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Table 6 Associations of TNF-α, IFN-γ, and IL-6 polymorphisms with physiological parameters and HRCT scores in IPF patients

From: Cytokine gene polymorphisms and serum cytokine levels in patients with idiopathic pulmonary fibrosis

Cytokine/genotype/

†p-value

Allele

PaO2

FVC, % P

DLco,% P

Total extent

GGO

Retic

HC

AD

Emphy

TNF-α (−308)

  GGa

0.670

0.397

0.663

0.214

0.348

0.361

0.036*

0.147

0.164

  AGb

0.563

0.937

0.845

0.407

0.371

0.670

0.052

0.107

0.333

  AAc

0.806

0.132

0.643

0.387

0.873

0.326

0.656

0.860

0.372

  ANOVA

0.839

0.303

0.859

0.415

0.638

0.512

0.108

0.273

0.346

  A alleled

0.803

0.179

0.578

0.161

0.397

0.238

0.055

0.262

0.125

  G allele

IFN-γ (+874)

  TTe

0.574

0.725

0.913

0.769

0.603

0.916

0.904

0.924

0.861

  ATf

0.923

0.552

0.572

0.736

0.211

0.875

0.938

0.543

0.860

  AAg

0.547

0.360

0.652

0.939

0.430

0.950

0.852

0.484

0.983

  ANOVA

0.791

0.659

0.842

0.933

0.460

0.987

0.982

0.763

0.979

  T alleleh

0.443

0.392

0.808

0.896

0.824

0.982

0.838

0.586

0.925

  A allele

IL-6 (−174)

  GGi

0.236

0.654

0.346

0.138

0.021*

0.109

0.719

0.503

0.861

  CGj

0.213

0.530

0.332

0.325

0.022*

0.502

0.674

0.663

0.686

  CCk

0.901

0.844

0.860

0.300

0.659

0.083

0.198

0.626

0.351

  ANOVA

0.444

0.817

0.600

0.309

0.057

0.148

0.425

0.785

0.623

  C allelel

0.288

0.777

0.379

0.078

0.032*

0.028*

0.352

0.420

0.547

  G allele

  1. Abbreviations: TNF-α tumor necrosis factor alpha, IFN-γ interferon gamma, IL interleukin, HRCT high-resolution computed tomography, IPF idiopathic pulmonary fibrosis, PaO 2 partial pressure oxygen, FVC,% P forced vital capacity, percent predicted, DLco diffusion capacity of lung for carbon monoxide, GGO ground glass opacity, Retic reticulation, HC honeycombing, AD architectural distortion, Emphy emphysema.
  2. † One-way analysis of variance (ANOVA) and the Student’s t-test were used to compare the means of quantitative variables.
  3. * Statistically significant.
  4. aGG vs. AG and AA genotypes.
  5. bAG vs. AA and GG genotypes.
  6. cAA vs. GG and AG genotypes.
  7. dA vs. G allele.
  8. eTT vs. AT and AA genotypes.
  9. fAT vs. AA and TT genotypes.
  10. gAA vs. TT and AT genotypes.
  11. hT vs. A allele.
  12. iGG vs. CG and CC genotypes.
  13. jCG vs. CC and GG genotypes.
  14. kCC vs. GG and CG genotypes.
  15. lC vs. G allele.
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BMC Medical Genetics

ISSN: 1471-2350

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