Genome-Wide Association Studies of MRI-Defined Brain Infarcts: Meta-Analysis From the CHARGE Consortium * Supplemental Appendix

Authors :: Aulchenko, Y. S.
Beiser, A.
Rotter, J. I.
Eiriksdottir, G.
Fornage, M.
Enzinger, C.
Harris, T. B.
Lumley, T.
Bis, J. C.
Shibata, D. K.
Fazekas, F.
Catellier, D. J.
Tscherner, M.
DeStefano, A. L.
van der Lugt, A.
Aspelund, T.
Rivadeneira, F.
Schmidt, H.
Smith, A. V.
Atwood, L. D.
Rice, K.
Psaty, B. M.
Tzourio, C.
Debette, S.
Knopman, D. S.
Heiss, G.
Dufouil, C.
DeCarli, C.
Struchalin, M.
Sigurdsson, S.
Ikram, M. A.
Koudstaal, P. J.
Publication Year :: 2010
Publisher :: The University of North Carolina at Chapel Hill University Libraries, 2010.
Abstract: Previous studies examining genetic associations with MRI-defined brain infarct have yielded inconsistent findings. We investigated genetic variation underlying covert MRI-infarct, in persons without histories of transient ischemic attack or stroke. We performed meta-analysis of genome-wide association studies of white participants in 6 studies comprising the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

Full Text Access

Tools