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We used the same model for all different lung function outcomes.
Some studies reported racial differences to be a cause of different lung function outcomes [ 33, 34].
However, the device used to measure FEV1 also measures the majority of other lung function outcomes.
Lung function outcomes included the best values of FEV1, FVC, FEV1 % of predicted and FVC % of predicted.
Linear regression analyses were used to estimate the relations between exposures of interest and lung function outcomes.
Meta-analysis of lung function outcomes indicated no improvement due to the interventions but found a reduction in symptom days.
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The risk of this confounding our interpretation is mitigated by the use of a lung function outcome instead of vital outcome or ventilator use, but still raises some caution.
A separate model was fitted for each lung function outcome and for each type of exposure separately.
Due to the number of hypothesis tests being conducted, diplotypes were declared significant at a false discovery rate (FDR) of 0.05 within each lung function outcome.
Statistical analyses of the individual effects of SNPs within the GSTM2-5 cluster on gain in each lung function outcome yielded no significant findings (Additional file 2: Table S2).
However, TLR4 Asp299Gly was a risk factor of primary interest, so it was kept in all the four final models selected to draw conclusions (one model for each of lung function outcome variable: FEV1, FVC, FEV1/FVC ratio, FEF25-75).
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