Evidence map›Paper›PMID 25720628›Full record

ReviewJournal of the American College of Cardiology2015

Genome-wide significant loci: how important are they? Systems genetics to understand heritability of coronary artery disease and other common complex disorders.

Johan L M Björkegren, Jason C Kovacic, Joel T Dudley, Eric E Schadt

Abstract readReview
In one paragraph

Review in Journal of the American College of Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Integrative Prioritization of Causal Genes for Coronary Artery Disease.Circulation. Genomic and precision medicine · 2022
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23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Johan L M BjörkegrenDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York; Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Division of Vascular Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden; Department of Pathological Anatomy and Forensic Medicine, University of Tartu, Tartu, Estonia. Electronic address: johan.bjorkegren@mssm.edu.
Jason C KovacicCardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Joel T DudleyDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York.
Eric E SchadtDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York.

Funding

User Interface PortalU54CA189201 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DUDLEY, JOEL THOMAS, MA'AYAN, AVI · 2014 to 2017
$1.9M
Methods for Evolutionary Informed Network Analysis to Discover Disease VariationR01DK098242 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DUDLEY, JOEL THOMAS · 2013 to 2016
$1.7M
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
NCI NIH HHS U54 CA189201NHLBI NIH HHS K08 HL111330NHLBI NIH HHS K08HL111330NIDDK NIH HHS R01 DK098242
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have been extensively used to study common complex diseases such as coronary artery disease (CAD), revealing 153 suggestive CAD loci, of which at least 46 have been validated as having genome-wide significance. However, these loci collectively explain <10% of the genetic variance in CAD. Thus, we must address the key question of what factors constitute the remaining 90% of CAD heritability. We review possible limitations of GWAS, and contextually consider some candidate CAD loci identified by this method. Looking ahead, we propose systems genetics as a complementary approach to unlocking the CAD heritability and etiology. Systems genetics builds network models of relevant molecular processes by combining genetic and genomic datasets to ultimately identify key "drivers" of disease. By leveraging systems-based genetic approaches, we can help reveal the full genetic basis of common complex disorders, enabling novel diagnostic and therapeutic opportunities.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyCoronary Artery DiseaseGenetic LociGenetic VariationHumansPolymorphism, Single NucleotideRisk Factorsatherosclerosisatherosclerotic plaquegenome-wide association studymyocardial infarctionprimary preventionregulatory gene networks

Identifiers

PMID25720628
PMCPMC4374657

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Registered trials

None linked

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.