Genome‐Wide Association Study of Pericardial Fat Area in 28 161 UK Biobank Participants

Author:

Salih Ahmed1ORCID,Ardissino Maddalena23ORCID,Wagen Aaron Z.456ORCID,Bard Andrew1ORCID,Szabo Liliana178,Ryten Mina49ORCID,Petersen Steffen E.171011ORCID,Altmann André12ORCID,Raisi‐Estabragh Zahra17ORCID

Affiliation:

1. William Harvey Research Institute, National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre Queen Mary University of London, Charterhouse Square London United Kingdom

2. National Heart and Lung Institute, Imperial College London London United Kingdom

3. Heart and Lung Research Institute, University of Cambridge Cambridge United Kingdom

4. Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health University College London London United Kingdom

5. Department of Clinical and Movement Neurosciences Queen Square Institute of Neurology London United Kingdom

6. Neurodegeneration Biology Laboratory The Francis Crick Institute London United Kingdom

7. Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield London United Kingdom

8. Semmelweis University, Heart and Vascular Center Budapest Hungary

9. NIHR Great Ormond Street Hospital Biomedical Research Centre University College London London United Kingdom

10. Health Data Research UK London United Kingdom

11. Alan Turing Institute London United Kingdom

12. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering University College London London United Kingdom

Abstract

BACKGROUND Pericardial adipose tissue (PAT) is the visceral adipose tissue compartment surrounding the heart. Experimental and observational research has suggested that greater PAT deposition might mediate cardiovascular disease, independent of general or subcutaneous adiposity. We characterize the genetic architecture of adiposity‐adjusted PAT and identify causal associations between PAT and adverse cardiac magnetic resonance imaging measures of cardiac structure and function in 28 161 UK Biobank participants. METHODS AND RESULTS The PAT phenotype was extracted from cardiac magnetic resonance images using an automated image analysis tool previously developed and validated in this cohort. A genome‐wide association study was performed with PAT area set as the phenotype, adjusting for age, sex, and other measures of obesity. Functional mapping and Bayesian colocalization were used to understand the biologic role of identified variants. Mendelian randomization analysis was used to examine potential causal links between genetically determined PAT and cardiac magnetic resonance–derived measures of left ventricular structure and function. We discovered 12 genome‐wide significant variants, with 2 independent sentinel variants (rs6428792, P =4.20×10 −9 and rs11992444, P =1.30×10 −12 ) at 2 distinct genomic loci, that were mapped to 3 potentially causal genes: T‐box transcription factor 15 ( TBX15 ), tryptophanyl tRNA synthetase 2, mitochondrial ( WARS2 ) and early B‐cell factor‐2 ( EBF2 ) through functional annotation. Bayesian colocalization additionally suggested a role of RP4‐712E4.1. Genetically predicted differences in adiposity‐adjusted PAT were causally associated with adverse left ventricular remodeling. CONCLUSIONS This study provides insights into the genetic architecture determining differential PAT deposition, identifies causal links with left structural and functional parameters, and provides novel data about the pathophysiological importance of adiposity distribution.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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