Supplemental Material for Attie et al., 2018

Fig S1. Relationship between body weight and daily food consumption in female and male DO mice.
Fig S2. Pairwise correlation among all physiological traits.
Fig S3. Motif for Hnf4a is enriched in transcripts mapping to Chr 2 eQTL hotspot.
Fig S4. Mediation predicts Il6st as a driver at the Chr 13 eQTL hotspot.
Fig S5. Mediation predicts Pdx1 as a driver at the Chr 5 eQTL hotspot.
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.
Fig S8. Module color code key.
Fig S9. Islet modules that were most strongly influenced by sex.
Fig S10. Genome-wide LOD profile for Tcf7l2 expression in DO islets.
Fig S11. Allele dependences for Tcf7l2 eQTL.
Fig S12. Mediation analysis to predict candidate drivers of Tcf7l2 expression.
Fig S13. SNP associations for Tcf7l2 eQTL.

Supplementary Table 1. eQTL hotspots.
Supplementary Table 2. Module memberships.
Supplementary Table 3. GO/KEGG enrichment for all modules.
Supplementary Table 4. Percent variance explained by module eigengenes (ME).
Supplementary Table 5. Sex effects for module transcripts.
Supplementary Table 6. Physiological QTL and their syntenic positions in human.
Supplementary Table 7. Module-QTL and their syntenic positions in human.
Supplementary Table 8. List of T1D and T2D associated SNPs obtained from GWAS Central.

File S1. R markdown file detailing the analyses for all physiological phenotypes.
File S2. R markdown file detailing the analyses for eQTL hotspots.
File S3. R markdown file detailing the analyses for co-expression module eigengenes.
File S4. Guide to R markdown files (Files S1 – 3) for QTL analysis.
File S5. R markdown file for integration of mouse QTL with human GWAS.
File S6. Data files used for GWAS integration R markdown file.
File S7. Guide to R markdown file for GWAS integration.