Longitudinal Analysis Is More Powerful than Cross-Sectional Analysis in Detecting Genetic Association with Neuroimaging Phenotypes

Open Access

Peer-reviewed

Research Article

Zhiyuan Xu,

Affiliation Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
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Xiaotong Shen,

Affiliation School of Statistics, University of Minnesota, Minneapolis, Minnesota, United States of America
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Wei Pan ,

* E-mail: weip@biostat.umn.edu

Affiliation Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
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for the Alzheimer's Disease Neuroimaging Initiative

¶Membership of the ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
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Single nucleotide polymorphisms
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Genome analysis
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Alzheimer's disease
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Neuroimaging
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Hippocampus
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Genome-wide association studies
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Covariance
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Phenotypes
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