Evidence map›Paper›PMID 37081215›Full record

ArticleNature genetics2023

Genetics of myocardial interstitial fibrosis in the human heart and association with disease.

Victor Nauffal, Paolo Di Achille, Marcus D R Klarqvist, Jonathan W Cunningham, Matthew C Hill, James P Pirruccello, Lu-Chen Weng, Valerie N Morrill, Seung Hoan Choi, Shaan Khurshid and 8 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
16.9field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Circulating Proteins Associated With Myocardial Interstitial Fibrosis.Journal of the American Heart Association · 2025
    Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Rewiring the scar: translational advances in cardiac fibrosis.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Article
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

18 authors at 2 institutions in 2 countries.

Victor Nauffal *Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7199-299X
Paolo Di Achille *Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9256-0678
Marcus D R Klarqvist *Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7630-2708
Jonathan W Cunningham *Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4481-7867
Matthew C Hill *Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
James P PirruccelloCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6088-4037
Lu-Chen WengCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1475-4930
Valerie N MorrillCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Seung Hoan ChoiCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-2797-3190
Shaan KhurshidCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Samuel F FriedmanData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0688-2169
Mahan NekouiCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Carolina RoselliCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5267-6756
Kenney NgCenter for Computational Health, IBM Research, Cambridge, MA, USA.
Anthony A PhilippakisCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6953-3794
Puneet BatraData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6822-0593
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. ellinor@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-2067-0533
Steven A LubitzCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. slubitz@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-9599-4866
Broad Institute · USComputational Physics (United States) · US

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
Using Electrocardiogram Genetics to Inform Arrhythmia RiskR01HL157635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS, MIRSHAHI, TOORAJ · 2022 to 2025
$2.9M
Mentoring in Arrhythmia ResearchK24HL105780 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2011 to 2020
$1.2M
Deep learning to enable the genetic analysis of aortaK08HL159346 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PIRRUCCELLO, JAMES · 2021 to 2025
$827k
American Heart Association-American Stroke Association 18SFRN34250007NHLBI NIH HHS K08 HL159346NHLBI NIH HHS K24 HL105780NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL157635NHLBI NIH HHS T32 HL007208NHLBI NIH HHS T32 HL007604
6 · The paper itself

Abstract

Myocardial interstitial fibrosis is associated with cardiovascular disease and adverse prognosis. Here, to investigate the biological pathways that underlie fibrosis in the human heart, we developed a machine learning model to measure native myocardial T1 time, a marker of myocardial fibrosis, in 41,505 UK Biobank participants who underwent cardiac magnetic resonance imaging. Greater T1 time was associated with diabetes mellitus, renal disease, aortic stenosis, cardiomyopathy, heart failure, atrial fibrillation, conduction disease and rheumatoid arthritis. Genome-wide association analysis identified 11 independent loci associated with T1 time. The identified loci implicated genes involved in glucose transport (SLC2A12), iron homeostasis (HFE, TMPRSS6), tissue repair (ADAMTSL1, VEGFC), oxidative stress (SOD2), cardiac hypertrophy (MYH7B) and calcium signaling (CAMK2D). Using a transforming growth factor β1-mediated cardiac fibroblast activation assay, we found that 9 of the 11 loci consisted of genes that exhibited temporal changes in expression or open chromatin conformation supporting their biological relevance to myofibroblast cell state acquisition. By harnessing machine learning to perform large-scale quantification of myocardial interstitial fibrosis using cardiac imaging, we validate associations between cardiac fibrosis and disease, and identify new biologically relevant pathways underlying fibrosis.

Indexed as

CardiomyopathiesGenome-Wide Association StudyFibrosisHeartHumansMyocardium

Identifiers

PMID37081215
PMCPMC11107861
OpenAlexW4366495746

What OpenQuestion holds

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Read underepoch 390

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.