{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gong Z"],"funding":["1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University","Postdoctor Research Fund of West China Hospital, Sichuan University"],"pagination":["71"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11817876"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<h4>Background</h4>Observational studies have identified a possible connection between lipid-lowering medications and respiratory illnesses. However, it remains unclear whether lipid-lowering drugs is causative for respiratory diseases, and we aimed to answer this question.<h4>Methods</h4>We performed Mendelian randomization (MR) analyses by integrating data from genome-wide association studies (GWAS). Three statistical approaches were employed for MR analysis: inverse variance weighting (IVW), MR-Egger, and weighted median. The purpose was to evaluate the causal relationships between 10 drug targets that lower lipid levels and the likelihood of developing 7 respiratory diseases. Additional sensitivity analyses were conducted to ensure the robustness and validity of the results.<h4>Results"],"journal":["BMC pulmonary medicine"],"pubmed_title":["Lipid-lowering drug targets associated with risk of respiratory disease: a Mendelian randomization study."],"pmcid":["PMC11817876"],"funding_grant_id":["2023HXBH045 to Xiaohu Hao","ZYJC21002 to Lunxu Liu"],"pubmed_authors":["Ku Y","Liu L","Hao X","Wu D","Zou C","Gong Z","Qiu L"],"additional_accession":[]},"is_claimable":false,"name":"Lipid-lowering drug targets associated with risk of respiratory disease: a Mendelian randomization study.","description":"<h4>Background</h4>Observational studies have identified a possible connection between lipid-lowering medications and respiratory illnesses. However, it remains unclear whether lipid-lowering drugs is causative for respiratory diseases, and we aimed to answer this question.<h4>Methods</h4>We performed Mendelian randomization (MR) analyses by integrating data from genome-wide association studies (GWAS). Three statistical approaches were employed for MR analysis: inverse variance weighting (IVW), MR-Egger, and weighted median. The purpose was to evaluate the causal relationships between 10 drug targets that lower lipid levels and the likelihood of developing 7 respiratory diseases. Additional sensitivity analyses were conducted to ensure the robustness and validity of the results.<h4>Results","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Feb","modification":"2025-04-04T02:57:19.856Z","creation":"2025-04-04T02:57:19.856Z"},"accession":"S-EPMC11817876","cross_references":{"pubmed":["39934773"],"doi":["10.1186/s12890-025-03527-x"]}}