CoChat
Sign Up
Cited by 269Cardiomyopathy and Myosin StudiesGenetic Associations and EpidemiologyCardiac electrophysiology and arrhythmias

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Open access
Pirruccello, James P., Bick, Alexander, Wang, Minxian, Chaffin, Mark, Friedman, Samuel, Yao, Jie, Guo, Xiuqing, Venkatesh, Bharath Ambale, Taylor, Kent D., Post, Wendy S., Rich, Stephen, Lima, Joao A. C., Rotter, Jerome I., Philippakis, Anthony, Lubitz, Steven A., Ellinor, Patrick T., Khera, Amit V., Kathiresan, Sekar, Aragam, Krishna G.·2020·Nature Communications
DOI 10.1038/s41467-020-15823-7PMC PMC7206184
Open this paper in CoChat — free accountOpen PDF

Abstract

Dilated cardiomyopathy (DCM) is an important cause of heart failure and the leading indication for heart transplantation. Many rare genetic variants have been associated with DCM, but common variant studies of the disease have yielded few associated loci. As structural changes in the heart are a defining feature of DCM, we report a genome-wide association study of cardiac magnetic resonance imaging (MRI)-derived left ventricular measurements in 36,041 UK Biobank participants, with replication in 2184 participants from the Multi-Ethnic Study of Atherosclerosis. We identify 45 previously unreported loci associated with cardiac structure and function, many near well-established genes for Mendelian cardiomyopathies. A polygenic score of MRI-derived left ventricular end systolic volume strongly associates with incident DCM in the general population. Even among carriers of TTN truncating mutations, this polygenic score influences the size and function of the human heart. These results further implicate common genetic polymorphisms in the pathogenesis of DCM.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-020-15823-7

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Manhattan plots of genome-wide association discovery analyses of cardiac MRI phenotypes. For each cardiac MRI phenotype, the −log10(P value) is graphed on the y axis at each chromosomal position on the x-axis. P is the BOLT-LMM P value. The nearest gene to each genome-wide significant lead SNP is labeled at each locus, except when a cardiomyopathy-related gene is present within 500 kb of the lead SNP. SNPs are colored blue near loci that have previously been observed in common genetic analyses using cardiac traits (TTE or cardiac MRI). SNPs are colored red near loci that were previously unreported.
Fig. 1 Manhattan plots of genome-wide association discovery analyses of cardiac MRI phenotypes. For each cardiac MRI phenotype, the −log10(P value) is graphed on the y axis at each chromosomal position on the x-axis. P is the BOLT-LMM P value. The nearest gene to each genome-wide significant lead SNP is labeled at each locus, except when a cardiomyopathy-related gene is present within 500 kb of the lead SNP. SNPs are colored blue near loci that have previously been observed in common genetic analyses using cardiac traits (TTE or cardiac MRI). SNPs are colored red near loci that were previously unreported.CC BY · PubMed Central
Fig. 2 PheWAS highlights the connection between a polygenic score for LVESVi and dilated cardiomyopathy. The polygenic score derived from LVESVi was applied to PheCodes (panel a) and curated disease phenotypes (panel b) in the UK Biobank. Each of the curated phenotypes is defined in Supplementary Table 1. For both panels (a) and (b), the x-axis represents the identifying code for the disease phenotype. The y-axis represents the −log10 of the P value of the association between the polygenic score and the phenotype in a logistic model adjusted for age at enrollment, the genotyping array, sex, and the first five principal components of ancestry. Triangles oriented upward represent betas that are concordant with the LVESVi PRS (e.g., a higher LVESVi PRS corresponds with a higher risk of DCM), and the reverse is true for downward-oriented triangles. The three most strongly associated phenotypes in each panel are labeled in the figure. The triangles in panel (a) are colored by three-digit PheCode. The triangles in panel (b) are colored red if positively correlated with the LVESVi polygenic score, and blue if negatively correlated. The PheWAS plots for all seven cardiac MRI phenotypes are available in Supplementary Fig. 7.
Fig. 2 PheWAS highlights the connection between a polygenic score for LVESVi and dilated cardiomyopathy. The polygenic score derived from LVESVi was applied to PheCodes (panel a) and curated disease phenotypes (panel b) in the UK Biobank. Each of the curated phenotypes is defined in Supplementary Table 1. For both panels (a) and (b), the x-axis represents the identifying code for the disease phenotype. The y-axis represents the −log10 of the P value of the association between the polygenic score and the phenotype in a logistic model adjusted for age at enrollment, the genotyping array, sex, and the first five principal components of ancestry. Triangles oriented upward represent betas that are concordant with the LVESVi PRS (e.g., a higher LVESVi PRS corresponds with a higher risk of DCM), and the reverse is true for downward-oriented triangles. The three most strongly associated phenotypes in each panel are labeled in the figure. The triangles in panel (a) are colored by three-digit PheCode. The triangles in panel (b) are colored red if positively correlated with the LVESVi polygenic score, and blue if negatively correlated. The PheWAS plots for all seven cardiac MRI phenotypes are available in Supplementary Fig. 7.CC BY · PubMed Central
Fig. 3 The LVESVi polygenic score influences the risk for incident dilated cardiomyopathy. The cumulative DCM incidence (defined as 1 minus the Kaplan–Meier survival estimate) is plotted for individuals in the bottom tenth percentile (blue), middle 80% (gray), and top tenth percentile (red) for the LVESVi polygenic score. The 95% confidence intervals (derived from the standard error of the cumulative hazard) are represented with lighter colors. The x-axis represents the number of years since enrollment in the UK Biobank. The y-axis represents the cumulative incidence of DCM.
Fig. 3 The LVESVi polygenic score influences the risk for incident dilated cardiomyopathy. The cumulative DCM incidence (defined as 1 minus the Kaplan–Meier survival estimate) is plotted for individuals in the bottom tenth percentile (blue), middle 80% (gray), and top tenth percentile (red) for the LVESVi polygenic score. The 95% confidence intervals (derived from the standard error of the cumulative hazard) are represented with lighter colors. The x-axis represents the number of years since enrollment in the UK Biobank. The y-axis represents the cumulative incidence of DCM.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 70 references

