BioMed Research International / 2020 / Article / Tab 4

Research Article

Association of EPAS1 and PPARA Gene Polymorphisms with High-Altitude Headache in Chinese Han Population

Table 4

Association between SNPs in PPARA and HAH under multiple genetic models.

SNPModelAllele/genotypeHAH+ [n (%)]HAH− [n (%)]OR (95% CI) valueOR (95% CI)a valuea

rs7292407AlleleC685 (86.5)251 (82.0)0.061
A107 (13.5)55 (18.0)
CodominantCC301 (76.0)103 (67.3)10.11010.150
CA83 (21.0)45 (29.4)0.63 (0.41–0.97)0.64 (0.42–1.00)
AA12 (3.0)5 (3.3)0.82 (0.28–2.39)0.93 (0.31–2.79)
DominantCC301 (76.0)103 (67.3)10.04110.066
CA/AA95 (24.0)50 (32.7)0.65 (0.43–0.98)0.67 (0.44–1.02)
RecessiveCC/CA384 (97.0)148 (96.7)10.89010.930
AA12 (3.0)5 (3.3)0.93 (0.32–2.67)1.05 (0.35–3.11)

rs6520015AlleleT711 (84.4)249 (78.3)0.014
C131 (15.6)69 (21.7)
CodominantTT302 (71.7)96 (60.4)10.03410.059
CT107 (25.4)57 (35.9)0.60 (0.40–0.89)0.61 (0.41–0.92)
CC12 (2.8)6 (3.8)0.64 (0.23–1.74)0.72 (0.25–2.02)
DominantTT302 (71.7)96 (60.4)10.00910.018
CT/CC119 (28.3)63 (39.6)0.60 (0.41–0.88)0.62 (0.42–0.92)
RecessiveTT/CT409 (97.2)153 (96.2)10.57010.750
CC12 (2.8)6 (3.8)0.75 (0.28–2.03)0.84 (0.30–2.35)

Allelic frequencies were compared by Chi-squared test (2 2 contingency table, df = 1). Association between SNPs and HAH under different models was detected by using binary logistic regression. aAdjusted for age, height, weight, BMI, smoking and drinking status, HR, SpO2, SBP, and DBP. indicated statistical significance. HAH+, subjects with HAH; HAH−, subjects without HAH. See Table 3 for group abbreviations.