Yurii Aulchenko and colleagues report a variance components–based method, GRAMMAR-Gamma, for genome-wide association studies including a large number of individuals and genetic markers. They demonstrate, using simulations as well as human and Arabidopsis thaliana data sets, that their method provides unbiased estimates of SNP effect and increases computational efficiency, which may facilitate analysis of human whole-genome resequencing studies.
- Gulnara R Svishcheva
- Tatiana I Axenovich
- Yurii S Aulchenko
