Coordinated epigenetic dysregulation of CNR1 and FAAH genes drives endocannabinoid system dysfunction in Anorexia Nervosa

This dataset accompanies the manuscript titled "Coordinated epigenetic dysregulation of CNR1 and FAAH genes drives endocannabinoid system dysfunction in Anorexia Nervosa" and includes molecular data and analysis code used in the study. The data were generated from saliva samples of individual diagnosed with Anorexia Nervosa (AN) and matched healthy controls (CTRL), and focus on the epigenetic regulation of the CNR1 and FAAH genes. Dataset S1 - Demographic and clinical data - DatasetS1_demographic_clinical_data_participants.xlsx Containes demographic and clinical information for study participants. The "Group" column indicates whether each subject is a control (CTRL) or an anorexia nervosa patient (AN). BMI (Body Mass Index) is reported in kg/m2. "Age of onset" indicates age at AN diagnosis (years). Dataset S2 - DNA methylation data - DatasetS2_DNAmethylation.xlsx Reports percent methylation values (0-100%) at individual CpG sites whithin the promoter regions of the CNR1 and FAAH genes. Includes average methylation (AVE) across all CpG sites per gene, stratified by control and AN groups. Dataset S3 - SNP genotyping - DatasetS3_SNP_analysis.xlsx List of allele calls for SNPs rs1049353 (CNR1) and rs324420 /FAAH) in CTRL and AN samples. Dataset S4 - miRNA expression - DatasetS4_miRNA_expression.xlsx Provides log2 fold change (log2FC) values for miRNA predicted to target CNR1 (miR-16-2-5p, miR-342-3p, miR-23b-3p, miR-212-3p) and FAAH (miR-4505, miR-1275, miR-664b-5p, miR-4270) in CTRL and AN samples. Missing values indicate individual miRNA measurements excluded due to quality control criteria (delayed reference miRNA amplification). RCode - Transcritption factors binding site analysis - Rcode_TF.txt R script used to identify transcription factors (TFs) whose binding may be affected by differentially methylated CpG sites in CNR1 and FAAH genes. The script performs motif scanning using the JASPAR2024 database via the JASPAR2024 R package (DOI: 10.18129/B9.bioc.JASPAR2024). It includes a multi-step filtering strategy to select TFs with CpG-sensitive motifs and high conservation scores (≥ 0.8) at relevant CpG positions.