Evidence map›Paper›PMID 39135118›Full record

ArticleGenome medicine2024

ENU-based dominant genetic screen identifies contractile and neuronal gene mutations in congenital heart disease.

Xiaoxi Luo, Lifeng Liu, Haowei Rong, Xiangyang Liu, Ling Yang, Nan Li, Hongjun Shi

Abstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

7 authors.

Xiaoxi Luo *College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Lifeng Liu *School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Haowei RongSchool of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Xiangyang LiuSchool of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Ling YangWestlake University High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China.
Nan LiWestlake University High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China.
Hongjun ShiSchool of Medicine, Westlake University, Hangzhou, Zhejiang, China. shihongjun@westlake.edu.cn.ORCID 0000-0002-4993-2322

Funding

Administrative Coordinating Center: Cardiovascular Development and Pediatric Cardiac Genomics ConsortiaU01HL131003 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CNOTA, JAMES, OLLBERDING, NICHOLAS J · 2016 to 2024
$54.8M
Genetics of Hypoplastic Left Heart SyndromeUM1HL128761 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BERNSTEIN, DANIEL, SRIVASTAVA, DEEPAK · 2015 to 2019
$2.5M
The Genomic Basis of Congenital Heart Disease and Neurodevelopmental OutcomesUM1HL098147 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI NEWBURGER, JANE W., ROBERTS, AMY E · 2015 to 2019
$2.4M
Genetics of conotruncal defects and associated neurodevelopmental outcomesUM1HL098123 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GELB, BRUCE D · 2015 to 2019
$2.3M
Genetics and genomics of congenital heart disease and associated neurodevelopmental abnormalitiesUM1HL098162 · NHLBI · YALE UNIVERSITY · PI BRUECKNER, MARTINA, GUPTA, ABHA RANI · 2015 to 2019
$2.2M
Bridging the Gap between Genomics and Clinical Outcomes in CHDUM1HL128711 · NHLBI · UNIVERSITY OF UTAH · PI TRISTANI-FIROUZI, MARTIN, YANDELL, MARK DOUGLAS · 2015 to 2019
$2.0M
NHLBI NIH HHS U01 HL131003NHLBI NIH HHS UM1 HL098123NHLBI NIH HHS UM1 HL098147NHLBI NIH HHS UM1 HL098162NHLBI NIH HHS UM1 HL128711NHLBI NIH HHS UM1 HL128761
6 · The paper itself

Abstract

backgroundCongenital heart disease (CHD) is the most prevalent congenital anomaly, but its underlying causes are still not fully understood. It is believed that multiple rare genetic mutations may contribute to the development of CHD.

methodsIn this study, we aimed to identify novel genetic risk factors for CHD using an ENU-based dominant genetic screen in mice. We analyzed fetuses with malformed hearts and compared them to control littermates by whole exome or whole genome sequencing (WES/WGS). The differences in mutation rates between observed and expected values were tested using the Poisson and Binomial distribution. Additionally, we compared WES data from human CHD probands obtained from the Pediatric Cardiac Genomics Consortium with control subjects from the 1000 Genomes Project using Fisher's exact test to evaluate the burden of rare inherited damaging mutations in patients.

resultsBy screening 10,285 fetuses, we identified 1109 cases with various heart defects, with ventricular septal defects and bicuspid aortic valves being the most common types. WES/WGS analysis of 598 cases and 532 control littermates revealed a higher number of ENU-induced damaging mutations in cases compared to controls. GO term and KEGG pathway enrichment analysis showed that pathways related to cardiac contraction and neuronal development and functions were enriched in cases. Further analysis of 1457 human CHD probands and 2675 control subjects also revealed an enrichment of genes associated with muscle and nervous system development in patients. By combining the mice and human data, we identified a list of 101 candidate digenic genesets, from which each geneset was co-mutated in at least one mouse and two human probands with CHD but not in control mouse and control human subjects.

conclusionsOur findings suggest that gene mutations affecting early hemodynamic perturbations in the developing heart may play a significant role as a genetic risk factor for CHD. Further validation of the candidate gene set identified in this study could enhance our understanding of the complex genetics underlying CHD and potentially lead to the development of new diagnostic and therapeutic approaches.

Indexed as

Heart Defects, CongenitalMutationAnimalsContractile ProteinsExome SequencingFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiceNeuronsContractile ProteinsCardiac contractionCongenital heart diseaseENUGenetic riskGenetic screen

Identifiers

PMID39135118
PMCPMC11318149

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Registered trials

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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.