Genome-wide variant-based study of genetic effects with the largest neuroanatomic coverage

Abstract Background Brain image genetics provides enormous opportunities for examining the effects of genetic variations on brain. Many studies have shown that structure, function, and abnormality (e.g., those related to Alzheimer’s disease) brain are heritable. However, which contribute these phenotypic changes is not completely clear. Advances in neuroimaging led us obtain detailed anatomy genome-wide information. These data offer new identify such as single nucleotide polymorphisms (SNPs) affect structure. In this paper, we perform a variant-based study, aim top SNPs or SNP sets with largest neuroanotomic coverage at both voxel region-of-interest (ROI) levels. Based voxelwise association study (GWAS) results, used exhaustive search find voxel-based ROI-based neuroanatomic coverage. For >2 SNPs, proposed an efficient algorithm can cover all ROIs specific ROI. Results We identified ensemble SNP-pairs SNP-sets, whose Experimental results real imaging show superior terms computational time identifying SNP-sets. Conclusions applied informatics strategy SNP-sets The offers solution accomplish task, especially