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Meta-Analysis
. 2024 Jun;17(3):e004320.
doi: 10.1161/CIRCGEN.123.004320. Epub 2024 May 28.

Meta-Analysis of Genome-Wide Association Studies Reveals Genetic Mechanisms of Supraventricular Arrhythmias

Lu-Chen Weng #  1   2   3 Shaan Khurshid #  4   2 Amelia Weber Hall #  5 Victor Nauffal  2   3 Valerie N Morrill  2 Yan V Sun  6   7 Joel T Rämö  2   8 Dominik Beer  9 Simon Lee  10 Girish Nadkarni  10 Renee Johnson  11   12 Laura Andreasen  13   14 Anne Clayton  15 Clive R Pullinger  16 Zachary T Yoneda  17 Daniel J Friedman  18 Matthew C Hyman  19 Renae L Judy  20 Allan C Skanes  21 Kate M Orland  22 Paloma Jordà  23 Timothy M Treu  3 Matthew T Oetjens  24 Rajesh Subbiah  11   25   12 Jacob P Hartmann  13 Heidi T May  15 John P Kane  26   27 Tariq Z Issa  28 Navid A Nafissi  18 Peter Leong-Sit  21 Marie-Pierre Dubé  23   29 Carolina Roselli  2   30 Seung Hoan Choi  2 FinnGen, Million Veteran Program, Regeneron Genetics CenterJean-Claude Tardif  23 Habib R Khan  21 Stacey Knight  15   31 Jesper H Svendsen  13   32 Bruce Walker  25   12 Richard Karlsson Linnér  24   33 J Michael Gaziano  3   34 Rafik Tadros  23 Diane Fatkin  11   25   12 Daniel J Rader  35 Svati H Shah  18   36 Dan M Roden  37 Gregory M Marcus  38 Ruth J F Loos  39 Scott M Damrauer  40   41 Christopher M Haggerty  9   42 Kelly Cho  3 Aarno Palotie  43   44   8 Morten S Olesen  13   14 Lee L Eckhardt  22 Jason D Roberts  21 Michael J Cutler  15 M Benjamin Shoemaker  17 Peter W F Wilson  45 Patrick T Ellinor  4   2   7 Steven A Lubitz  4   2
Affiliations
Meta-Analysis

Meta-Analysis of Genome-Wide Association Studies Reveals Genetic Mechanisms of Supraventricular Arrhythmias

Lu-Chen Weng et al. Circ Genom Precis Med. 2024 Jun.

Abstract

Background: Substantial data support a heritable basis for supraventricular tachycardias, but the genetic determinants and molecular mechanisms of these arrhythmias are poorly understood. We sought to identify genetic loci associated with atrioventricular nodal reentrant tachycardia (AVNRT) and atrioventricular accessory pathways or atrioventricular reciprocating tachycardia (AVAPs/AVRT).

Methods: We performed multiancestry meta-analyses of genome-wide association studies to identify genetic loci for AVNRT (4 studies) and AVAP/AVRT (7 studies). We assessed evidence supporting the potential causal effects of candidate genes by analyzing relations between associated variants and cardiac gene expression, performing transcriptome-wide analyses, and examining prior genome-wide association studies.

Results: Analyses comprised 2384 AVNRT cases and 106 489 referents, and 2811 AVAP/AVRT cases and 1,483 093 referents. We identified 2 significant loci for AVNRT, which implicate NKX2-5 and TTN as disease susceptibility genes. A transcriptome-wide association analysis supported an association between reduced predicted cardiac expression of NKX2-5 and AVNRT. We identified 3 significant loci for AVAP/AVRT, which implicate SCN5A, SCN10A, and TTN/CCDC141. Variant associations at several loci have been previously reported for cardiac phenotypes, including atrial fibrillation, stroke, Brugada syndrome, and electrocardiographic intervals.

Conclusions: Our findings highlight gene regions associated with ion channel function (AVAP/AVRT), as well as cardiac development and the sarcomere (AVAP/AVRT and AVNRT) as important potential effectors of supraventricular tachycardia susceptibility.

Keywords: atrial fibrillation; genome-wide association study; heart rate; heart ventricles; tachycardia, supraventricular.

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Conflict of interest statement

Disclosures Dr Lubitz is a full-time employee of Novartis as of July 2022. Previously, Dr Lubitz received research support from Bristol Myers Squibb/Pfizer, Bayer AG, Boehringer Ingelheim, Fitbit, IBM, Medtronic, and Premier, Inc, and consulted for Bristol Myers Squibb/Pfizer, Bayer AG, Blackstone Life Sciences, and Invitae. Dr Ellinor receives research support from Bayer AG, IBM, and Bristol Myers Squibb/Pfizer and has consulted for Novartis, MyoKardia, and Bayer AG. Dr Damrauer receives research support for RenalytixAI and has consulted for Calico Labs. Dr Svendsen is a member of Medtronic advisory boards and has received speaker honoraria and research grants from Medtronic outside this work. Dr Cutler has consulted for Janssen Scientific. Dr Roselli is supported by a grant from Bayer AG to the Broad Institute focused on the development of therapeutics for cardiovascular disease. The other authors report no conflicts.

Figures

Figure 1.
Figure 1.
Study design. Chart summarizes study design. We performed a meta-analysis of genome-wide association studies (GWAS), with 7 datasets contributing to analysis of Atrioventricular Accessory Pathways or Atrioventricular Reciprocating Tachycardia (AVAP/AVRT, n=2,811 cases), and 4 contributing to Atrioventricular Nodal Reentrant Tachycardia (AVNRT, n=2,384 cases). We prioritized candidate genes using expression quantitative trait loci (eQTL) in atrial appendage and left ventricle tissue, transcriptome analysis in atrial appendage and left ventricle tissue and assessment of identified variants in prior cardiovascular GWAS.
Figure 2.
Figure 2.
Manhattan plot for AVNRT. Manhattan plot for the AVNRT meta-analysis. P-value is presented in −log10 scale for each association test between variant and AVNRT from fixed-effects meta-analysis of 106,489 multi-ancestry individuals (2,384 cases). The red line indicates genome-wide significance (p=5×10−8), and the blue line indicates suggestive significance (p=1×10−6). Candidate genes are labeled in black (genome-wide significance) or gray (suggestive significance).
Figure 3.
Figure 3.
Manhattan plot for AVAP/AVRT. Manhattan plot for AVAP/AVRT meta-analysis. P-value is presented in −log10 scale for each association test between SNP and AVAP/AVRT from fixed-effects meta-analysis of 1,483,093 multi-ancestry individuals (2,384 cases). The red line indicates genome-wide significance (p=5×10−8), and the blue line indicates suggestive significance (p=1×10−6). Candidate genes are labeled in black (genome-wide significance) or gray (suggestive significance).
Figure 4.
Figure 4.
Summary of results. Depicted is a summary of candidate genes and their functions. Genome-wide significant associations are depicted in black and underlined with larger font, while suggestive associations are depicted in black with smaller font. Associations seen in conditional analysis are starred. Additional associations seen in European ancestry-only analyses are double-starred.

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