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Results for “Episignature”

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7 recordsLinked to original sources

PubMed2026

Moebius-Plus Phenotype With Positive RCEM Episignature May Indicate Broader Embryologic Malformation Spectrum Detectable by Methylation Profiling.

Moebius syndrome (OMIM #157900) is a rare congenital cranial dysinnervation disorder characterized by abducens (CN VI) and facial (CN VII) nerve palsies with variable craniofacial and limb anomalies. Despite advances in genomic testing, the majority of patients remain genetically unexplained. Episignature testing, which detects syndrome-specific DNA methylation patterns, has emerged as a complementary diagnostic tool for conditions with shared developmental mechanisms. We describe an 8-month-old male born prematurely with bilateral clubfoot, craniofacial dysmorphism, feeding difficulty requiring gastrostomy tube placement, and respiratory failure requiring tracheostomy. Neuroimaging demonstrated absence of bilateral abducens and facial nerves with pontocerebellar hypoplasia, supporting a clinical diagnosis of Moebius syndrome. Extensive genetic evaluation, including genome sequencing and targeted testing for hypotonia and hypoventilation syndromes, was nondiagnostic. Episignature analysis revealed a moderately positive methylation signature consistent with a recurrent constellation of embryonic malformation (RCEM), concordant with two of three previously validated RCEM classifier models. To our knowledge, this is the first report of a patient with a positive RCEM episignature and Moebius syndrome, suggesting a common embryologic pathway. Episignature testing may represent a valuable diagnostic tool in patients with Moebius syndrome and related craniofacial-limb malformation spectra when conventional genomic testing is unrevealing.

RCEM↗

PubMed2025

Discovery of a DNA methylation episignature as a molecular biomarker for fetal alcohol syndrome.

PURPOSE: Fetal alcohol spectrum disorder (FASD) encompasses a range of clinical features and neurodevelopmental disorders in children exposed to alcohol in utero. Despite its global public health significance, FASD diagnosis remains challenging because of nonspecific clinical findings and the lack of an accurate molecular diagnostic biomarker. This study aimed to evaluate peripheral blood DNA methylation (DNAm) profiles as a potential diagnostic biomarker for fetal alcohol syndrome. METHODS: Genomic DNAm profiles from 93 individuals with suspected or confirmed FAS, including a clinically diagnosed FAS subgroup, were analyzed and compared with a large database of control and patient cohorts with previously reported DNAm episignatures. Functional analysis of these DNAm profiles was performed to identify episignatures and assess their potential diagnostic utility. RESULTS: A relatively sensitive and specific DNAm episignature for FAS was identified. Comparative epigenomic analysis revealed functional correlations between FAS and other rare genetic disorders, supporting the robustness of the identified DNAm profiles as a diagnostic tool. CONCLUSION: This study demonstrates that unique DNAm profiles provide a robust episignature biomarker for FAS. These findings contribute to the molecular understanding of FAS and hold promise for improving diagnostic accuracy for this complex disorder.

Humans↗

PubMed2026

Structural variant discovery and diagnostic impact in rare diseases from short-read and long-read sequencing.

Rare diseases collectively affect 1 in 10 individuals, yet current genetic testing fails to identify a causal variant for most cases. At present, cytogenetic methods and/or sequencing approaches such as exome (ES) or short-read genome sequencing (srGS) represent the state-of-the-art for comprehensive clinical discovery of sequence and structural variants (SVs), including copy number variants, balanced SVs, complex SVs, and tandem repeats (TRs). Recently, long-read genome sequencing (lrGS), coupled with multiomics data, has presented great promise to resolve variation in genomic regions recalcitrant to characterization by srGS such as highly repetitive simple repeat sequences and segmental duplications. However, there are few guidelines to enable clinical interpretation of genetic variation in these highly repetitive genomic regions, and the enthusiasm of the field in adopting lrGS has made it difficult to assess the true added diagnostic yield of this technology due to widely variable and inconsistently applied analytic pipelines and variable degrees of pre-screening by ES or srGS. Here, we investigated the contribution of SVs to rare diseases using srGS as a front-line strategy when paired with highly sensitive SV discovery and evaluate the added diagnostic yield of incorporating lrGS for a subset of cases. Our srGS analysis encompassed 1,462 families (3,450 individuals) recruited through the Broad Institute Center for Mendelian Genetics and the Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) programs. Diagnostic SVs were identified in 5.4% of cases (79/1,462), of which 80% were uniquely detectable by srGS compared to standard cytogenetic techniques. For 96 families (including 10 families with a heterozygous variant observed in a known recessive gene of clinical relevance), we performed lrGS with methylation profiling, as well as long-read transcriptomic analyses in a subset of 20 trios. Analyses with lrGS yielded over 25,000 SVs per genome, 63% of which were not captured by srGS, along with an additional ~200 rare SNV/indels per genome not previously captured and 12 differentially methylated regions per genome. Among these, we identified only one diagnostic variant not interpreted by srGS, an apparently mosaic de novo SNV in CASK that was absent in the srGS callset due to allelic imbalance. No new diagnoses were supported by long-read transcriptomics or episignatures. In this well characterized rare disease cohort, the added diagnostic yield was thus 1.04% (1/96 families). Following a systematic literature review of prior lrGS studies, we find that most reported diagnoses were detectable by srGS and that our added diagnostic yield is consistent with those prior studies. These studies emphasize the significant impact of comprehensive SV discovery in rare disease cases and further demonstrate the power for increased discovery of novel genomic variation and episignatures from lrGS. Nonetheless, they also serve to temper expectations of dramatic diagnostic advances in rare disease patients until there is more extensive annotation of the functional and clinical impact of all coding and noncoding variation uniquely accessible to lrGS with extensive reference databases spanning highly repetitive genomic sequencing that could be enabled by this transformative technology.

