Table 1. Tissue-specific hypermethylated and hypomethylated genes identified from WGBS across human tissues

This dataset contains gene-level tissue-specific hypermethylated and hypomethylated genes identified from whole-genome bisulfite sequencing (WGBS) data across multiple human tissues, including brain, dermis, epidermis, heart, kidney, lung, and muscle. Differential DNA methylation analysis was performed using the methylKit R package. CpG sites were filtered based on coverage thresholds and unified across samples, followed by logistic regression–based statistical modeling to identify significantly differentially methylated loci. Gene-level methylation differences were calculated by aggregating CpG sites mapped to each gene. Hypermethylated genes were defined as those with a mean methylation difference ≥ 25% and q-value ≤ 0.01, whereas hypomethylated genes were defined as those with a mean methylation difference ≤ −25% and q-value ≤ 0.01. The dataset includes the following variables: gene symbol (SYMBOL), genomic annotation (annotation), number of CpG sites per gene (n_cpg), mean methylation difference (mean_meth_diff), median methylation difference (median_meth_diff), minimum q-value (min_qvalue), and tissue type (tissue). These data provide a comprehensive resource for investigating tissue-specific epigenetic regulation and DNA methylation patterns in the human genome and may be useful for biomarker discovery and comparative epigenomic analyses.