Evidence map›Paper›PMID 35132965›Full record

ArticleJCI insight2022

Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease.

Mengyao Yu, Catherine Tcheandjieu, Adrien Georges, Ke Xiao, Helio Tejeda, Christian Dina, Thierry Le Tourneau, Madalina Fiterau, Renae Judy, Noah L Tsao and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

16 authors at 7 institutions in 2 countries.

Mengyao YuDepartment of Pediatrics and.
Catherine TcheandjieuDepartment of Pediatrics and.
Adrien GeorgesParis Cardiovascular Research Center, INSERM, University of Paris, Paris, France.
Ke XiaoCollege of Information & Computer Sciences at University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Helio TejedaDepartment of Pediatrics and.
Christian DinaUniversity of Nantes, INSERM, CNRS, CHU Nantes, The Thorax Institute, Nantes, France.
Thierry Le TourneauUniversity of Nantes, INSERM, CNRS, CHU Nantes, The Thorax Institute, Nantes, France.
Madalina FiterauCollege of Information & Computer Sciences at University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Renae JudyDepartment of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Noah L TsaoDepartment of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Dulguun AmgalanDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Chad J MungerDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Jesse M EngreitzDepartment of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Scott M DamrauerDepartment of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nabila Bouatia-NajiParis Cardiovascular Research Center, INSERM, University of Paris, Paris, France.
James R PriestDepartment of Pediatrics and.
Lucile Packard Children's Hospital · USUniversity of Pennsylvania · USAmherst College · USCentre National de la Recherche Scientifique · FRInserm · FRChan Zuckerberg Initiative (United States) · USStanford University · US

Funding

Genetic Mechanisms of Congenital Heart DiseaseR00HL130523 · NHLBI · STANFORD UNIVERSITY · PI PRIEST, JAMES R. · 2017 to 2019
$747k
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
CSRD VA IK2 CX001780Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS R00 HL130523
6 · The paper itself

Abstract

The fibrous annulus of the mitral valve plays an important role in valvular function and cardiac physiology, while normal variation in the size of cardiovascular anatomy may share a genetic link with common and rare disease. We derived automated estimates of mitral valve annular diameter in the 4-chamber view from 32,220 MRI images from the UK Biobank at ventricular systole and diastole as the basis for GWAS. Mitral annular dimensions corresponded to previously described anatomical norms, and GWAS inclusive of 4 population strata identified 10 loci, including possibly novel loci (GOSR2, ERBB4, MCTP2, MCPH1) and genes related to cardiac contractility (BAG3, TTN, RBFOX1). ATAC-Seq of primary mitral valve tissue localized multiple variants to regions of open chromatin in biologically relevant cell types and rs17608766 to an algorithmically predicted enhancer element in GOSR2. We observed strong genetic correlation with measures of contractility and mitral valve disease and clinical correlations with heart failure, cerebrovascular disease, and ventricular arrhythmias. Polygenic scoring of mitral valve annular diameter in systole was predictive of risk mitral valve prolapse across 4 cohorts. In summary, genetic and clinical studies of mitral valve annular diameter revealed genetic determinants of mitral valve biology, while highlighting clinical associations. Polygenic determinants of mitral valve annular diameter may represent an independent risk factor for mitral prolapse. Overall, computationally estimated phenotypes derived at scale from medical imaging represent an important substrate for genetic discovery and clinical risk prediction.

Indexed as

MutationDNADNA Mutational AnalysisEchocardiographyFemaleHeart Valve DiseasesHumansMaleMiddle AgedMitral ValveMyocardial ContractionQb-SNARE ProteinsDNAGOSR2 protein, humanQb-SNARE ProteinsCardiologyCardiovascular diseaseDiagnostic imagingGeneticsPopulation genetics

Identifiers

PMID35132965
PMCPMC8855800
OpenAlexW4210656377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.