ArticleNature communications2018
BAFopathies' DNA methylation epi-signatures demonstrate diagnostic utility and functional continuum of Coffin-Siris and Nicolaides-Baraitser syndromes.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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70 citing papers in PubMed, 121 citations in OpenAlex.
- Identification of the Genomic Etiology of Unexplained Congenital Problems in Pediatric Patients: First Reported Case With Coffin-Siris Syndrome and Sialuria From India.Clinical case reports · 2026Article
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- Genotypic and Phenotypic Profile of 50 Cases With Chromatin Remodeling Complexes-Related Neurological Disorders.CNS neuroscience & therapeutics · 2026Article
- De novo EHMT2 variants cause an autosomal dominant EHMT2-related Kleefstra syndrome via loss of G9a methyltransferase activity.Nature communications · 2026Article
- CRONDEX: a web-based platform for exploring links between chromatin-related genes and neurodevelopmental disorders.Clinical epigenetics · 2026Article
- Expanding the Coffin-Siris syndrome spectrum: genetic, dysmorphic, and endocrine findings in eight cases.European journal of pediatrics · 2026Article
- Episignature leads to diagnosis and reclassification of DYRK1A variant in a child with syndromic neurodevelopmental disorder: a case report.Frontiers in genetics · 2026Article
- Analysis Methods for Diagnosing Rare Neurodevelopmental Diseases with Episignatures: A Systematic Review of the Literature.Biomedicines · 2025Review
- DNA methylation data from Japanese patients with Rubinstein-Taybi syndrome.Human genome variation · 2025Article
- Pathogenic variants in SMARCA1 cause an X-linked neurodevelopmental disorder modulated by NURF complex composition.Nature communications · 2025Article
- Investigation of methylation profiles in Silver-Russell syndrome to explore episignatures.Clinical epigenetics · 2025Article
- FamilialGenes · 2025Article
- DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.Clinical epigenetics · 2025Review
- Predicted loss-of-function variants before Met584 in ARID1B in population cohorts likely reflect reduced penetrance and should be reported diagnostically.Genome medicine · 2025Article
- Loss of function of the zinc finger homeobox 4 gene, ZFHX4, underlies a neurodevelopmental disorder.American journal of human genetics · 2025Article
- An explainable dataset linking facial phenotypes and genes to rare genetic diseases.Scientific data · 2025Article
- Advancing long-read nanopore genome assembly and accurate variant calling for rare disease detection.American journal of human genetics · 2025Article
- Integration of multi-omics layers empowers precision diagnosis through unveiling pathogenic mechanisms on maple syrup urine disease.Journal of inherited metabolic disease · 2025Article
- Diagnostic utility of DNA methylation analysis in genetically unsolved pediatric epilepsies and CHD2 episignature refinement.Nature communications · 2024Article
- The missing link: ARID1B non-truncating variants causing Coffin-Siris syndrome due to protein aggregation.Human genetics · 2024Article
10 more citing papers are in PubMed but not listed here.
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Authors and funding
27 authors at 12 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coffin-Siris and Nicolaides-Baraitser syndromes (CSS and NCBRS) are Mendelian disorders caused by mutations in subunits of the BAF chromatin remodeling complex. We report overlapping peripheral blood DNA methylation epi-signatures in individuals with various subtypes of CSS (ARID1B, SMARCB1, and SMARCA4) and NCBRS (SMARCA2). We demonstrate that the degree of similarity in the epi-signatures of some CSS subtypes and NCBRS can be greater than that within CSS, indicating a link in the functional basis of the two syndromes. We show that chromosome 6q25 microdeletion syndrome, harboring ARID1B deletions, exhibits a similar CSS/NCBRS methylation profile. Specificity of this epi-signature was confirmed across a wide range of neurodevelopmental conditions including other chromatin remodeling and epigenetic machinery disorders. We demonstrate that a machine-learning model trained on this DNA methylation profile can resolve ambiguous clinical cases, reclassify those with variants of unknown significance, and identify previously undiagnosed subjects through targeted population screening.
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