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Meta-Analysis
. 2023 Jun 1;44(21):1927-1939.
doi: 10.1093/eurheartj/ehad142.

Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study

Hao Yu Chen  1   2 Christian Dina  3 Aeron M Small  4 Christian M Shaffer  5 Rebecca T Levinson  5 Anna Helgadóttir  6 Romain Capoulade  3 Hans Markus Munter  7 Andreas Martinsson  8   9 Benjamin J Cairns  10 Linea C Trudsø  11 Mary Hoekstra  1   2 Hannah A Burr  1   2 Thomas W Marsh  2   12 Scott M Damrauer  13 Line Dufresne  2 Solena Le Scouarnec  3 David Messika-Zeitoun  14   15 Dilrini K Ranatunga  16 Rachel A Whitmer  17 Amélie Bonnefond  18   19 Garðar Sveinbjornsson  6 Ragnar Daníelsen  20 David O Arnar  6   20   21 Gudmundur Thorgeirsson  6   21 Unnur Thorsteinsdottir  6   21 Daníel F Gudbjartsson  6   22 Hilma Hólm  6 Jonas Ghouse  11 Morten Salling Olesen  11 Alex H Christensen  11   23 Susan Mikkelsen  24 Rikke Louise Jacobsen  25 Joseph Dowsett  25 Ole Birger Vesterager Pedersen  26 Christian Erikstrup  24   27 Sisse R Ostrowski  25   28 Regeneron Genetics CenterChristopher J O'Donnell  29 Matthew J Budoff  30 Vilmundur Gudnason  31 Wendy S Post  32 Jerome I Rotter  33 Mark Lathrop  7   12 Henning Bundgaard  34 Bengt Johansson  35 Johan Ljungberg  35 Ulf Näslund  35 Thierry Le Tourneau  3 J Gustav Smith  8   36   9 Quinn S Wells  5 Stefan Söderberg  35 Kári Stefánsson  6   21 Jean-Jacques Schott  3 Daniel J Rader  37 Robert Clarke  10 James C Engert  1   2   12 George Thanassoulis  1   2
Affiliations
Meta-Analysis

Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study

Hao Yu Chen et al. Eur Heart J. .

Abstract

Aims: Although highly heritable, the genetic etiology of calcific aortic stenosis (AS) remains incompletely understood. The aim of this study was to discover novel genetic contributors to AS and to integrate functional, expression, and cross-phenotype data to identify mechanisms of AS.

Methods and results: A genome-wide meta-analysis of 11.6 million variants in 10 cohorts involving 653 867 European ancestry participants (13 765 cases) was performed. Seventeen loci were associated with AS at P ≤ 5 × 10-8, of which 15 replicated in an independent cohort of 90 828 participants (7111 cases), including CELSR2-SORT1, NLRP6, and SMC2. A genetic risk score comprised of the index variants was associated with AS [odds ratio (OR) per standard deviation, 1.31; 95% confidence interval (CI), 1.26-1.35; P = 2.7 × 10-51] and aortic valve calcium (OR per standard deviation, 1.22; 95% CI, 1.08-1.37; P = 1.4 × 10-3), after adjustment for known risk factors. A phenome-wide association study indicated multiple associations with coronary artery disease, apolipoprotein B, and triglycerides. Mendelian randomization supported a causal role for apolipoprotein B-containing lipoprotein particles in AS (OR per g/L of apolipoprotein B, 3.85; 95% CI, 2.90-5.12; P = 2.1 × 10-20) and replicated previous findings of causality for lipoprotein(a) (OR per natural logarithm, 1.20; 95% CI, 1.17-1.23; P = 4.8 × 10-73) and body mass index (OR per kg/m2, 1.07; 95% CI, 1.05-1.9; P = 1.9 × 10-12). Colocalization analyses using the GTEx database identified a role for differential expression of the genes LPA, SORT1, ACTR2, NOTCH4, IL6R, and FADS.

Conclusion: Dyslipidemia, inflammation, calcification, and adiposity play important roles in the etiology of AS, implicating novel treatments and prevention strategies.

Keywords: Aortic stenosis; Gene expression; Genetic risk score; Genome-wide association study; Mendelian randomization; Phenome-wide association study.

