Evidence map›Paper›PMID 31196451›Full record

ArticleJournal of the American College of Cardiology2019

Contribution of Gene Regulatory Networks to Heritability of Coronary Artery Disease.

Lingyao Zeng, Husain A Talukdar, Simon Koplev, Chiara Giannarelli, Torbjörn Ivert, Li-Ming Gan, Arno Ruusalepp, Eric E Schadt, Jason C Kovacic, Aldons J Lusis and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Gene Regulatory Networks in Coronary Artery Disease.Current atherosclerosis reports · 2023
    Review
  12. Cardiovascular prevention: sometimes dreams can come true.European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  13. Sudden death in ischemic heart disease: looking for new predictors: polygenic risk.European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  14. Article
  15. Cardiovascular prevention: sometimes dreams can come true.European heart journal supplements : journal of the European Society of Cardiology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Integrative Prioritization of Causal Genes for Coronary Artery Disease.Circulation. Genomic and precision medicine · 2022
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 5 countries.

Lingyao ZengDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, DZHK (German Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany.
Husain A TalukdarIntegrated Cardio Metabolic Centre, Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden.
Simon KoplevDepartment of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York.
Chiara GiannarelliDepartment of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York; Cardiovascular Research Centre, Icahn School of Medicine at Mount Sinai, New York, New York.
Torbjörn IvertDepartment of Thoracic Surgery, Karolinska University Hospital and Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Li-Ming GanCardiovascular, Renal and Metabolism Translational Medicines Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden.
Arno RuusaleppDepartment of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia; Clinical Gene Networks AB, Stockholm, Sweden.
Eric E SchadtDepartment of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York.
Jason C KovacicCardiovascular Research Centre, Icahn School of Medicine at Mount Sinai, New York, New York.
Aldons J LusisDepartments of Medicine, Cardiology, Human Genetics, Microbiology, Immunology & Molecular Genetics, University of California-Los Angeles, Los Angeles, California.
Tom MichoelClinical Gene Networks AB, Stockholm, Sweden; Division of Genetics and Genomics, The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Heribert SchunkertDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, DZHK (German Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany. Electronic address: schunkert@dhm.mhn.de.
Johan L M BjörkegrenDeutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, DZHK (German Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany; Integrated Cardio Metabolic Centre, Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden; Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York; Clinical Gene Networks AB, Stockholm, Sweden. Electronic address: johan.bjorkegren@mssm.edu.
Icahn School of Medicine at Mount Sinai · USKarolinska University Hospital · SEMünchen Klinik · DEAstraZeneca (Sweden) · SERoslin Institute · GBTartu University Hospital · EEUniversity of California, Los Angeles · US

Funding

Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Molecular studies of Noonan syndrome and related disordersR01HL071207 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GELB, BRUCE D · 2002 to 2016
$5.9M
Toward Diagnostics and Therapies of Molecular Subcategories of CADR01HL125863 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BJORKEGREN, JOHAN M · 2015 to 2018
$3.2M
Toward Therapeutic Manipulation of Endothelial to Mesenchymal TransitionR01HL130423 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ISHIKAWA, KIYOTAKE, KOVACIC, JASON CIRIL · 2016 to 2020
$2.1M
Role of alternatively spliced Tissue Factor in atherosclerosisK23HL111339 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GIANNARELLI, CHIARA · 2013 to 2017
$782k
Network-driven drug repurposing approaches to treat coronary artery diseaseR21TR001739 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BJORKEGREN, JOHAN M, GIANNARELLI, CHIARA · 2016 to 2017
$678k
Cellular and molecular mechanisms of endothelial repair and atherosclerosisK08HL111330 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVACIC, JASON CIRIL · 2012 to 2016
$647k
Dissecting the cellular and molecular immune interactions in human atherosclerosisR03HL135289 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GIANNARELLI, CHIARA · 2016 to 2017
$170k
Biotechnology and Biological Sciences Research Council BB/J004235/1Biotechnology and Biological Sciences Research Council BB/M020053/1NCATS NIH HHS R21 TR001739NHLBI NIH HHS K08 HL111330NHLBI NIH HHS K23 HL111339NHLBI NIH HHS R01 HL071207NHLBI NIH HHS R01 HL125863NHLBI NIH HHS R01 HL130423NHLBI NIH HHS R03 HL135289NIA NIH HHS R01 AG050986
6 · The paper itself

Abstract

backgroundGenetic variants currently known to affect coronary artery disease (CAD) risk explain less than one-quarter of disease heritability. The heritability contribution of gene regulatory networks (GRNs) in CAD, which are modulated by both genetic and environmental factors, is unknown.

objectivesThis study sought to determine the heritability contributions of single nucleotide polymorphisms affecting gene expression (eSNPs) in GRNs causally linked to CAD.

methodsSeven vascular and metabolic tissues collected in 2 independent genetics-of-gene-expression studies of patients with CAD were used to identify eSNPs and to infer coexpression networks. To construct GRNs with causal relations to CAD, the prior information of eSNPs in the coexpression networks was used in a Bayesian algorithm. Narrow-sense CAD heritability conferred by the GRNs was calculated from individual-level genotype data from 9 European genome-wide association studies (GWAS) (13,612 cases, 13,758 control cases).

resultsThe authors identified and replicated 28 independent GRNs active in CAD. The genetic variation in these networks contributed to 10.0% of CAD heritability beyond the 22% attributable to risk loci identified by GWAS. GRNs in the atherosclerotic arterial wall (n = 7) and subcutaneous or visceral abdominal fat (n = 9) were most strongly implicated, jointly explaining 8.2% of CAD heritability. In all, these 28 GRNs (each contributing to >0.2% of CAD heritability) comprised 24 to 841 genes, whereof 1 to 28 genes had strong regulatory effects (key disease drivers) and harbored many relevant functions previously associated with CAD. The gene activity in these 28 GRNs also displayed strong associations with genetic and phenotypic cardiometabolic disease variations both in humans and mice, indicative of their pivotal roles as mediators of gene-environmental interactions in CAD.

conclusionsGRNs capture a major portion of genetic variance and contribute to heritability beyond that of genetic loci currently known to affect CAD risk. These networks provide a framework to identify novel risk genes/pathways and study molecular interactions within and across disease-relevant tissues leading to CAD.

Indexed as

Adipose TissueAnimalsCoronary Artery DiseaseEndothelium, VascularFemaleGene Regulatory NetworksGenome-Wide Association StudyHumansMaleMiceMice, TransgenicPolymorphism, Single NucleotideSwedencoronary artery diseasegene regulatory networksheritabilitysystems genetics

Identifiers

PMID31196451
PMCPMC6590059
OpenAlexW2951047742

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.