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. 2018 Sep 4;42(5):2415–2436. doi: 10.3892/ijmm.2018.3852

Table IX.

Association between SNPs and chronic kidney disease as determined by multivariable logistic regression analysis.

Gene SNP Dominant
Recessive
Additive 1
Additive 2
P-value OR 95% CI P-value OR 95% CI P-value OR 95% CI P-value OR 95% CI
COL6A5 rs200982668 G/A 0.0002 0.25 0.12-0.52 0.0002 0.25 0.12-0.52
MARCH1 rs61734696 G/T 0.0004 0.26 0.12-0.55 0.0004 0.26 0.12-0.55
MUC17 rs78010183 A/T 0.0008 0.35 0.19-0.65 0.0008 0.35 0.19-0.65
MOB3C rs139537100 C/T 0.0006 0.27 0.13-0.57 0.0006 0.27 0.13-0.57
PLCB2 rs200787930 C/T 0.0007 0.27 0.13-0.57 0.0007 0.27 0.13-0.57
CXCL8 rs188378669 G/T 0.0004 0.26 0.12-0.55 0.0004 0.26 0.12-0.55
VPS33B rs199921354 C/T 0.0007 0.27 0.13-0.58 0.0007 0.27 0.13-0.58
TMOD4 rs115287176 G/A 0.0007 0.27 0.13-0.58 0.0007 0.27 0.13-0.58
ADGRL3 rs192210727 G/T 0.0006 0.27 0.12-0.57 0.4876 0.0007 0.27 0.13-0.57 0.9964
ZNF77 rs146879198 G/A 0.0009 0.28 0.13-0.59 0.0009 0.28 0.13-0.59
COL6A3 rs146092501 C/T 0.0010 0.28 0.13-0.60 0.0010 0.28 0.13-0.60

Multivariable logistic regression analysis was performed with adjustment for age, sex, and the prevalence of hypertension and diabetes mellitus. Based on Bonferroni's correction, P<0.0011 (0.05/44) was considered statistically significant. SNP, single nucleotide polymorphism; OR, odds ratio; CI, confidence interval.