Evidence map›Paper›PMID 37017090›Full record

ArticleCirculation. Genomic and precision medicine2023

Genetic Determinants of the Interventricular Septum Are Linked to Ventricular Septal Defects and Hypertrophic Cardiomyopathy.

Mengyao Yu, Andrew R Harper, Matthew Aguirre, Maureen Pittman, Catherine Tcheandjieu, Dulguun Amgalan, Christopher Grace, Anuj Goel, Martin Farrall, Ke Xiao and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

14 authors at 7 institutions in 3 countries.

Mengyao YuDepartment of Pediatrics, Division of Pediatric Cardiology (M.Y., M.A., C.T., J.R.P.), Stanford University School of Medicine.ORCID 0000-0002-5346-535X
Andrew R HarperRadcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital (A.R.H., C.G., A.G., M.F., H.W.).ORCID 0000-0001-5327-0328
Matthew AguirreDepartment of Pediatrics, Division of Pediatric Cardiology (M.Y., M.A., C.T., J.R.P.), Stanford University School of Medicine.
Maureen PittmanUniversity of California, San Francisco (M.P., K.S.P.).ORCID 0000-0003-3714-991X
Catherine TcheandjieuDepartment of Pediatrics, Division of Pediatric Cardiology (M.Y., M.A., C.T., J.R.P.), Stanford University School of Medicine.ORCID 0000-0001-9559-4339
Dulguun AmgalanDepartment of Genetics, Stanford University, CA (D.A., J.E.).ORCID 0000-0001-6398-3372
Christopher GraceRadcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital (A.R.H., C.G., A.G., M.F., H.W.).
Anuj GoelRadcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital (A.R.H., C.G., A.G., M.F., H.W.).ORCID 0000-0003-2307-4021
Martin FarrallRadcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital (A.R.H., C.G., A.G., M.F., H.W.).ORCID 0000-0003-4564-2165
Ke XiaoCollege of Information & Computer Sciences at University of Massachusetts Amherst, MA (K.X.).ORCID 0000-0001-6453-0420
Jesse EngreitzDepartment of Genetics, Stanford University, CA (D.A., J.E.).
Katherine S PollardGladstone Institute of Data Science & Biotechnology, San Francisco (M.P., K.S.P.).ORCID 0000-0002-9870-6196
Hugh WatkinsRadcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital (A.R.H., C.G., A.G., M.F., H.W.).ORCID 0000-0002-5287-9016
James R PriestDepartment of Pediatrics, Division of Pediatric Cardiology (M.Y., M.A., C.T., J.R.P.), Stanford University School of Medicine.ORCID 0000-0002-2505-617X
Centre for Human Genetics · GBCardiovascular Institute of the South · USLucile Packard Children's Hospital · USAmherst College · USGladstone Institutes · USStanford Medicine · USUniversity of California, San Francisco · US

Funding

Mapping enhancer-gene regulation in single cells to connect genetic variants to target genes and cell typesR35HG011324 · NHGRI · STANFORD UNIVERSITY · PI ENGREITZ, JESSE M · 2020 to 2024
$2.3M
Genetic Mechanisms of Congenital Heart DiseaseR00HL130523 · NHLBI · STANFORD UNIVERSITY · PI PRIEST, JAMES R. · 2017 to 2019
$747k
British Heart Foundation CH/1992001/6764British Heart Foundation RG/18/9/33887NHGRI NIH HHS R35 HG011324NHLBI NIH HHS R00 HL130523
6 · The paper itself

Abstract

backgroundA large proportion of genetic risk remains unexplained for structural heart disease involving the interventricular septum (IVS) including hypertrophic cardiomyopathy and ventricular septal defects. This study sought to develop a reproducible proxy of IVS structure from standard medical imaging, discover novel genetic determinants of IVS structure, and relate these loci to diseases of the IVS, hypertrophic cardiomyopathy, and ventricular septal defect.

methodsWe estimated the cross-sectional area of the IVS from the 4-chamber view of cardiac magnetic resonance imaging in 32 219 individuals from the UK Biobank which was used as the basis of genome wide association studies and Mendelian randomization.

resultsMeasures of IVS cross-sectional area at diastole were a strong proxy for the 3-dimensional volume of the IVS (Pearson

conclusionsAutomated estimates of cross-sectional area of the IVS supports discovery of novel loci related to cardiac development and Mendelian disease. Inheritance of genetic liability for either small or large IVS, appears to confer risk for ventricular septal defect or hypertrophic cardiomyopathy, respectively. These data suggest that a proportion of risk for structural and congenital heart disease can be localized to the common genetic determinants of size and shape of cardiovascular anatomy.

Indexed as

Cardiomyopathy, HypertrophicHeart Septal Defects, VentricularGenome-Wide Association StudyHeartHumansMagnetic Resonance Imagingchromatingenomicshypertrophic cardiomyopathymagnetic resonance imagingnucleotide

Identifiers

PMID37017090
PMCPMC10293084
OpenAlexW4362601803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.