Can anyone explain how to select significant SNPs associated with one trait by BayesR derived manhatton plot (Bayesian Genome Wide Association Study)(x axis=chromosome, Y axis = the percentage of genetic contribution).

%Vg = 100* 2pqβ2/σ2A

where, p and q are the allele frequencies for a given trait, β is the additive effects of the SNPs, and σ2A is the additive genetic variance for a trait.

Is there any significance threshold value (ex: bonferroni adjusted significant or suggestive thresholds ) in single SNP GWAS by mixed model analysis?