Table 4 Logistic analysis of rs2227983 and rs1050171 in EGFR with the risk of Glioma.

From: Two independent variants of epidermal growth factor receptor associated with risk of glioma in a Korean population

SNPID

Genotype

Case, n(%)

PCs, n(%)

Referent

Additive

Dominant

Recessive

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

 

AA

90 (28.0%)

176 (37.1%)

1

       

rs2227983 (R521K)

AG

153 (47.7%)

224 (47.2%)

1.33 (0.95–1.85)

0.09

1.42 (1.16–1.74)

0.0007

1.52 (1.11–2.07)

0.008

1.72 (1.20–2.46)

0.003

 

GG

78 (24.3%)

75 (15.8%)

2.07 (1.36–3.14)

0.0006

      
 

GG

217 (67.4%)

377 (78.5%)

1

       

rs1050171 (Q787Q)

AG

95 (29.5%)

96 (20.0%)

1.71 (1.22–2.39)

0.002

1.68 (1.26–2.24)

0.0004

1.77 (1.28–2.45)

0.0006

2.26 (0.84–6.08)

0.10

 

AA

10 (3.1%)

7 (1.5%)

2.60 (0.96–7.01)

0.06

      
  1. Logistic regression analysis under referent, additive, dominant, and recessive models are used for calculating ORs and corresponding P-values for SNP controlling age and sex as covariates.
  2. The homozygotes of major allele were used as the referent group to the heterozygotes and homozygotes of the minor allele.
  3. Significant values are in bold.
  4. PC population control, OR odds ratio, CI confidence interval.
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