Accelerating Genotype Imputation for Large Dataset on GPU

摘要

Genotype imputation is an important approach for improving the power of genome-wide association studies. We try to use GPU to accelerate its calculation. The results show that the GPU implementation can reach a l0x speedup for small sample size, and its speedup ability gradually increases with the size of data set, therefore is especially useful for huge data (i.e. GWAS).