Extended Data Fig. 1: Comparison between fastGWA-REML and AI-REML.
From: A resource-efficient tool for mixed model association analysis of large-scale data
The phenotypes were simulated based on real genotypes of 100,000 individuals from the UKB with Vg = 0.4 (see part 5 of the Supplementary Note for details of the simulation method and data). Plotted are the \(\hat \sigma _g^2\) values estimated by fastGWA-REML against those estimated by the AI-REML in GCTA. Each dot represents one simulation replicate (100 simulations in total). The Pearson’s correlation coefficient of \(\hat \sigma _g^2\) between the two methods is >0.9999.
