Identifying Novel Gene Variants in Coronary Artery Disease and Shared Genes with Several Cardiovascular Risk Factors

Marissa Leblanc, Verena Zuber, Bettina Kulle Andreassen, Aree Witoelar, Lingyao Zeng, Francesco Bettella, Yunpeng Wang, Linda K. McEvoy, Wesley K. Thompson, Andrew J. Schork, Sjur Reppe, Elizabeth Barrett-Connor, Symen Ligthart, Abbas Dehghan, Kaare M. Gautvik, Christopher P. Nelson, Heribert Schunkert, Nilesh J. Samani, Paul M. Ridker, Daniel I. ChasmanPål Aukrust, Srdjan Djurovic, Arnoldo Frigessi, Rahul S. Desikan, Anders M. Dale, Ole A. Andreassen

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Rationale: Coronary artery disease (CAD) is a critical determinant of morbidity and mortality. Previous studies have identified several cardiovascular disease risk factors, which may partly arise from a shared genetic basis with CAD, and thus be useful for discovery of CAD genes. Objective: We aimed to improve discovery of CAD genes and inform the pathogenic relationship between CAD and several cardiovascular disease risk factors using a shared polygenic signal-informed statistical framework. Methods and Results: Using genome-wide association studies summary statistics and shared polygenic pleiotropy-informed conditional and conjunctional false discovery rate methodology, we systematically investigated genetic overlap between CAD and 8 traits related to cardiovascular disease risk factors: low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, type 2 diabetes mellitus, C-reactive protein, body mass index, systolic blood pressure, and type 1 diabetes mellitus. We found significant enrichment of single-nucleotide polymorphisms associated with CAD as a function of their association with low-density lipoprotein, high-density lipoprotein, triglycerides, type 2 diabetes mellitus, C-reactive protein, body mass index, systolic blood pressure, and type 1 diabetes mellitus. Applying the conditional false discovery rate method to the enriched phenotypes, we identified 67 novel loci associated with CAD (overall conditional false discovery rate <0.01). Furthermore, we identified 53 loci with significant effects in both CAD and at least 1 of low-density lipoprotein, high-density lipoprotein, triglycerides, type 2 diabetes mellitus, C-reactive protein, systolic blood pressure, and type 1 diabetes mellitus. Conclusions: The observed polygenic overlap between CAD and cardiometabolic risk factors indicates a pathogenic relation that warrants further investigation. The new gene loci identified implicate novel genetic mechanisms related to CAD.

Original languageEnglish
Pages (from-to)83-94
Number of pages12
JournalCirculation Research
Volume118
Issue number1
DOIs
StatePublished - 8 Jan 2016

Keywords

  • Women's Genome Health Study
  • coronary artery disease
  • coronary heart disease
  • genetic pleiotropy
  • genome-wide association study
  • lipids
  • molecular epidemiology
  • myocardial infarction

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