Additional file 2: Table S1. of Changes in selective pressures associated with human population expansion may explain metabolic and immune related pathways enriched for signatures of positive selection

Significant gene sets found using iHS scores and Daub et al. [19] approach. Threshold is set to <0.09. Table S2. Significant gene sets found using iHS scores and Gowinda approach. Threshold is set to <0.09. Table S3. Significant gene sets found using XPCLR scores and Daub et al. [19] approach. Threshold is set to <0.09. For all the population pairs, the first population is the objective one and the second, the reference. Table S4. Significant gene sets found using XPCLR scores and Gowinda approach. Threshold is set to 0.09. For all the population pairs, the first population is the objective one and the second, the reference. Table S5. Immunity related gene sets detected with the GSEA approaches. Q-value threshold is set to <0.09. Table S6. 17 significant genes related to obesity, diabetes and metabolic syndrome that were found to be under positive selection with XPCLR and iHS analysis using the list of genes derived from Bio4j. Some of them (indicated with *) have been detected in previous studies to be under positive selection, too. The threshold was calculated based on the 1Â % cut off level. Genes are categorized in groups of potential risk factors, potential protective and indirect associations. Table S7. Significant genes related to obesity, diabetes and metabolic syndrome that we found to be under positive selection from XPCLR and iHS analysis using the Protein-Protein Interaction (PPI) networks from the STRING database. Five of them (indicated with *) have been detected in previous studies to be under positive selection. (XLSX 29 kb)