BioStatistics and Imaging GenomicS AnalysiS Lab (BIG-S2) BIAS License Yes NITRC FVGWAS: Fast Voxelwise Genome Wide Association Analysis Yes MATLAB The Fast Voxelwise Genome Wide Association analysiS (FVGWAS) framework to efficiently carry out whole-genome analyses of whole-brain data. FVGWAS consists of three components including a heteroscedastic linear model, a global sure independence screening (GSIS) procedure, and a detection procedure based on wild bootstrap methods. Specically, for standard linear association, the computational complexity is O(n*N_V*N_C) for voxelwise genome wide association analysis (VGWAS) method compared with O((N_C+N_V)*n^2) for FVGWAS. Our FVGWAS may be a valuable statistical toolbox for large-scale imaging genetic analysis as the field is rapidly advancing with ultra-high-resolution imaging and whole-genome sequencing. 2016-5-24 FVGWAS-3.0-linux 2015-11-09 FVGWAS-2.0 2015-7-31 FVGWAS-1.1 2015-6-11 FVGWAS-1.0 FVGWAS: Fast Voxelwise Genome Wide Association Analysis Imaging Genomics, BIAS License, MATLAB http://www.nitrc.org/projects/fvgwas/