{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Huang K"],"funding":["NIEHS NIH HHS"],"pagination":["92-100"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11831602"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["55(1)"],"pubmed_abstract":["<h4>Background</h4>Both genetic factors and environmental air pollution contribute to the risk of stroke. However, it is unknown whether the association between air pollution and stroke risk is influenced by the genetic susceptibilities of stroke and its risk factors.<h4>Methods</h4>This prospective cohort study included 40 827 Chinese adults without stroke history. Satellite-based monthly fine particulate matter (PM<sub>2.5</sub>) estimation at 1-km resolution was used for exposure assessment. Based on 534 identified genetic variants from genome-wide association studies in East Asians, we constructed 6 polygenic risk scores for stroke and its risk factors, including atrial fibrillation, blood pressure, type 2 diabetes, body mass index, and triglyceride. The Cox proportional hazards model "],"journal":["Stroke"],"pubmed_title":["Fine Particulate Matter Exposure, Genetic Susceptibility, and the Risk of Incident Stroke: A Prospective Cohort Study."],"pmcid":["PMC11831602"],"funding_grant_id":["R01 ES032140"],"pubmed_authors":["Yu L","Li J","Huang J","Lu X","Cao J","Huang K","Shen C","Lu F","Niu X","Jia J","Yang X","Liu X","Gu D","Liu Y","Li Y","Liang F","Zhao L","Hu D","Chen S","Liu F","Wu X"],"additional_accession":[]},"is_claimable":false,"name":"Fine Particulate Matter Exposure, Genetic Susceptibility, and the Risk of Incident Stroke: A Prospective Cohort Study.","description":"<h4>Background</h4>Both genetic factors and environmental air pollution contribute to the risk of stroke. However, it is unknown whether the association between air pollution and stroke risk is influenced by the genetic susceptibilities of stroke and its risk factors.<h4>Methods</h4>This prospective cohort study included 40 827 Chinese adults without stroke history. Satellite-based monthly fine particulate matter (PM<sub>2.5</sub>) estimation at 1-km resolution was used for exposure assessment. Based on 534 identified genetic variants from genome-wide association studies in East Asians, we constructed 6 polygenic risk scores for stroke and its risk factors, including atrial fibrillation, blood pressure, type 2 diabetes, body mass index, and triglyceride. The Cox proportional hazards model ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jan","modification":"2025-04-04T00:31:30.339Z","creation":"2025-04-04T00:31:30.339Z"},"accession":"S-EPMC11831602","cross_references":{"pubmed":["38018834"],"doi":["10.1161/strokeaha.123.043812","10.1161/STROKEAHA.123.043812"]}}