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Table 5 Top genes ranked by the RWR algorithm in an expanded PPI network “BioGrid+PRDM9” and their semantic similarity to two recombination related GO terms

From: Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast

  BioGrid+PRDM9 BioGrid
Rank Genes Similarity Genes Similarity
1 KPNA2 0.712 KPNA2 0.712
2 UIMC1 0.464 UIMC1 0.464
3 FBXW11 0.458 FBXW11 0.458
4 UBC 0.806 UBC 0.806
5 EP300 0.548 EP300 0.548
6 SMARCA4 0.417 SMARCA4 0.417
7 SMAD3 0.438 SMAD3 0.438
8 HDAC1 0.502 HDAC1 0.502
9 H2AFX 0.838 POLR2A 0.425
10 POLR2A 0.425 SMAD2 0.432
11 H3F3A 0.301 CREBBP 0.378
12 SMAD2 0.432 RUNX1 0.392
13 CREBBP 0.378 SMAD4 0.457
14 RUNX1 0.392 SUMO1 0.432
15 SMAD4 0.457 DAXX 0.495
16 H3F3B 0.301 ID3 0.509
17 SPO11 0.883 MYB 0.568
18 SPATA17 0 PARP1 0.414
19 RNF212 0.668 RXRA 0.368
20 SUMO1 0.432 TAT 0.263
Average   0.493   0.474
  1. The genes in bold are those predicted interaction partner of PRDM9 in STRING database.
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