Research Article

Combination of Genetic Markers and Age Effectively Facilitates the Identification of People with High Risk of Preeclampsia in the Han Chinese Population

Table 2

Genotype contribution to PE in the Han Chinese population.

SNP1GenotypePE#CT#PE_MajorCT_MajorChi-squareP valueOR95_Upper95_Lower

rs25497822TT42990.270.352.830.090.691.060.45
TG88134
GG2652
rs16952AA1242110.790.741.790.181.382.200.86
AG2667
GG68
rs2070744TT1492840.960.997.260.010.150.730.03
TC62
CC10
rs1800896AA1202480.770.876.290.010.530.870.32
AG3232
GG36
rs18006292GG1392350.890.823.730.051.773.190.99
GA1647
AA14
rs1799724CC922050.590.727.390.010.570.860.38
CT6178
TT33
rs4762CC1332190.850.774.690.031.772.981.05
CT2362
TT05
rs74122CC1292520.830.882.810.090.631.090.36
CT2732
TT01

The SNP loci showed significant (chi-square test, P < 0.05; indicated in italic) or marginally significant (chi-square test, P ≥ 0.05 and < 0.1) difference in genotype composition between PE and control groups, except rs1695, for which the difference was not (marginally) significant but showed contribution to PE in multilocus interaction analysis and prediction models. 2The 90% confidence interval (upper and lower) for the OR of these SNPs was also calculated: 0.88 and 0.57 for rs2549782, 1.97 and 1.01 for rs1695, 3.01 and 1.22 for rs1800629, and 0.90 and 0.49 for rs7412, respectively. PE# and CT#, the number of patients with PE and controls, respectively; PE_ and CT_major#, the number of patients with PE and controls with the major genotype, respectively; OR, odd ratio; 95%_upper and lower, the 95% upper and lower confidence limits, respectively.