The UK Biobank (UKBB) is a large
population-based cohort that provides
a unique opportunity to study the association between environmental
exposure and biomarkers and to identify biomarkers as potential instruments
for assessing exposure dose, health damage, and disease risks. On
462 063 participants of European ancestry, we characterized
the relationship of 38 disease-relevant biomarkers, asthma diagnosis,
ambient pollution, traffic factors, and genetic background. The air
pollutant exposure on the UKBB cohort was fairly low (e.g., mean PM2.5 concentration at 10.0 μg/m3). Nevertheless,
30 biomarkers were in association with at least one environmental
factor; e.g., C-reactive protein levels were positively associated
with NO (p
adj = 2.99 × 10–4), NO2 (p
adj = 4.15 ×
10–4), and PM2.5 (p
adj = 1.92 × 10–6) even after multiple
testing adjustment. Asthma diagnosis was associated with four pollutants
(NO, NO2, PM2.5, and PM10). The largest
effect size was observed in PM2.5, where a 5 μg/m3 increment of exposure was associated with a 1.52 increase
in asthma diagnosis (p = 4.41 × 10–13). Further, environmental exposure and genetic predisposition influenced
biomarker levels and asthma diagnosis in an additive model. The exposure–biomarker
associations identified in this study could serve as potential indicators
for environmental exposure induced health damages. Our results also
shed light on possible mechanisms whereby environmental exposure influences
disease-causing biomarkers and in turn increases disease risk.