DOI: 10.1161/circ.148.suppl_1.18244 ISSN: 0009-7322

Abstract 18244: A Multi-Ancestry GWAS of Calcific Aortic Stenosis Among 2.7 Million Individuals

Aeron M Small, Line Dufresne, Eric Farber-Eger, Erik Abner, Kristin Corey, Kári Stefánsson, Lincoln Nadauld, Henning Bundgaard, Jiwoo Lee, Johannes Schumacher, Teresa Trenkwalder, Stefan Soderberg, Andrea Ganna, Daniel J Rader, Marta Riise Moksnes, Meng Lin, Fabien Laporte, Susanna Larsson, Gustav Smith, Ron Do, Kaoru Ito, Hilma Holm, Yan Sun, Kelly Kim, PETER WILSON, Christopher J Odonnell, Gina Peloso, Jamie C Engert, George Thanassoulis, Pradeep Natarajan
  • Physiology (medical)
  • Cardiology and Cardiovascular Medicine

Introduction: Calcific aortic stenosis (CAS) is a common, progressive fibrocalcific pathology of the aortic valve without medical therapy. The genetics of CAS remain only partially understood.

Methods: We performed a genome wide association study (GWAS) of CAS among 2,799,598 individuals from the International Aortic Valve Genetics Consortium (IAVGC), comprising 28 cohorts. CAS was identified using a common ICD/CPT based phenotype. GWAS were meta-analyzed using inverse variance weighting with adjustment by linkage-disequilibrium score regression (LDSR) intercept. Unique genome-wide significant (GWS) loci and causal genes were annotated by nearest gene and eQTL colocalization. Genetic correlations were performed against atherosclerotic, adiposity, and lipid traits using LDSR with publicly available GWAS (CARDIoGRAMplusC4D for coronary artery disease [CAD], Million Veteran Program for peripheral artery disease [PAD], MEGASTROKE for ischemic stroke [IS], GIANT for body mass index [BMI], and GLGC for lipids).

Results: There were 85,329 individuals with CAS (79,397 White, 3,126 Black, 1,403 Hispanic, and 1,403 East Asian) among 2,799,598 individuals. Meta-analysis of GWAS resulted in 224 unique GWS genomic regions, of which 205 were novel. The majority of the GWS genomic regions (134) did not overlap with prior risk loci for CAD, PAD, IS, BMI, or lipids. Genetic correlation demonstrated modest but significant correlations between CAS and CAD ( r =0.26, p=3.3x10 -18 ), PAD ( r =0.41, p=1.4x10 -30 ), IS ( r =0.18,p=2.8x10 -7 ), BMI ( r =0.22,p=8.6x10 -30 ), and lipids (LDL-C r =0.17,p=3.6x10 -10 ;triglycerides r =0.10,p=1.9x10 -5 ; HDL-C r =-0.07,p=8.0x10 -4 ).

Conclusions: This largest to-date multi-ancestry GWAS of CAS identified 205 novel genomic regions. We demonstrate that CAS is genetically distinct from cardiometabolic traits, with only modest genetic correlations and with a majority of CAS risk loci having no overlap with cardiometabolic GWAS risk loci.

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