Evidence map›Paper›PMID 38666070›Full record

ArticleNature cardiovascular research2023

Exploring the complex spectrum of dominance and recessiveness in genetic cardiomyopathies.

Alex Lipov, Sean J Jurgens, Francesco Mazzarotto, Mona Allouba, James P Pirruccello, Yasmine Aguib, Massimo Gennarelli, Magdi H Yacoub, Patrick T Ellinor, Connie R Bezzina and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature cardiovascular research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  18. High prevalence ofFrontiers in cardiovascular medicine · 2024
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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

11 authors at 7 institutions in 5 countries.

Alex Lipov *Department of Experimental Cardiology, Heart Centre, Amsterdam UMC, Amsterdam, the Netherlands.
Sean J Jurgens *Department of Experimental Cardiology, Heart Centre, Amsterdam UMC, Amsterdam, the Netherlands.ORCID 0000-0002-1605-9782
Francesco Mazzarotto *Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.ORCID 0000-0002-6159-9980
Mona AlloubaNational Heart and Lung Institute, Imperial College London, London, UK.
James P PirruccelloCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA USA.ORCID 0000-0001-6088-4037
Yasmine AguibNational Heart and Lung Institute, Imperial College London, London, UK.
Massimo GennarelliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Magdi H YacoubNational Heart and Lung Institute, Imperial College London, London, UK.
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA USA.ORCID 0000-0002-2067-0533
Connie R BezzinaDepartment of Experimental Cardiology, Heart Centre, Amsterdam UMC, Amsterdam, the Netherlands.ORCID 0000-0002-0633-3514
Roddy WalshDepartment of Experimental Cardiology, Heart Centre, Amsterdam UMC, Amsterdam, the Netherlands.ORCID 0000-0001-5092-8825
Broad Institute · USAmsterdam University Medical Centers · NLMagdi Yacoub Heart Foundation · EGCentro San Giovanni di Dio Fatebenefratelli · ITERN GUARD-Heart · NLHarefield Hospital · GBImperial College London · GB

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
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
Deep learning to enable the genetic analysis of aortaK08HL159346 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PIRRUCCELLO, JAMES · 2021 to 2025
$827k
NHLBI NIH HHS K08 HL159346NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL157635
6 · The paper itself

Abstract

Discrete categorization of Mendelian disease genes into dominant and recessive models often oversimplifies their underlying genetic architecture. Cardiomyopathies (CMs) are genetic diseases with complex etiologies for which an increasing number of recessive associations have recently been proposed. Here, we comprehensively analyze all published evidence pertaining to biallelic variation associated with CM phenotypes to identify high-confidence recessive genes and explore the spectrum of monoallelic and biallelic variant effects in established recessive and dominant disease genes. We classify 18 genes with robust recessive association with CMs, largely characterized by dilated phenotypes, early disease onset and severe outcomes. Several of these genes have monoallelic association with disease outcomes and cardiac traits in the UK Biobank, including

Indexed as

Cardiovascular geneticsGenetics researchMedical geneticsMedical genomics

Identifiers

PMID38666070
PMCPMC11041721
OpenAlexW4387451895

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.