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Table 4 Summary information for associated genes for the four cancers identified by different tests

From: Integrative eQTL-weighted hierarchical Cox models for SNP-set based time-to-event association studies

Cancer Gene chr (pos) S r Burden KM IEHC-Fisher IEHC-adapt IEHC-optim IEHC-ACAT
BRCA COL9A1 6 (70,924,764–71,012,786) 4,121  − 0.32 8.94 × 10–2 8.43 × 10–1 1.41 × 10–1 1.54 × 10–1 2.18 × 10–1 1.56 × 10–1
BRCA MSANTD2 11 (124,636,394–124,670,569) 4,563  − 0.16 8.94 × 10–2 8.43 × 10–1 4.64 × 10–1 2.03 × 10–1 2.20 × 10–1 2.33 × 10–1
BRCA LMBRD1 6 (70,385,694–70,507,003) 4,324 0.26 8.94 × 10–2 8.43 × 10–1 1.67 × 10–1 1.54 × 10–1 2.18 × 10–1 1.56 × 10–1
BRCA RP11-1391J7.1 11 (856,880–859,795) 4,309 0.34 1.77 × 10–2 8.43 × 10–1 1.25 × 10–1 3.85 × 10–2 5.91 × 10–2 4.65 × 10–2
COAD CTA-407F11.6 22 (26,043,228–26,045,199) 4,290 0.23 9.42 × 10–2 8.41 × 10–1 6.67 × 10–1 2.09 × 10–1 3.04 × 10–1 2.48 × 10–1
OV KIAA1841 2 (61,293,006–61,391,960) 3,162 0.01 9.52 × 10–1 2.62 × 10–1 2.28 × 10–4 4.15 × 10–5 5.75 × 10–2 1.75 × 10–4
OV FAM161A 2 (62,051,989–62,081,278) 3,064 0.17 8.63 × 10–1 2.62 × 10–1 1.70 × 10–4 4.15 × 10–5 1.68 × 10–3 1.75 × 10–4
OV COMMD1 2 (62,115,859–62,374,382) 3,047 0.16 9.93 × 10–1 2.26 × 10–1 6.75 × 10–1 5.38 × 10–1 1.32 × 10–2 4.18 × 10–2
STAD CTC-338M12.5 5 (180,618,924–180,621,429) 1,051 0.06 9.96 × 10–1 5.88 × 10–1 6.55 × 10–4 9.82 × 10–5 4.63 × 10–1 4.27 × 10–4
  1. The italic values represent genes identified by different tests (FDR < 0.1 is marked as italic)
  2. S: the number of SNPs for each gene; r: estimated correlation coefficients for SNP effect sizes between the TCGA and GTEx datasets. The FDR level is set to 0.1