Publications by authors named "Melanie O'Leary"

Variants in the mitochondrial genome (mtDNA) cause a diverse collection of mitochondrial diseases and have extensive phenotypic overlap with Mendelian diseases encoded on the nuclear genome. The mtDNA is not always specifically evaluated in patients with suspected Mendelian disease, resulting in overlooked diagnostic variants. Here, we analyzed a cohort of 6,660 rare disease families (5,625 genetically undiagnosed [84%]) from the Genomics Research to Elucidate the Genetics of Rare diseases (GREGoR) Consortium, as well as other rare disease cohorts.

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The ADAT2/ADAT3 (ADAT) complex catalyses the adenosine to inosine modification at the wobble position of eukaryotic tRNAs. Mutations in ADAT3, the catalytically inactive subunit of the ADAT2/ADAT3 complex, have been identified in patients presenting with severe neurodevelopmental disorders. Yet, the physiological function of the ADAT2/ADAT3 complex during brain development remains totally unknown.

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Bi-allelic variants in GLUL, encoding glutamine synthetase and responsible for the conversion of glutamate to glutamine, are associated with a severe recessive disease due to glutamine deficiency. A dominant disease mechanism was recently reported in nine females, all with a de novo single-nucleotide variant within the start codon or the 5' UTR of GLUL that truncates 17 amino acids of the protein product, including its critical N-terminal degron sequence. This truncation results in a disorder of abnormal glutamine synthetase stability and manifests as a phenotype of severe developmental and epileptic encephalopathy.

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More than 50% of families with suspected rare monogenic diseases remain unsolved after whole-genome analysis by short-read sequencing (SRS). Long-read sequencing (LRS) could help bridge this diagnostic gap by capturing variants inaccessible to SRS, facilitating long-range mapping and phasing and providing haplotype-resolved methylation profiling. To evaluate LRS's additional diagnostic yield, we sequenced a rare-disease cohort of 98 samples from 41 families, using nanopore sequencing, achieving per sample ∼36× average coverage and 32-kb read N50 from a single flow cell.

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Background: Variants in the mitochondrial genome (mtDNA) cause a diverse collection of mitochondrial diseases and have extensive phenotypic overlap with Mendelian diseases encoded on the nuclear genome. The mtDNA is often not specifically evaluated in patients with suspected Mendelian disease, resulting in overlooked diagnostic variants.

Methods: Using dedicated pipelines to address the technical challenges posed by the mtDNA - circular genome, variant heteroplasmy, and nuclear misalignment - single nucleotide variants, small indels, and large mtDNA deletions were called from exome and genome sequencing data, in addition to RNA-sequencing when available.

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Purpose: We set out to develop a publicly available tool that could accurately diagnose spinal muscular atrophy (SMA) in exome, genome, or panel sequencing data sets aligned to a GRCh37, GRCh38, or T2T reference genome.

Methods: The SMA Finder algorithm detects the most common genetic causes of SMA by evaluating reads that overlap the c.840 position of the SMN1 and SMN2 paralogs.

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encodes a human long noncoding RNA (lncRNA) adjacent to , a coding gene in which de novo loss-of-function variants cause developmental and epileptic encephalopathy. Here, we report our findings in three unrelated children with a syndromic, early-onset neurodevelopmental disorder, each of whom had a de novo deletion in the locus. The children had severe encephalopathy, shared facial dysmorphisms, cortical atrophy, and cerebral hypomyelination - a phenotype that is distinct from the phenotypes of patients with haploinsufficiency.

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Article Synopsis
  • PI4KA-related disorder is marked by a variety of neurological and gastrointestinal issues, including spasticity, developmental challenges, and recurrent infections, with specific attention given to the impact on B-cell function and immunodeficiency in some patients. * -
  • The study involved analyzing 13 patients with PI4KA variants, revealing common traits such as B-cell deficiency and hypogammaglobulinemia, alongside significant changes in B-cell subsets and functioning due to metabolic disruptions. * -
  • Findings indicate that mutations in PI4KA lead to disturbances in lipid production and metabolic pathways in B cells, fostering mitochondrial dysfunction and abnormal immune responses, suggesting a critical role of PI4KA in B-cell differentiation and health. *
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  • * Long-read sequencing (LRS) offers a promising solution by providing more comprehensive data, including better long-range mapping and methylation profiling, which can help identify variants not detectable by SRS.
  • * In a study involving 98 samples, LRS successfully identified additional rare variants in 11 cases, enhancing diagnostic accuracy for rare monogenic diseases and suggesting its future importance in clinical genomics.
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Objective: The objective of the study is to characterize the pathomechanisms underlying actininopathies. Distal myopathies are a group of rare, inherited muscular disorders characterized by progressive loss of muscle fibers that begin in the distal parts of arms and legs. Recently, variants in a new disease gene, ACTN2, have been shown to cause distal myopathy.

