Additional file 1 of Genetic susceptibility to airway inflammation and exposure to short-term outdoor air pollution
Creators: name: Bouma, Femke
name: Nyberg, Fredrik
name: Olin, Anna-Carin
name: Carlsen, Hanne Krage
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Plant Biology

description: Additional file 1: Table A1. Pearson correlation coefficients for all air pollutants at 3-, 24- and 120-hour average concentrations based on the study population exposure estimates. Table A2. Genotype frequencies. Table A3. Unadjusted associations between FeNO and air pollutants PM10, NO2, NOx, and O3 estimated from quantile regression (crude models). Table A4. Gene-environment interactions between pollutant exposure and genotypes on FeNO50 estimated from single and multipollutant quantile regression models (50th percentile). Table A5. Gene-environment interactions between pollutant exposure and genotypes on FeNO270 estimated from single and multipollutant quantile regression models (GST genes). Table A6. Gene-environment interactions between pollutant exposure and genotypes on FeNO270 estimated from single and multipollutant quantile regression models (NOS genes). Table A7. Gene-environment interactions between pollutant exposure and genotypes on FeNO270 estimated from single and multipollutant quantile regression models (SFTPA genes). Figure A1. SFTPA1 SNPs: Plots of predictive margins with significant interactions. (A) rs4253527 with O3 at 3 hours, single pollutant model. (B) rs4253527 with O3 at 3 hours, multi pollutant model. (C) rs4253527 with NOx at 3 hours, single pollutant model. Figure A2. GSTT1 SNPs: Plots of predictive margins with significant interactions. (A) rs2266637 with NO2 at 120 hours, single pollutan tmodel. (B) rs2266637 with NO2 at 120 hours, multi pollutant model. Figure A3. NOS2 SNPs: Plots of predictive margins with significant interactions. (A) rs4795051 with PM10 at 3 hours, single pollutant model. (B) rs4795051 with PM10 at 3 hours, multi pollutant model. (C) rs4795051 with PM10 at 24 hours, single pollutant model. Figure A4. NOS2 SNPs: Plots of predictive margins with significant interactions. (A) rs4795051 with NO2 at 24 hours, single pollutant model. (B) rs4795051 with NO2 at 24 hours, multi pollutant model. (C) rs4795051 with NO2 at 120 hours, single pollutant model. (D) rs4795051 with NO2 at 120 hours, multi pollutant model. Figure A5. NOS2 SNPs: Plots of predictive margins with significant interactions. (A) rs4795051 with NOx at 3 hours, multi pollutant model. (C) rs4795051 with NOx at 120 hours, single pollutant model. (D) rs4795051 with NOx at 120 hours, multi pollutant model. Figure A6. NOS2 SNPs: Plots of predictive margins with significant interactions. rs4796017 with PM10 at 120 hours, single pollutant model. Figure A7. NOS2 SNPs: Plots of predictive margins with significant interactions. (A) rs2248814 with PM10 at 3 hours, single pollutant model. (B) rs2248814 with PM10 at 3 hours, multi pollutant model. Figure A8. NOS3 SNPs: Plots of predictive margins with significant interactions. (A) rs7830 with NO2 at 24 hours, single pollutant model. (B) rs7830 with NO2 at 24 hours, multi pollutant model.