Exploring the Causal Link Between Immune Cell Phenotypes and Asthma Through Two-Sample and Bayesian Weighted Mendelian Randomization

Exploring the Causal Link Between Immune Cell Phenotypes and Asthma Through Two-Sample and Bayesian Weighted Mendelian Randomization | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Exploring the Causal Link Between Immune Cell Phenotypes and Asthma Through Two-Sample and Bayesian Weighted Mendelian Randomization Du Kaihao, Hou Lizhao, Qiao Mu, Dong Xiaoge, Wang Zhanjin, Luo Lanminghui, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4443543/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective : Using two-sample Mendelian Randomization (MR) and Bayesian Weighted Mendelian Randomization (BWMR), this study explores the causal links between 731 immune cell phenotypes and asthma, providing useful biomarkers for potential therapeutic targets for asthma. Methods : The study employed two-sample MR and BWMR to evaluate the causal relationships between 731 immune cell phenotypes and asthma, using large-scale Genome-Wide Association Study (GWAS) datasets to exclude confounding factors and conduct various sensitivity analyses. Results : The study conducted an in-depth analysis of the causal relationship between 731 immune cell phenotypes and asthma across three databases (ebi, finn, and ukb). Integrating the results from IVW and BWMR across these databases, we identified CD16+ monocyte %monocyte as a protective factor against asthma, whereas CD62L- myeloid Dendritic Cell Absolute Count, CD62L- myeloid Dendritic Cell %Dendritic Cell, CD62L- CD86+ myeloid Dendritic Cell Absolute Count, and CD62L- CD86+ myeloid Dendritic Cell %Dendritic Cell were identified as risk factors. Conclusion : Our research confirms that CD16+ monocyte %monocyte serves as a protective factor against asthma, while CD62L- myeloid Dendritic Cell Absolute Count, CD62L- myeloid Dendritic Cell %Dendritic Cell, CD62L- CD86+ myeloid Dendritic Cell Absolute Count, and CD62L- CD86+ myeloid Dendritic Cell %Dendritic Cell pose risks for asthma. Immune cell phenotypes Asthma Mendelian Randomization Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterial1.xlsx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4443543","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":307800242,"identity":"df19e78f-2254-40ca-9e35-27e087901239","order_by":0,"name":"Du Kaihao","email":"","orcid":"","institution":"Qinghai University","correspondingAuthor":false,"prefix":"","firstName":"Du","middleName":"","lastName":"Kaihao","suffix":""},{"id":307800243,"identity":"fed06417-d361-430d-9f6e-cc768813dd9b","order_by":1,"name":"Hou Lizhao","email":"","orcid":"","institution":"Affiliated Hospital of Qinghai 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