Statistical and Functional Studies Identify Epistasis of Cardiovascular Risk Genomic Variants From Genome‐Wide Association Studies

Author:

Li Yabo123ORCID,Cho Hyosuk234ORCID,Wang Fan23ORCID,Canela‐Xandri Oriol56ORCID,Luo Chunyan7,Rawlik Konrad6ORCID,Archacki Stephen23ORCID,Xu Chengqi7ORCID,Tenesa Albert56ORCID,Chen Qiuyun23ORCID,Wang Qing Kenneth234ORCID

Affiliation:

1. College of Life Sciences Lanzhou University Lanzhou Gansu Province P. R. China

2. Department of Cardiovascular and Metabolic Sciences Lerner Research Institute Cleveland Clinic Cleveland OH

3. Department of Molecular Medicine Cleveland Clinic Lerner College of Medicine of Case Western Reserve University Cleveland OH

4. Department of Genetics and Genome Sciences Case Western Reserve University School of Medicine Cleveland OH

5. MRC Human Genetics Unit at the MRC IGMM Western General Hospital University of Edinburgh United Kingdom

6. The Roslin Institute Royal (Dick) School of Veterinary Studies The University of Edinburgh, Easter Bush Campus Midlothian Edinburgh Scotland

7. Key Laboratory of Molecular Biophysics College of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei China

Abstract

Background Epistasis describes how gene‐gene interactions affect phenotypes, and could have a profound impact on human diseases such as coronary artery disease ( CAD ). The goal of this study was to identify gene‐gene interactions in CAD using an easily generalizable multi‐stage approach. Methods and Results Our forward genetic approach consists of multiple steps that combine statistical and functional approaches, and analyze information from global gene expression profiling, functional interactions, and genetic interactions to robustly identify gene‐gene interactions. Global gene expression profiling shows that knockdown of ANRIL (DQ485454) at 9p21.3 GWAS (genome‐wide association studies) CAD locus upregulates TMEM 100 and TMEM 106B . Functional studies indicate that the increased monocyte adhesion to endothelial cells and transendothelial migration of monocytes, 2 critical processes in the initiation of CAD , by ANRIL knockdown are reversed by knockdown of TMEM 106B , but not of TMEM 100 . Furthermore, the decreased monocyte adhesion to endothelial cells and transendothelial migration of monocytes induced by ANRIL overexpression was reversed by overexpressing TMEM 106B . TMEM 106B expression was upregulated by >2‐fold in CAD coronary arteries. A significant association was found between variants in TMEM 106B (but not in TMEM 100 ) and CAD ( P =1.9×10 −8 ). Significant gene‐gene interaction was detected between ANRIL variant rs2383207 and TMEM 106B variant rs3807865 ( P =0.009). A similar approach also identifies significant interaction between rs6903956 in ADTRP and rs17465637 in MIA 3 ( P =0.005). Conclusions We demonstrate 2 pairs of epistatic interactions between GWAS loci for CAD and offer important insights into the genetic architecture and molecular mechanisms for the pathogenesis of CAD . Our strategy has broad applicability to the identification of epistasis in other human diseases.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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