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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