Journal Article↗

PubMed2024

Microduplications of ARID1A and ARID1B cause a novel clinical and epigenetic distinct BAFopathy.

PURPOSE: ARID1A/ARID1B haploinsufficiency leads to Coffin-Siris syndrome, duplications of ARID1A lead to a distinct clinical syndrome, whilst ARID1B duplications have not yet been linked to a phenotype. METHODS: We collected patients with duplications encompassing ARID1A and ARID1B duplications. RESULTS: 16 ARID1A and 13 ARID1B duplication cases were included with duplication sizes ranging from 0.1 to 1.2 Mb (1-44 genes) for ARID1A and 0.9 to 10.3 Mb (2-101 genes) for ARID1B. Both groups shared features, with ARID1A patients having more severe intellectual disability, growth delay, and congenital anomalies. DNA methylation analysis showed that ARID1A patients had a specific methylation pattern in blood, which differed from controls and from patients with ARID1A or ARID1B loss-of-function variants. ARID1B patients appeared to have a distinct methylation pattern, similar to ARID1A duplication patients, but further research is needed to validate these results. Five cases with duplications including ARID1A or ARID1B initially annotated as duplications of uncertain significance were evaluated using PhenoScore and DNA methylation reanalysis, resulting in the reclassification of 2 ARID1A and 2 ARID1B duplications as pathogenic. CONCLUSION: Our findings reveal that ARID1B duplications manifest a clinical phenotype, and ARID1A duplications have a distinct episignature that overlaps with that of ARID1B duplications, providing further evidence for a distinct and emerging BAFopathy caused by whole-gene duplication rather than haploinsufficiency.

Humans↗

PubMed2026

Beyond in silico prediction: multi-omics to identify a pathogenic deep intronic HNRNPK variant in Au-Kline syndrome.

Pathogenic variants in HNRNPK are associated with autosomal dominant Au-Kline syndrome (AKS, Au-Kline-Okamoto syndrome, OMIM #616580). This syndrome is characterized by developmental delay and intellectual disability, hypotonia, and distinctive facial features. Despite the use of whole-genome sequencing (WGS) as a powerful diagnostic tool, we nearly dismissed a novel intronic variant (NM_031263.4(HNRNPK):c.214-55 T > A) affecting HNRNPK splicing and function. Although commonly used bioinformatic splice prediction tools, including SpliceAI and PDIVAS, yielded inconclusive results, Face2Gene analysis indicated a high phenotypic similarity to AKS. Characteristic facial features described by Choufani et al. [1] supported the clinical diagnosis of AKS. Subsequent functional studies demonstrated aberrant splicing with intron retention, and DNA methylation profiling revealed a positive HNRNPK-specific episignature. These insights and the de novo status support an evaluation as likely pathogenic. This case report supports the relevance of facial analysis and comprehensive variant validation strategies, particularly for deep intronic variants with ambiguous in silico splicing predictions.

Journal Article↗

PubMed2025

Systematic analysis of snRNA genes reveals frequent RNU2-2 variants in dominant and recessive developmental and epileptic encephalopathies.

Variants in spliceosomal small nuclear RNA (snRNA) genes RNU4-2 (ReNU syndrome), RNU5B-1, and RNU2-2 have recently been linked to dominant neurodevelopmental disorders (NDDs), revealing a major, previously overlooked role for noncoding snRNAs in human disease. Here, we systematically analysed 200 potentially functional snRNA genes in a French cohort comprising 26,911 individuals with rare disorders and through international collaborations. We identify de novo and biallelic variants in RNU2-2 associated with both dominant and recessive NDDs in 126 individuals from 108 unrelated families. Recessive RNU2-2 NDD is at least twice as frequent as the dominant NDD caused by n.4G>A and n.35A>G, and often arises from a de novo variant in trans with an inherited allele, reflecting the high mutability of snRNA genes. Dominant and recessive RNU2-2-NDDs share overlapping clinical features with frequent epilepsy. Blood transcriptomics and DNA methylation analyses revealed subtle, variant-specific effects on splicing and episignatures. Our findings support a gradient-of-impact model and a continuum between dominant and recessive inheritance, establishing RNU2-2 variants as a frequent cause of NDDs, nearly as prevalent as ReNU syndrome.

Journal Article↗

PubMed2026

Mendelian disorders of the epigenetic machinery: a decade of insights into the molecular basis.

The Mendelian disorders of the Epigenetic Machinery (MDEMs), or Chromatinopathies, are now understood to be a collectively common cause of childhood neurodevelopmental delays and intellectual disability. In the past decade, the chromatin and gene expression consequences of heterozygous chromatin regulator disruption have been investigated in various disease models, yielding insights into the molecular pathogenesis of MDEMs. In this review, we highlight some of these results - drawing upon studies of representative MDEMs - together with potential unifying concepts. We propose that MDEMs are characterized by distributed, often subtle chromatin and gene expression perturbations, which impact diverse cellular pathways and processes and are frequently shared between distinct disorders. In this sense, they occupy an intermediate space between classical monogenic disorders and complex traits. We propose potential explanations for the variable expressivity in MDEMs and conclude by considering how technological advances can now enable a deeper and more precise mechanistic characterization of this important Mendelian disease group.

Humans↗