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Table 2 Summary information of cis-SNPs for the 10 cancers and the association of cis-SNP effect sizes for each gene in TCGA and GTEx

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

Cancer

Mean

Median

Max

Min

R2 > 0.10 (%)

FDR < 0.05 (%)

ACC

3,521

3,597

13,279

8

325 (2.9)

8533 (76.4)

BRCA

3,089

3,337

13,086

9

309 (4.0)

5265 (67.6)

COAD

3,655

3,737

12,881

4

297 (2.6)

8504 (73.7)

LIHC

3,492

3,597

8,479

3

202 (2.4)

6396 (74.6)

LUAD

3,732

3,733

12,717

20

170 (1.6)

7917 (74.6)

LUSC

3,525

3,611

12,726

6

282 (3.0)

7004 (74.2)

OV

1,935

1,750

6,752

3

977 (12.7)

5329 (69.0)

PAAD

3,801

3,784

13,382

9

167 (1.6)

7905 (73.7)

STAD

3,500

3,687

13,091

3

168 (1.8)

6496 (70.3)

UCEC

3,721

3,727

13,063

7

186 (1.7)

8086 (73.9)

Average

3,397

3,456

11,946

7

308 (3.4)

7145 (72.8)

  1. Mean: the average number of cis-SNPs across genes; Max or Min: the maximal or minimal number of cis-SNPs across genes. R2 denotes the determination coefficient of the cis-SNP effect sizes for each gene in the linear regression with the effect sizes of a gene in TCGA as response and the effect sizes of that gene in GTEx as the covariate. The last column denotes the number of genes whose regression coefficient is significant (FDR < 0.05)