Cited by

Sorted by citations

See all 269

Related

Metadata

Authors
Pirruccello, J. P., Bick, A., Wang, M., Chaffin, M., Friedman, S., Yao, J., Guo, X., Venkatesh, B. A., Taylor, K. D., Post, W. S., Rich, S., Lima, J. A. C., Rotter, J. I., Philippakis, A., Lubitz, S. A., Ellinor, P. T., Khera, A. V., Kathiresan, S., & Aragam, K. G.
Affiliations
  • Broad Institute (US)
  • The Lundquist Institute (US)
  • Johns Hopkins University (US)
  • University of Virginia (US)
Corresponding author
Aragam, Krishna G.
ORCID
Venue
Nature Communications
Publisher
Springer Science and Business Media LLC
Published
2020-05-07
Volume
11
Issue
1
Pages
2254-2254
ISSN
2041-1723 (ISSN-L)
DOI
10.1038/s41467-020-15823-7
PMC
PMC7206184
OpenAlex
W3023537913
Cited by
267
References
70
Citations by year
2026: 33 · 2025: 42 · 2024: 45 · 2023: 58 · 2022: 51 · 2021: 32 · 2020: 6
FWCI
22.74
Type
journal article
Language
en
Open access
Licence
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • John S LaDue Memorial Fellowship for Cardiovascular Research
  • Foundation for the National Institutes of Health (1R01HL139731, R01HL128914, K24HL105780, HL127564)
  • American Heart Association (18SFRN34250007, 18SFRN34110082, 17IFUNP33840012)
  • Fondation Leducq (14CVD01)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiomyopathy and Myosin Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords
dilated cardiomyopathy, cardiac magnetic resonance imaging, left ventricular end-systolic volume, genome-wide association study, polygenic risk score, common genetic variants, cardiac structure and function, heart failure, heart transplantation
MeSH terms
Cardiomyopathy, Dilated, Heart, Humans, Magnetic Resonance Imaging, Myocardium, Polymorphism, Single Nucleotide, Genome-Wide Association Study

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review