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ABSTRACT: Background
This study explored the correlation and causation between air pollutants and cancer at both the macro level, using Global Burden of Disease (GBD) data, and the genetic level, based on Genome-Wide Association Study (GWAS) data.Method
This study investigated the impact of air pollution on cancer burden at global, regional, and national levels, analyzing variations across age groups and genders and exploring its association with the socio-demographic index (SDI). An ARIMA model was applied to predict the future prevalence of air pollution-related cancers through 2050. Additionally, the study examined the causal relationship between specific air pollutants and 17 types of cancer by conducting two-sample MR analyses, utilizing GWAS data from the UK Biobank and FinnGen
SUBMITTER: Zhou J
PROVIDER: S-EPMC12649100 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature