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. 2020 Mar 24;12(3):764. doi: 10.3390/cancers12030764

Table 1.

Correlation of EOC hypomethylated blocks with genomic features 1, 2.

Genomic Region Number of Regions Size of Regions (bp) % of Genome % Regions in Hypo Blocks Correlation Jaccard Test P-Value 3,4
EOC Hypomethylated Blocks 2208 8.81E + 08 29 100 N/A N/A
LADs 1231 1.13E + 09 37 36 Direct <0.01
Early Replicating 910 7.10E + 08 23 25 Indirect <0.01
Late-Replicating 1155 5.81E + 08 19 36 Direct <0.01
CpG islands 27,537 2.10E + 07 1 32 Direct <0.01
Genes 28,489 1.41E + 09 46 32 Direct <0.01
# binding sites # binding sites in hypo blocks % binding sites in hypo blocks Fold Enrichment Correlation Projection Test P-value
EZH2 Sites 14,818 6103 41 1.41 Direct <0.01
SUZ12 Sites 5772 2497 43 1.48 Direct <0.01
CTCF Sites 162,209 52,216 32 1.10 Direct <0.01
# peaks # peaks in hypo blocks % peaks in hypo blocks Fold Enrichment Correlation Jaccard Test P-value
H3K4me3 33,116 8655 26 0.90 Indirect <0.01
H3K9me3 49,328 18,264 37 1.28 Direct <0.01
H3K27ac 67,989 17,935 26 0.91 Indirect <0.01
H3K27me3 40,126 15,428 38 1.32 Direct <0.01
H3K36me3 33,342 6303 19 0.65 Indirect <0.01
# of repeats # repeats in hypo blocks % repeats in hypo blocks Fold Change Correlation Jaccard Test P-value
LINE-1 951,780 264,352 28 0.96 Direct <0.01
Alu/SINE 1,194,734 292,495 24 0.84 Indirect <0.01
Satellites 6775 1052 16 0.64 Indirect <0.01

1 Hypomethylated blocks were determined from Methyl-seq comparison of NE (OSE + FTE average) to GDHO(+) EOC; 2 Genomic features were retrieved from public databases, as described in Methods; 3 Statistical tests were performed using GenometriCorr (Favorov et al., PLoS Computational Biology, 2012), with hypomethylated block coordinates used as the reference value; 4 All tests, other than CpG islands, gave the same result when using hypomethylated blocks as query and the genomic features as the reference value. In contrast, the association with CpG islands was not significant.