RT Journal
A1 Gao, Peng
A1 Shen, Xiaotao
A1 Zhang, Xinyue
A1 Jiang, Chao
A1 Zhang, Sai
A1 Zhou, Xin
A1 Schüssler-Fiorenza Rose, Sophia Miryam
A1 Snyder, Michael
T1 Precision environmental health monitoring by longitudinal exposome and multi-omics profiling
JF Genome Research 
JO Genome Research 
YR 2022 
FD June 01 
VO 32 
IS 6 
SP 1199 
OP 1214 
DO 10.1101/gr.276521.121 
UL http://genome.cshlp.org/content/32/6/1199.abstract 
AB Conventional environmental health studies have primarily focused on limited environmental stressors at the population level, which lacks the power to dissect the complexity and heterogeneity of individualized environmental exposures. Here, as a pilot case study, we integrated deep-profiled longitudinal personal exposome and internal multi-omics to systematically investigate how the exposome shapes a single individual's phenome. We annotated thousands of chemical and biological components in the personal exposome cloud and found they were significantly correlated with thousands of internal biomolecules, which was further cross-validated using corresponding clinical data. Our results showed that agrochemicals and fungi predominated in the highly diverse and dynamic personal exposome, and the biomolecules and pathways related to the individual's immune system, kidney, and liver were highly associated with the personal external exposome. Overall, this data-driven longitudinal monitoring study shows the potential dynamic interactions between the personal exposome and internal multi-omics, as well as the impact of the exposome on precision health by producing abundant testable hypotheses.