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@@ -1,4 +1,4 @@ - # GEMMA: Genome-wide Efficient Mixed Model Association @@ -20,7 +20,7 @@ multivariate linear mixed model (lvLMM). In GWAS, this can correct for populations tructure and sample nonexchangeability jointly in multiple complex phenotypes. -3 Bayesian sparse linear mixed model (BSLMM) for estimating PVE, +3. Bayesian sparse linear mixed model (BSLMM) for estimating PVE, phenotype prediction, and multi-marker modeling in GWAS. 4. Estimation of variance components ("chip heritability") partitioned @@ -33,6 +33,10 @@ MQS algorithm to estimate variance components. *Add note here about posting questions, comments or bug reports to Issues.* +*Note: The image above summarizes physiological and behavioral trait +loci discovered in CFW mice, from [Parker et al, Nat. Genet., +2006](https://doi.org/10.1038/ng.3609).* + ### Citing GEMMA *Add text here.* |