The BOLT-LMM algorithm computes statistics for testing association between
phenotype and genotypes using a linear mixed model (LMM)  [1]. By default,
BOLT-LMM assumes a Bayesian mixture-of-normals prior for the random effect
attributed to SNPs other than the one being tested.