Additional file 3 of Lessons from single cell omics: admixed American ancestry and sex confer cardiometabolic disease risk in Mexicans

Résumé fourni par la source

Additional file 3: Tables S3 to 12. Excel-formatted files for Tables S3 to 12. Table S3: Summary of the prediction confidence scores per cell-type in the Mexican SAT snRNA-seq data (n=49). Table S4: Summary of the proportions of nuclei from each identified cell-type in the SAT snRNA-seq data (n=49). Table S5: The cell-type proportions in the Mexican SAT snRNA-seq cohort of the four main cell-types are comparable to those of previously published SAT snRNA-seq cohorts. Table S6: Unique marker genes identified in each cell-type. Table S7: Unique marker genes show significant overrepresentation (FDR<0.05) of functional pathways related to their cell-type functions. Table S8: Comparisons of the proportions of the four main cell-types by contexts and CMD traits. Table S9: CNA detects significant heterogeneity (p<0.05) by contexts and CMD traits at the tissue and cell-type level resolutions. Table S10. Multi-cellular factor analysis (MOFAcell) reveals transcriptomic variability in SAT cell-types associated with sex, BMI, and HDL-cholesterol. Table S11: Differential expression patterns at the cell-type level are strongest by the outcomes of BMI and sex. Table S12: Genes differentially expressed in each cell-type by contexts and CMD traits show significant (FDR<0.05) functional enrichments.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.