596333, G3131374986, G3146424788, Medical Imaging Informatics Training Program, G3199409182, G3218891203, G324745496, G3392333875, G346328595, G3495954047, G3506393344, G3544081313, G3553156159, G3553261625, G3582805754, HARDI Mapping of Disease Effects on the Brain, Novel PDEs for Cortical Mapping and Analysis in Disease, G3642348494, G3710456697, UCLA Alzheimer's Disease Research Center, G3870774570, G3966393351, "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies", G399895291, G4163194457, G43180419, A Multidimensional Alzheimer's Disease Brain Atlas, G4660785924, G4684857399, Alzheimer's disease risk analyzed using population imaging genomics, G4741411087, G4799736536, G519183068, G5207404921, A Multidimensional Alzheimer's Disease Brain Atlas, G5209990037, G5244094983, Alzheimer's Disease Genetics Consortium, UCLA-Caltech Medical Scientist Training Program, G5389965057, Computational Modeling of High-Field MR Images, G561273952, Genetics of brain structure and function, G5850931412, G5938296382, G598830915, G6069485058, G6258606120, G6259281481, G6364083410, G6412110892, G6423720423, G6460849299, G6644087359, G6648385527, G6836910998, G6899163935, G690007806, Genetics of moliness, G6948409098, G6957926738, G7051567, G7315666996, G7504492366, Memory Circuitry in MCI and Early Alzheimerâs Disease Prodrome: Molecular Drivers, G7799614282, G781725486, Alzheimer's Disease Cooperative Study, G7928560463, G793122433, GRADUATE RESEARCH FELLOWSHIP PROGRAM, G8169342994, G8301434335, G859153142, G8636843673, G9000039018, G9000108235, G9000122335, G9000162352, G9000179559, National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD), G920654007, G991187644
OpenAlex ID: W2115042605