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These groups effectively categorize diseases based on their distinct clinical characteristics, symptoms, and underlying biological pathways, thereby facilitating a nuanced exploration of smoking's impact on diverse disease processes and enabling the identification of vulnerable subpopulations as well as potential shared mechanisms between smoking and diseases. To determine any associations between smoking and disease patterns, investigators collected data from the UK Biobank, a large-scale biomedical repository encompassing comprehensive health-related database comprised of genetic information of people of European descent

Edited by Professor Boris Zhivotovsky Supplementary information Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made

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