Abstract

Large genome-wide association studies (GWAS) have identified many genetic loci associated with risk for myocardial infarction (MI) and coronary artery disease (CAD). Concurrently, efforts such as the National Institutes of Health (NIH) Roadmap Epigenomics Project and the Encyclopedia of DNA Elements (ENCODE) Consortium have provided unprecedented data on functional elements of the human genome. In the present study, we systematically investigate the biological link between genetic variants associated with this complex disease and their impacts on gene function. First, we examined the heritability of MI/CAD according to genomic compartments. We observed that single nucleotide polymorphisms (SNPs) residing within nearby regulatory regions show significant polygenicity and contribute between 59–71% of the heritability for MI/CAD. Second, we showed that the polygenicity and heritability explained by these SNPs are enriched in histone modification marks in specific cell types. Third, we found that a statistically higher number of 45 MI/CAD-associated SNPs that have been identified from large-scale GWAS studies reside within certain functional elements of the genome, particularly in active enhancer and promoter regions. Finally, we observed significant heterogeneity of this signal across cell types, with strong signals observed within adipose nuclei, as well as brain and spleen cell types. These results suggest that the genetic etiology of MI/CAD is largely explained by tissue-specific regulatory perturbation within the human genome.

Highlights

  • Coronary artery disease (CAD) and myocardial infarction (MI) remain among the leading causes of infirmity and death worldwide despite advances in and widespread adoption of medical therapies treating this disease

  • By intersecting findings from large-scale genetic association studies with functional genomic annotations, we show that genetic markers located in genomic regions that regulate expression of genes make up a large proportion of the genetic risk of MI/CAD

  • We performed two different analyses: 1) polygenic risk score analysis, where we test association of a genetic score comprised of multiple single nucleotide polymorphisms (SNPs) and 2) SNP-heritability analysis, where we estimate the variance in liability to MI/CAD [21]

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Summary

Introduction

Coronary artery disease (CAD) and myocardial infarction (MI) remain among the leading causes of infirmity and death worldwide despite advances in and widespread adoption of medical therapies treating this disease. Large-scale genome-wide association studies (GWAS) have identified common single nucleotide polymorphisms (SNPs) at 45 loci associated with MI/CAD risk [2,3,4,5,6,7,8]. These newly discovered loci have led to important new biological insights for MI/CAD [9,10], the proportion of the heritability explained by these loci represents approximately 15% of the estimated heritability [8]. This phenomenon has been observed with GWAS for other complex diseases [11]

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