Evidence map›Paper›PMID 42396340›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Utility of genetic screening for the prediction of severe arrhythmic outcomes in mitral valve prolapse.

Rohit Jhawar, Luca Cristin, Aeron M Small, Dwight Bibby, Lionel Tastet, Amy Rich, Francesca N Delling

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rohit JhawarDepartment of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.
Luca CristinDepartment of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.
Aeron M SmallDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Dwight BibbyDepartment of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.
Lionel TastetDepartment of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.
Amy RichDepartment of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.
Francesca N DellingDepartment of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA.

Funding

Prospective sudden cardiac death risk stratification using CMR and echocardiography machine learning in mitral valve prolapseR01HL153447 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DELLING, FRANCESCA N · 2020 to 2024
$4.7M
NHLBI NIH HHS R01 HL153447
6 · The paper itself

Abstract

Background: Cardiomyopathy and channelopathy (CC) gene variants have been linked to sudden cardiac arrest (SCA) or death (SCD) in small, selected pedigree or post-mortem studies of arrhythmic mitral valve prolapse (MVP). However, the utility of clinical whole exome sequencing (WES) panels as a risk stratification tool in unselected MVP samples is unknown. Objectives: The goal of the study was to test the utility of clinical WES panels with CC variant screening for arrhythmic risk stratification in MVP. Methods: We performed research-based WES in 203 consecutive MVPs without other arrhythmic substrate. Variants were filtered for rare (<0.1%) and protein altering variants in 157 CC genes within an existing clinical panel and annotated with a clinical significance predictor. Overall frequency of CC variants was compared to a sample of general population exomes from gnomad v4.1.0. We assessed a composite severe arrhythmic outcome of SCD or frequent ectopy/ventricular tachycardia or ventricular fibrillation/SCA requiring catheter ablation or defibrillator implantation, respectively. Results: CC variants were more common in MVPs compared to the general population (RR: 4.3, p < 0.01). Pathogenic/Likely Pathogenic (P/LP) variants were identified in 18 MVPs (9%; 8 CC variants among 12 genes). P/LP variants were independently associated with the composite arrhythmic outcome after adjustment for traditional imaging parameters of risk including mitral annular disjunction and bileaflet involvement (OR: 1.23 [95% Cl: 1.03 - 1.47], p = 0.01). P/LP variant carriers were at greater arrhythmic risk in time-to-event analyses starting at birth (HR: 2.87 [95% Cl: 1.24 - 6.62], p = 0.01). Conclusions: A subset of MVPs with P/LP variants in CC genes are at higher arrhythmic risk. A clinical WES panel inclusive of CC variants may represent a valuable arrhythmic risk stratification tool in MVP beyond traditional imaging parameters.

Indexed as

arrhythmiasgeneticsValvular heart disease

Identifiers

PMID42396340
PMCPMC13321192

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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.