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Air pollution interacts with genetic risk to influence cortical networks implicated in depression

Zhi Li, Hao Yan, Xiao Zhang, Shefali Shah, Guang Yang, Qiang Chen, Shizhong Han, Dai Zhang, Daniel R. Weinberger, Weihua Yue, Hao Yang Tan

2021Proceedings of the National Academy of Sciences52 citationsDOIOpen Access PDF

Abstract

Significance Air pollution is ubiquitous and may increase neuropsychiatric risk, including for depression. However, the neural underpinnings and whether this environmental risk acts independently or interactively with genetic risk mechanisms are not well understood. In healthy individuals exposed to significant air pollution, we find that combined high air pollution exposures and relatively high polygenic risk for depression disproportionately augmented stress-related effects on brain circuitry. The coexpression of depression-associated genes across the brain tracked corresponding brain connectivity, driven by individuals with higher polygenic risk and with higher exposures to air pollution. These findings add to the mechanistic understanding of brain processes implicated in how individuals with high genetic risk for depression may be particularly vulnerable to the brain effects of air pollution.

Topics & Concepts

Depression (economics)ConfoundingAnxietyGenome-wide association studyCognitionSocioeconomic statusBiologyNeurosciencePsychologyEnvironmental healthMedicinePsychiatryGeneticsGeneInternal medicinePopulationMacroeconomicsEconomicsGenotypeSingle-nucleotide polymorphismAir Quality and Health ImpactsClimate Change and Health ImpactsHealth, Environment, Cognitive Aging