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Table 4 Interaction between dietary fiber intake and APOA5 genetic variants regarding metabolic syndrome risk

From: Consumption of dietary fiber and APOA5 genetic variants in metabolic syndrome: baseline data from the Korean Medicine Daejeon Citizen Cohort Study

APOA5

Non-MetS/MetS

Crude OR (95% CI)

P for interaction

Multivariable OR (95% CI)

P for interaction

SNPs

Low

High

Low

High

Low

High

rs2266788

        

Dominant

        

 A/A

527/96

524/75

1.0 (ref)

0.79 (0.57–1.09)

0.63

1.0 (ref)

0.78 (0.54–1.13)

0.69

 A/G + G/G

312/77

315/54

1.36 (0.97–1.89)

0.94 (0.66–1.35)

 

1.43 (0.98–2.09)

1.00 (0.66–1.51)

 

Recessive

        

 A/A + A/G

792/163

805/122

1.0 (ref)

0.74 (0.57–0.95)

0.62

1.0 (ref)

0.74 (0.55–0.99)

0.78

 G/G

47/10

34/7

1.03 (0.51–2.09)

1.00 (0.44–2.30)

 

1.13 (0.52–2.46)

0.98 (0.40–2.42)

 

rs662799

        

Dominant

        

 A/A

447/63

430/60

1.0 (ref)

0.99 (0.68–1.44)

0.05

1.0 (ref)

1.07 (0.70–1.63)

0.024

 A/G + G/G

393/109

410/69

1.97 (1.40–2.76)

1.19 (0.83–1.72)

 

2.34 (1.59–3.44)

1.30 (0.86–1.98)

 

Recessive

        

 A/A + A/G

770/149

770/110

1.0 (ref)

0.74 (0.57–0.96)

0.77

1.0 (ref)

0.73 (0.54–0.99)

0.79

 G/G

70/23

70/19

1.70 (1.03–2.81)

1.40 (0.82–2.40)

 

1.99 (1.12–3.53)

1.62 (0.89–2.96)

 

rs651821

        

Dominant

        

 T/T

441/62

422/59

1.0 (ref)

0.99 (0.68–1.46)

0.06

1.0 (ref)

1.07 (0.70–1.63)

0.027

 T/C + C/C

392/109

412/70

1.98 (1.41–2.78)

1.21 (0.84–1.75)

 

2.35 (1.59–3.46)

1.32 (0.87–2.01)

 

Recessive

        

 T/T + T/C

764/148

764/110

1.0 (ref)

0.74 (0.57–0.97)

0.81

1.0 (ref)

0.73 (0.54-1.00)

0.85

 C/C

69/23

70/19

1.72 (1.04–2.85)

1.40 (0.82–2.40)

 

2.05 (1.15–3.66)

1.63 (0.89–2.98)

 
  1. MetS, metabolic syndrome; CI, 95% confidence intervals; OR, odds ratios. Dietary fiber intake was categorized into low and high groups based on the median level. P-values were calculated using the chi-square test. Multivariable model was adjusted for age, sex, BMI, education level, occupation, income, alcohol consumption, smoking status, and physical activity