Shared genetic etiology and causality between body fat percentage and cardiovascular diseases: a large-scale genome-wide cross-trait analysis

摘要

Overall study design. Multiple GWAS data sources were first retrieved. We first conducted genome-wide genetic correlation between BF% and 10 cardiovascular disease (CVD)-related traits. For CVD traits that were shown significant genetic correlation with BF%, we conducted further post-GWAS analyses to investigate genetic overlap between them (variant/region/functional levels, and causal inference). GWAS: genome-wide association study; GIANT: Genetic Investigation of ANthropometric Traits; MAGIC: Meta-Analyses of Glucose and Insulin-related traits Consortium; DIAGRAM: DIAbetes Genetics Replication And Meta-analysis; CARDIoGRAMplusC4D: the Coronary ARtery DIsease Genome wide Replication and Meta-analysis (CARDIoGRAM) plus the Coronary Artery Disease (C4D) Genetics (CARDIoGRAMplusC4D) consortium; HERMES: Heart Failure Molecular Epidemiology for Therapeutic Targets; GOCHA: Genetics of Cerebral Hemorrhage with Anticoagulation; SiGN: the NINDS Stroke Genetics Network; ISGC: International Stroke Genetics Consortium; GLGC: The Global Lipids Genetics; MTAG, multi-trait analysis of genome-wide association studies