biostudies-literatureUnknown14Zhao QBackground: The causal direction and magnitude of the associations between blood cell count and coronary heart disease (CHD) remain uncertain due to susceptibility of reverse causation and confounding. This study aimed to investigate the associations between blood cell count and CHD using Mendelian randomization (MR). Methods: In this two-sample MR study, we identified independent blood cell count associated genetic variants from a genome-wide association studies (GWAS) among European ancestry individuals. Summary level data of CHD was obtained from a GWAS consisting of 547261 subjects. Methods of inverse variance weighted (IVW), Mendelian Randomization-Egger (MR-Egger), weighted median, and outlier test (MR-PRESSO) were conducted to investigate the associations between bloodFrontiers in genetics1127820https://www.ebi.ac.uk/biostudies/studies/S-EPMC9941875biostudies-literatureWhite blood cells and coronary heart disease: A mendelian randomization study.PMC9941875Yang XZhao QDong JBai MLiu RChen HfalseWhite blood cells and coronary heart disease: A mendelian randomization study.Background: The causal direction and magnitude of the associations between blood cell count and coronary heart disease (CHD) remain uncertain due to susceptibility of reverse causation and confounding. This study aimed to investigate the associations between blood cell count and CHD using Mendelian randomization (MR). Methods: In this two-sample MR study, we identified independent blood cell count associated genetic variants from a genome-wide association studies (GWAS) among European ancestry individuals. Summary level data of CHD was obtained from a GWAS consisting of 547261 subjects. Methods of inverse variance weighted (IVW), Mendelian Randomization-Egger (MR-Egger), weighted median, and outlier test (MR-PRESSO) were conducted to investigate the associations between blood2023-01-01T00:00:00Z20232025-08-18T09:53:08.384Z2025-04-05T23:50:56.171ZS-EPMC99418753682443310.3389/fgene.2023.1127820