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Conflict of interest statement

Conflict of interest Scott M. Damrauer receives research support (to the University of Pennsylvania) from RenalytixAI and personal fees from Caico Ibs, both outside the scope of the present work. SMD is also named as a co-inventor on a government-owned US Patent application related to the use of genetic risk prediction for venous thromboembolic disease filed by the US Department of Veterans Affairs in accordance with Federal regulatory requirements. SMD is named as a co-inventor on a Government-owned US Patent application related to the use of PDE3B inhibition for preventing cardiovascular disease filed by the US Department of Veterans Affairs in accordance with Federal regulatory requirements. Stefan Söderberg has received speaker honoraria and consulting fees from Actelion Ltd. George Thanassoulis has received consulting fees from Ionis Pharmaceuticals and has participated in advisory boards for Amgen, Sanofi, Novartis, HLS Therapeutics and Silence. Morten Salling Olesen has received 5.000.000 dkrfra Sundhedsdonationer.Journalnr. 2022-0243. David O. Arnar has received travel support from Pfizer to attend the ESC 2022 Scientific Meeting in Barcelona and has stock options in Sidekick Health Digital Therapeutics. Henning Bundgaard has received lecture fees from Amgen, MSD, Sanofi-Avensis, BMS and grants from NordForsk, Innovation Fond, Denmark, The Capital Regions Research Foundation. Alex Hoerby Christensen—Novo Nordisk Foundation NNF20OC0065799. Romaine Capoulade has received an Honorarium for one lecture from Novartis. Robert Clarke has received support from BAYER (China Kadoorie Biobank). Unnur Thorsteinsdottir’s research is funded by deCODE genetics/Amgen. Daniel F. Gudbjartsson receives funds from deCODE Genetics/Amgen. Until 1 June 2022, Gudmundur Thorgeirsson was a part time employee of deCode Genetics that is owned by Amgen. Hilma Holm is an employee of deCODE genetics/Amgen Inc. Anna Helgadottir is an employee of deCODE genetics/Amgen Inc.

Figures

Structured Graphical Abstract
Structured Graphical Abstract
Genetic etiology of aortic stenosis. This study meta-analyzed 13 765 AS cases vs. 640 102 controls and confirmed 15 genetic loci associated with AS. Downstream analyses implicated additional candidate genes involved in dyslipidemia, inflammation, calcification, and adiposity. The Manhattan plot shows variants with P ≥ 1 × 10−25, for improved visualization. Genetic loci in grey were previously identified, and those in gold are new discoveries. Abbreviations: AS, aortic stenosis; GWAS, genome-wide association study; LDL, low-density lipoprotein.
Figure 1
Figure 1
Design of the genome-wide meta-analysis and follow-up analyses. Abbreviations: ANNOVAR, Annotate Variation; CADD, Combined Annotation Dependent Depletion; DANN, Deleterious Annotation of genetic variants using Neural Networks; EIGEN-PC, Eigen-Principal Component; FANTOM5, Functional Annotation of the Mammalian Genome version 5; FATHMM-MKL, Functional Analysis Through Hidden Markov Models-Multiple Kernel Learning; GCTA COJO, Genome-wide Complex Trait Analysis Conditional and Joint Association Analysis; GIGSEA, Genotype Imputed Gene Set Enrichment Analysis; GO, Gene Ontology; GTEx, Genotype-Tissue Expression project; KEGG, Kyoto Encyclopedia of Genes and Genomics; LDSC, Linkage Disequilibrium Score Regression; LINSIGHT, Linear INSIGHT; MAGMA, Multi-marker Analysis of Genomic Annotation; UCSC, University of California Santa Cruz Genome Browser.
Figure 2
Figure 2
P for the association of 11 591 806 variants with aortic stenosis in the meta-analysis. The inset shows all associations, while the main plot shows variants with P ≥ 1 × 10−25, for improved visualization. Genetic loci in grey were previously identified and those in gold are new discoveries.
Figure 3
Figure 3
Association of aortic stenosis variants with biomarkers, physiological measurements, and diseases. Variants were ordered to reflect similarity in their associations with traits and vice versa. The strength and direction of associations are represented by cells of different colors, with blue cells indicating positive effects on the odds of aortic stenosis and red cells indicating inverse associations. For ease of visualization, Z statistics >5 or less than −5 were rounded to 5 and −5, respectively.

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