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Table 9 Gene characteristics significant in stepwise best subset multiple linear regression model for frameshift mutations

From: Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples

Predictor

T-test

P-value

Beta (ß)

Gene size in nucleotides

50.93

3.34 × 10− 218

0.38

Nucleotide diversity

−10.69

5.56 × 10− 26

− 0.1

Number of silent mutations in the gene

6.86

5.65 × 10− 09

0.1

Percentage of “C”

5.26

3.84 × 10−7

0.09

Percentage of “A”

5.16

6.52 × 10− 7

0.09

Gene expression in CCLE cancer cell lines

4.21

5.64 × 10−5

0.03

Percentage of “CpGs”

− 4.1

8.84 × 10− 5

− 0.06

Percentage of “G”

− 3.62

5.52 × 10− 4

− 0.04

“hic” from MutsigCV

2.25

3.14 × 10− 2

0.01

Evolutionary conservation

2.09

4.42 × 10− 2

0.01