Figure 5.

Logistic regression identifies most influential annotations. Significant ratio between estimated effect and standard error of annotations in the logistic regression models for the significantly and suggestively trait-associated SNPs (○,Δ) sorted after decreasing significance in the logistic regression model for significantly trait-associated SNPs. The final models for the significant and suggestive trait-associated SNPs included 27 and 12 annotations of which 17 and 6 were significant in the models, respectively. Corresponding values can be found in Table 4.

Kindt et al. BMC Genomics 2013 14:108   doi:10.1186/1471-2164-14-108
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