Skip to main content

Advertisement

Table 3 Real data application – Interpretation of GRSxE interactions in the SALIA study

From: Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression

  OR (95%-CI) low GRS1 OR (95%-CI) high GRS1 p-value2 (GRSxE)
PM2.5 0.76 (0.35–1.65) 2.64 (1.52–4.58) 0.014
PM2.5 absorbance 0.87 (0.52–1.49) 1.77 (1.14–2.75) 0.063
PM10 0.99 (0.56–1.77) 2.04 (1.30–3.19) 0.102
NO2 0.92 (0.47–1.80) 2.05 (1.23–3.41) 0.078
  1. Association between air pollution exposure and lung inflammation in women with a low weighted GRS vs. women with a high weighted GRS for ER stress. Air pollution exposures per increase of IQR: PM2.5: fine inhalable particles, with diameters that are generally 2.5 μm and smaller; PM2.5 absorbance: filter absorbance of PM2.5 (soot); PM10: inhalable particles, with diameters that are generally 10 μm and smaller; NO2: Nitrogen dioxide
  2. All models were adjusted for age, BMI (kg/m2), smoking history, passive smoking, level of education and indoor air pollution (heating with fossil fuels and exposure to indoor mold)
  3. Lung inflammation: levels of leukotriene (LT) B4 measured in induced sputum (low vs. high, cut point at 3rd quartile)
  4. 1: weighted GRS dichotomized at its median for a better interpretation of interaction findings
  5. 2: p-values are given for the interaction term between the weighted GRS and air pollution (compare Table 2)