ArticleJAMA network open2023
Association of Potentially Damaging De Novo Gene Variants With Neurologic Outcomes in Congenital Heart Disease.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Causal inference between neurodevelopmental disorders and brain structure among individuals with congenital heart disease: Insights from meta-analysis and Mendelian randomization.Italian journal of pediatrics · 2026Pooled it
- Genetic Evaluation Practices for Neonates with Congenital Heart Disease in Pediatric Cardiac Intensive Care Units: Findings from a Multi-institutional Survey.Pediatric cardiology · 2026Article
- Article
- The Sooner, the Better: Neuroprotective Strategies in Fetuses With Congenital Heart Disease.Prenatal diagnosis · 2026Review
- Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease.Communications medicine · 2026Article
- Genetics and Brain Health in Adults With Congenital Heart Disease: A Consensus Statement From the ACHD/Neuro 2024 Conference.Journal of the American Heart Association · 2026Article
- Gene4Denovo2: an updated platform for human de novo mutations discovery and interpretation.Nucleic acids research · 2026Article
- Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.Medical image analysis · 2025Article
- Recessive genetic contribution to congenital heart disease in 5,424 probands.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.iScience · 2025Article
- Assessment of Neurodevelopmental Outcomes in Children With Congenital Heart Disease Using Magnetic Resonance Imaging (MRI): Focus on Brain Volume as a Predictor of Neurodevelopmental Abnormalities.Journal of multidisciplinary healthcare · 2025Article
- Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure.NeuroImage · 2024Article
- Association of genetic and sulcal traits with executive function in congenital heart disease.Annals of clinical and translational neurology · 2024Article
- Transcriptomics integrated with metabolomics reveals partial molecular mechanisms of nutritional risk and neurodevelopment in children with congenital heart disease.Frontiers in cardiovascular medicine · 2024Article
Corrections and comments
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Authors and funding
32 authors at 19 institutions in 2 countries.
Funding
Abstract
Importance: Neurodevelopmental disabilities are commonly associated with congenital heart disease (CHD), but medical and sociodemographic factors explain only one-third of the variance in outcomes. Objective: To examine whether potentially damaging de novo variants (dDNVs) in genes not previously linked to neurodevelopmental disability are associated with neurologic outcomes in CHD and, post hoc, whether some dDNVs or rare putative loss-of-function variants (pLOFs) in specific gene categories are associated with outcomes. Design, Setting, and Participants: This cross-sectional study was conducted from September 2017 to June 2020 in 8 US centers. Inclusion criteria were CHD, age 8 years or older, and available exome sequencing data. Individuals with pathogenic gene variants in known CHD- or neurodevelopment-related genes were excluded. Cases and controls were frequency-matched for CHD class, age group, and sex. Exposures: Heterozygous for (cases) or lacking (controls) dDNVs in genes not previously associated with neurodevelopmental disability. Participants were separately stratified as heterozygous or not heterozygous for dDNVs and/or pLOFs in 4 gene categories: chromatin modifying, constrained, high level of brain expression, and neurodevelopmental risk. Main Outcomes and Measures: Main outcomes were neurodevelopmental assessments of academic achievement, intelligence, fine motor skills, executive function, attention, memory, social cognition, language, adaptive functioning, and anxiety and depression, as well as 7 structural, diffusion, and functional brain magnetic resonance imaging metrics. Results: The study cohort included 221 participants in the post hoc analysis and 219 in the case-control analysis (109 cases [49.8%] and 110 controls [50.2%]). Of those 219 participants (median age, 15.0 years [IQR, 10.0-21.2 years]), 120 (54.8%) were male. Cases and controls had similar primary outcomes (reading composite, spelling, and math computation on the Wide Range Achievement Test, Fourth Edition) and secondary outcomes. dDNVs and/or pLOFs in chromatin-modifying genes were associated with lower mean (SD) verbal comprehension index scores (91.4 [20.4] vs 103.4 [17.8]; P = .01), Social Responsiveness Scale, Second Edition, scores (57.3 [17.2] vs 49.4 [11.2]; P = .03), and Wechsler Adult Intelligence Scale, Fourth Edition, working memory scores (73.8 [16.4] vs 97.2 [15.7]; P = .03), as well as higher likelihood of autism spectrum disorder (28.6% vs 5.2%; P = .01). dDNVs and/or pLOFs in constrained genes were associated with lower mean (SD) scores on the Wide Range Assessment of Memory and Learning, Second Edition (immediate story memory: 9.7 [3.7] vs 10.7 [3.0]; P = .03; immediate picture memory: 7.8 [3.1] vs 9.0 [2.9]; P = .008). Adults with dDNVs and/or pLOFs in genes with a high level of brain expression had greater Conners adult attention-deficit hyperactivity disorder rating scale scores (mean [SD], 55.5 [15.4] vs 46.6 [12.3]; P = .007). Conclusions and Relevance: The study findings suggest neurodevelopmental outcomes are not associated with dDNVs as a group but may be worse in individuals with dDNVs and/or pLOFs in some gene sets, such as chromatin-modifying genes. Future studies should confirm the importance of specific gene variants to brain function and structure.
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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.