<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ma H</submitter><funding>Ningbo Major Research and Development Plan Project</funding><pagination>e47337</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12908769</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>105(7)</volume><pubmed_abstract>Chronic obstructive pulmonary disease (COPD) and acute kidney injury (AKI) are significant public health burdens, and emerging observational studies have suggested a potential link between them. However, causality remains unclear. This study aimed to investigate the causal relationship between COPD and AKI using two-sample Mendelian randomization (MR) analyses. We utilized 11 independent single-nucleotide polymorphisms associated with COPD to perform two-sample MR analyses on 2 AKI datasets (GCST90018790 and ACUTERENFAIL). Inverse variance weighted (IVW), weighted median, MR-Egger, and weighted mode methods were employed to estimate causal effects. Sensitivity analyses included MR-Egger intercept tests for directional pleiotropy and Cochran Q tests for heterogeneity. A reverse MR analysis </pubmed_abstract><journal>Medicine</journal><pubmed_title>Exploring the causal relationship between COPD and AKI: A bidirectional Mendelian randomization approach.</pubmed_title><pmcid>PMC12908769</pmcid><funding_grant_id>2023Z177</funding_grant_id><pubmed_authors>Luo Q</pubmed_authors><pubmed_authors>Ma H</pubmed_authors><pubmed_authors>Zhou F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Exploring the causal relationship between COPD and AKI: A bidirectional Mendelian randomization approach.</name><description>Chronic obstructive pulmonary disease (COPD) and acute kidney injury (AKI) are significant public health burdens, and emerging observational studies have suggested a potential link between them. However, causality remains unclear. This study aimed to investigate the causal relationship between COPD and AKI using two-sample Mendelian randomization (MR) analyses. We utilized 11 independent single-nucleotide polymorphisms associated with COPD to perform two-sample MR analyses on 2 AKI datasets (GCST90018790 and ACUTERENFAIL). Inverse variance weighted (IVW), weighted median, MR-Egger, and weighted mode methods were employed to estimate causal effects. Sensitivity analyses included MR-Egger intercept tests for directional pleiotropy and Cochran Q tests for heterogeneity. A reverse MR analysis </description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-16T05:04:57.225Z</modification><creation>2026-07-09T10:37:43.844Z</creation></dates><accession>S-EPMC12908769</accession><cross_references><pubmed>41686622</pubmed><doi>10.1097/MD.0000000000047337</doi></cross_references></HashMap>