Impact of COL6A4P2 gene polymorphisms on the risk of lung cancer in a Chinese Han population
Background
The aim of this study was to investigate the effects of COL6A4P2 polymorphisms on lung cancer (LC) in Chinese Han population.
Methods
To examine whether variants of COL6A4P2 contribute to LC, five single nucleotide polymorphisms (SNPs) of COL6A4P2 were genotyped by Agena MassARRAY in 510 LC patients and 495 controls. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by logistic regression.
Results
We found that COL6A4P2 rs34445363 significantly increased the risk of LC in the alleles model (OR = 1.26, 95%CI: 1.01 - 1.58, p = 0.038). And rs34445363 also increased the LC risk under the log-additive model (OR = 1.26, 95%CI: 1.01 - 1.58, p = 0.041) with the multigene model analysis. Further stratification analysis showed that rs34445363 increased the LC risk under the log-additive model (OR = 1.42, 95%CI: 1.03 - 1.95, p = 0.033) in people aged ≤ 61; and rs61733464 was associated with a decreased LC risk in the log-additive model (OR = 0.72, 95%CI: 0.52 - 0.99, p = 0.048) in people aged ≤ 61. We also found that the mutations of rs34445363 and rs77941834 were associated with increased LC risk in the codominant model (rs34445363, GA vs. GG, OR = 1.73, 95%CI: 1.04 - 2.86, p = 0.034; rs77941834, TA vs. TT, OR = 1.88, 95%CI: 1.06 - 3.34, p = 0.032) in females.
Conclusions
This study provided an evidence for polymorphisms of COL6A4P2 gene associated to the development of LC, also a new insight into etiology of LC.
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Posted 20 Jan, 2020
Impact of COL6A4P2 gene polymorphisms on the risk of lung cancer in a Chinese Han population
Posted 20 Jan, 2020
Background
The aim of this study was to investigate the effects of COL6A4P2 polymorphisms on lung cancer (LC) in Chinese Han population.
Methods
To examine whether variants of COL6A4P2 contribute to LC, five single nucleotide polymorphisms (SNPs) of COL6A4P2 were genotyped by Agena MassARRAY in 510 LC patients and 495 controls. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by logistic regression.
Results
We found that COL6A4P2 rs34445363 significantly increased the risk of LC in the alleles model (OR = 1.26, 95%CI: 1.01 - 1.58, p = 0.038). And rs34445363 also increased the LC risk under the log-additive model (OR = 1.26, 95%CI: 1.01 - 1.58, p = 0.041) with the multigene model analysis. Further stratification analysis showed that rs34445363 increased the LC risk under the log-additive model (OR = 1.42, 95%CI: 1.03 - 1.95, p = 0.033) in people aged ≤ 61; and rs61733464 was associated with a decreased LC risk in the log-additive model (OR = 0.72, 95%CI: 0.52 - 0.99, p = 0.048) in people aged ≤ 61. We also found that the mutations of rs34445363 and rs77941834 were associated with increased LC risk in the codominant model (rs34445363, GA vs. GG, OR = 1.73, 95%CI: 1.04 - 2.86, p = 0.034; rs77941834, TA vs. TT, OR = 1.88, 95%CI: 1.06 - 3.34, p = 0.032) in females.
Conclusions
This study provided an evidence for polymorphisms of COL6A4P2 gene associated to the development of LC, also a new insight into etiology of LC.
Figure 1
Figure 2
Figure 3