Genome-wide variant-based study of genetic effects with the largest neuroanatomic coverage.
Jin LiWenjie LiuHuang LiFeng ChenHaoran LuoPeihua BaoYanzhao LiHailong JiangYue GaoHong LiangShiaofen FangPublished in: BMC bioinformatics (2021)
We proposed and applied an informatics strategy to identify top SNPs, SNP-pairs and SNP-sets that have genetic effects with the largest neuroanatomic coverage. The proposed genetic algorithm offers an efficient solution to accomplish the task, especially for identifying top SNP-sets.