Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort

A genome-wide, whole brain approach to investigate genetic effects on neuroimaging phenotypes for identifying quantitative trait loci is described. The Alzheimer's Disease Neuroimaging Initiative 1.5 T MRI and genetic dataset was investigated using voxel-based morphometry (VBM) and FreeSurfer p...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 53; H. 3; S. 1051 - 1063
Hauptverfasser:	Shen, Li, Kim, Sungeun, Risacher, Shannon L., Nho, Kwangsik, Swaminathan, Shanker, West, John D., Foroud, Tatiana, Pankratz, Nathan, Moore, Jason H., Sloan, Chantel D., Huentelman, Matthew J., Craig, David W., DeChairo, Bryan M., Potkin, Steven G., Jack, Clifford R., Weiner, Michael W., Saykin, Andrew J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 15.11.2010 Elsevier Limited
Schlagworte:	Aged Alzheimer Disease - genetics Alzheimer's disease Apolipoproteins E - genetics Automation Cluster Analysis Cognition Disorders - genetics Databases, Factual Female Genetic Predisposition to Disease Genetics Genome-Wide Association Study Genomes Genomics Genotype Genotype & phenotype Humans Magnetic Resonance Imaging Male Medical imaging Phenotype Polymorphism, Single Nucleotide Public private partnerships Quantitative Trait Loci Studies
ISSN:	1053-8119, 1095-9572, 1095-9572
Online-Zugang:	Volltext
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