An Exploration of Shared Risk Factors for Coronary Artery Disease and Cancer from 109 Traits: The Evidence from Two-Sample Mendelian Randomization Studies
Rong Xu, Rumeng Chen, Shuling Xu, Yining Ding, Tingjin Zheng, Chaoqun Ouyang, Xiaoming Ding, Linlin Chen, Wenzhou Zhang, Chenjin Ge, Sen Li
TL;DR
This study uses genetic data to find shared and unique risk factors for heart disease and cancer, identifying protective and harmful traits like cell volume and weight.
Contribution
The study systematically identifies shared and unique causal risk factors for coronary artery disease and cancer using two-sample Mendelian randomization.
Findings
Genetic-predicted mean sphered cell volume (MSCV) is protective for both CAD and cancer.
Weight is a risk factor for both CAD and cancer.
Telomere length is a unique risk or protective factor for CAD or cancer.
Abstract
Although observational studies have reported several common biomarkers related to coronary artery disease (CAD) and cancer, there is a shortage of traditional epidemiological data to establish causative linkages. Thus, we conducted a comprehensive two-sample Mendelian randomization (MR) analysis to systematically investigate the causal associations of 109 traits with both CAD and cancer to identify their shared risk and protective factors. The genetic association datasets pertaining to exposure and outcomes were reviewed using the most recent and public genome-wide association studies (GWAS). Inverse variance weighting (IVW), weighted median (WM), and MR-Egger strategies were implemented for the MR analyses. The heterogeneity and pleiotropy were measured utilizing leave-one-out sensitivity testing, MR-PRESSO outlier detection, and Cochran’s Q test. The IVW analyses revealed…
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Taxonomy
TopicsGenetic Associations and Epidemiology · Nutrition, Genetics, and Disease · Liver Disease Diagnosis and Treatment