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Table 3 Genetic models analysis of associations between the genotypes of FKBP5 rs1360780 and rs3800373 with PCOS

From: Association of SNPs in the FK-506 binding protein (FKBP5) gene among Han Chinese women with polycystic ovary syndrome

SNPs

Model

Genotype

PCOS

Control

OR (95% CI)

p-value

AIC

BIC

rs1360780

Co-dominant

C/C

425 (54.2%)

432 (55.2%)

1

0.03

2717

2187

  

C/T

324 (41.3%)

293 (37.4%)

0.89 (0.72–1.09)

   
  

T/T

35 (4.5%)

58 (7.4%)

1.63 (1.05–2.53)

   
 

Dominant

C/C

425 (54.2%)

432 (55.2%)

1

0.70

2176.2

2186.9

  

C/T-T/T

359 (45.8%)

351 (44.8%)

0.96 (0.79–1.17)

   
 

Recessive

C/C–C/T

749 (95.5%)

725 (92.6%)

1

0.01

2170.2

2180.9

  

T/T

35 (4.5%)

58 (7.4%)

1.71 (1.11–2.64)

   
 

Overdominant

C/C-T/T

460 (58.7%)

490 (62.6%)

1

0.11

2173.8

2184.5

  

C/T

324 (41.3%)

293 (37.4%)

0.85 (0.69–1.04)

   
 

Log-additive

–

–

–

1.06 (0.90–1.24)

0.52

2175.9

2186.6

rs3800373

Co-dominant

A/A

430 (55%)

432 (56%)

1

0.03

2151.8

2167.8

  

C/A

315 (40.3%)

280 (36.3%)

0.88 (0.70–1.10)

   
  

C/C

37 (4.7%)

59 (7.7%)

1.59 (1.03–2.45)

   
 

Dominant

A/A

430 (55%)

432 (56%)

1

0.68

2156.7

2167.8

  

C/A-C/C

352 (45%)

339 (44%)

0.96 (0.78–1.17)

   
 

Recessive

A/A-C/A

745 (95.3%)

712 (92.3%)

1

0.02

2151.1

2161.8

  

C/C

37 (4.7%)

59 (7.7%)

1.67 (1.09–2.55)

   
 

Overdominant

A/A-C/C

467 (59.7%)

491 (63.7%)

1

0.11

2154.3

2164.9

  

C/A

315 (40.3%)

280 (36.3%)

0.85 (0.69–1.04)

   
 

Log-additive

–

–

–

1.05 (0.89–1.24)

0.55

2156.5

2167.2

  1. OR and 95% CI in bold indicates statistical significance
  2. OR odds ratio, AIC Akaike Information Criterion, BIC Bayesian information criterion
  3. The association between each SNP and the susceptibility to HA was evaluated by calculating the odds ratio (OR) with their 95% confidence interval (95% CI) with a logistic regression analysis under five genetic models (the co-dominant model, the dominant model, the recessive model, the overdominant model and the log-additive model)