Supplemental Material for Attie et al., 2018

Fig S1. Relationship between body weight and daily food consumption in female and male DO mice. <br>Fig S2. Pairwise correlation among all physiological traits. <br>Fig S3. Motif for Hnf4a is enriched in transcripts mapping to Chr 2 eQTL hotspot. <br>Fig S4. Mediation predicts Il6st as a driver at the Chr 13 eQTL hotspot. <br>Fig S5. Mediation predicts Pdx1 as a driver at the Chr 5 eQTL hotspot. <br>Fig S6. Mediation predicts Fam83e as a driver at the Chr 7 eQTL hotspot.Fig S7. Mediation predicts Sat2 as a driver at the Chr 11 eQTL hotspot.<br>Fig S8. Module color code key.<br>Fig S9. Islet modules that were most strongly influenced by sex.<br>Fig S10. Genome-wide LOD profile for Tcf7l2 expression in DO islets.<br>Fig S11. Allele dependences for Tcf7l2 eQTL.<br>Fig S12. Mediation analysis to predict candidate drivers of Tcf7l2 expression.<br>Fig S13. SNP associations for Tcf7l2 eQTL.<br><br>Supplementary Table 1. eQTL hotspots.<br>Supplementary Table 2. Module memberships.<br>Supplementary Table 3. GO/KEGG enrichment for all modules.<br>Supplementary Table 4. Percent variance explained by module eigengenes (ME).<br>Supplementary Table 5. Sex effects for module transcripts.<br>Supplementary Table 6. Physiological QTL and their syntenic positions in human.<br>Supplementary Table 7. Module-QTL and their syntenic positions in human.<br>Supplementary Table 8. List of T1D and T2D associated SNPs obtained from GWAS Central.<br><br>File S1. R markdown file detailing the analyses for all physiological phenotypes.<br>File S2. R markdown file detailing the analyses for eQTL hotspots.<br>File S3. R markdown file detailing the analyses for co-expression module eigengenes.<br>File S4. Guide to R markdown files (Files S1 – 3) for QTL analysis.<br>File S5. R markdown file for integration of mouse QTL with human GWAS.<br>File S6. Data files used for GWAS integration R markdown file.<br>File S7. Guide to R markdown file for GWAS integration.<br><br> <br><br>