| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6035616 | NeuroImage | 2011 | 17 Pages |
Abstract
⺠Principal components regression for gene-based association models. ⺠Gene-based multivariate statistics have increased power over univariate methods. ⺠Gene-based testing is a useful complement to genome-wide association scans.
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Authors
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Neda Jahanshad, Andrew J. Saykin, Li Shen, Sungeun Kim, Nathan Pankratz, Tatiana Foroud, Matthew J. Huentelman, Steven G. Potkin, Clifford R. Jr., Michael W. Weiner, Arthur W. Toga, Paul M. Thompson,