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  • KMT2C and KMT2D are important enzymes that modify genes, with KMT2C haploinsufficiency recently linked to Kleefstra syndrome 2, a neurodevelopmental disorder (NDD) with unknown clinical details.
  • A study involving 98 individuals found that most pathogenic variants in KMT2C span nearly all its exons, making variant interpretation difficult; the study also established a KMT2C DNA methylation signature for better classification of the disorder.
  • Key features of KMT2C-related NDD include developmental delays, intellectual disabilities, and distinct facial characteristics, setting it apart from similar conditions like Kleefstra and Kabuki syndromes, indicating the need for its renaming and
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  • * The study identifies RNU4-2, a non-coding RNA gene, as a significant contributor to syndromic NDD, revealing a specific 18-base pair region with low variation that includes variants found in 115 individuals with NDD.
  • * RNU4-2 is highly expressed in the developing brain, and its variants disrupt splicing processes, indicating that non-coding genes play a crucial role in rare disorders, potentially aiding in the diagnosis of thousands with NDD worldwide.
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  • A novel genetic cause of partial lipodystrophy has been identified, linked to a nonsense variant in the early B cell factor 2 gene (p.E165X).
  • The patient exhibited progressive loss of fat tissue and worsening metabolic health from a young age, indicating an atypical presentation of the condition.
  • Laboratory studies show that this genetic variant hinders fat cell development, resulting in an increase of undeveloped cells and inflammation in fat tissues, which disrupts normal tissue function and structure.
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  • Researchers sequenced the genomes of 822 families with suspected rare monogenic diseases that were previously undiagnosed through standard genetic tests, including exome sequencing.
  • They found that genome sequencing provided a molecular diagnosis for 29.3% of the initial families, with 8.2% requiring genome sequencing to identify variants that exome sequencing missed.
  • The study showed that both research and clinical approaches could benefit from genome sequencing, demonstrating its importance in uncovering previously undetected genetic variations.
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Background: A major obstacle faced by families with rare diseases is obtaining a genetic diagnosis. The average "diagnostic odyssey" lasts over five years and causal variants are identified in under 50%, even when capturing variants genome-wide. To aid in the interpretation and prioritization of the vast number of variants detected, computational methods are proliferating.

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Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes. Increasingly, large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here, we identify the non-coding RNA as a novel syndromic NDD gene.

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Article Synopsis
  • Long non-coding RNAs (lncRNAs) make up a significant part of the human genome, but findings show that a specific lncRNA, located near a coding gene, is linked to severe developmental disorders and epilepsy through harmful mutations.
  • Researchers found three individuals with a rare deletion affecting this lncRNA, displaying similar symptoms such as developmental delays and distinct facial features, differing from typical haploinsufficiency effects.
  • The study revealed that this deletion leads to altered mRNA and protein levels in patients, demonstrating that structural variants can cause neurodevelopmental disorders and emphasizing the importance of further evaluating lncRNAs in relation to genetic diseases.
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The ADAT2/ADAT3 complex catalyzes the adenosine to inosine modification at the wobble position of eukaryotic tRNAs. Mutations in , the catalytically inactive subunit of the ADAT2/ADAT3 complex, have been identified in patients presenting with severe neurodevelopmental disorders (NDDs). Yet, the physiological function of ADAT2/ADAT3 complex during brain development remains totally unknown.

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Biallelic pathogenic variants in MAP3K20, which encodes a mitogen-activated protein kinase, are a rare cause of split-hand foot malformation (SHFM), hearing loss, and nail abnormalities or congenital myopathy. However, heterozygous variants in this gene have not been definitively associated with a phenotype. Here, we describe the phenotypic spectrum associated with heterozygous de novo variants in the linker region between the kinase domain and leucine zipper domain of MAP3K20.

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Spinal muscular atrophy (SMA) is a genetic disorder that causes progressive degeneration of lower motor neurons and the subsequent loss of muscle function throughout the body. It is the second most common recessive disorder in individuals of European descent and is present in all populations. Accurate tools exist for diagnosing SMA from genome sequencing data.

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Background: Causal variants underlying rare disorders may remain elusive even after expansive gene panels or exome sequencing (ES). Clinicians and researchers may then turn to genome sequencing (GS), though the added value of this technique and its optimal use remain poorly defined. We therefore investigated the advantages of GS within a phenotypically diverse cohort.

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Objective: ACTN2, encoding alpha-actinin-2, is essential for cardiac and skeletal muscle sarcomeric function. ACTN2 variants are a known cause of cardiomyopathy without skeletal muscle involvement. Recently, specific dominant monoallelic variants were reported as a rare cause of core myopathy of variable clinical onset, although the pathomechanism remains to be elucidated.

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Article Synopsis
  • - Distal myopathies are rare inherited disorders that cause muscle fiber loss starting in the extremities, linked to variants in a new gene previously associated solely with heart conditions, which encodes a key muscle protein.
  • - The study aims to understand the mechanisms behind these disorders by testing various genetic variants in muscle cell models and correlating them with clinical data from affected patients.
  • - Findings indicate that certain genetic changes linked to dominant forms of the disease cause toxic protein aggregates, suggesting these variants should be considered harmful, while also highlighting the need for further research into other potential disease mechanisms.
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Background: A major obstacle faced by rare disease families is obtaining a genetic diagnosis. The average "diagnostic odyssey" lasts over five years, and causal variants are identified in under 50%. The Rare Genomes Project (RGP) is a direct-to-participant research study on the utility of genome sequencing (GS) for diagnosis and gene discovery.

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Purpose: Advances in genomic research have facilitated rare disease diagnosis for thousands of individuals. Unfortunately, the benefits of advanced genetic diagnostic technology are not distributed equitably among the population, as has been seen in many other health care contexts. Quantifying and describing inequities in genetic diagnostic yield is inherently challenging due to barriers to both clinical and research genetic testing.

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