Publications by authors named "Arthur L Beaudet"

Objective: To clinically assess a cell-based noninvasive prenatal genetic test using sequence-based copy number analysis of single trophoblasts from maternal blood.

Methods: Blood was obtained from 401 (243 + 158) individuals (8-22 weeks) and shipped overnight. Red cells were lysed, and nucleated cells stained for cytokeratin (CK) and CD45 and enriched for positive CK staining.

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encodes ubiquitin protein ligase E3A, and in neurons its expression from the paternal allele is repressed by the antisense transcript (). This leaves neurons susceptible to loss-of-function of maternal . Indeed, Angelman syndrome, a severe neurodevelopmental disorder, is caused by maternal deficiency.

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Article Synopsis
  • - The study investigates the genetic factors underlying congenital heart disease by screening nearly 3,900 mouse gene mutations for cardiac issues, finding 705 lines with conditions like arrhythmia and myocardial hypertrophy.
  • - Out of these, 486 genes are newly linked to heart dysfunction, including variants of unknown relevance (VUR), with specific mutations in five genes (Casz1, Dnajc18, Pde4dip, Rnf38, Tmem161b) leading to notable structural heart defects.
  • - Using data from the UK Biobank, the research further confirms the role of the DNAJC18 gene in heart function, highlighting its loss as linked to changes in cardiac performance, thus identifying new potential targets for understanding
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The International Mouse Phenotyping Consortium reports the generation of new mouse mutant strains for over 5,000 genes, including 2,850 novel null, 2,987 novel conditional- ready, and 4,433 novel reporter alleles.

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Purpose: Improved resolution of molecular diagnostic technologies enabled detection of smaller sized exonic level copy-number variants (CNVs). The contribution of CNVs to autosomal recessive (AR) conditions may be better recognized using a large clinical cohort.

Methods: We retrospectively investigated the CNVs' contribution to AR conditions in cases subjected to chromosomal microarray analysis (CMA, N = ~70,000) and/or clinical exome sequencing (ES, N = ~12,000) at Baylor Genetics; most had pediatric onset neurodevelopmental disorders.

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Objective: To examine the effects of maternal body mass index (BMI) and gestational age (GA) on the number of single circulating trophoblasts (SCT).

Methods: Maternal blood was collected in 20 to 40 mL. All singleton pregnant women at any gestation were recruited.

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The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties.

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It has long been appreciated that genetic analysis of fetal or trophoblast cells in maternal blood could revolutionize prenatal diagnosis. We implemented a protocol for single circulating trophoblast (SCT) testing using positive selection by magnetic-activated cell sorting and single-cell low-coverage whole-genome sequencing to detect fetal aneuploidies and copy-number variants (CNVs) at ∼1 Mb resolution. In 95 validation cases, we identified on average 0.

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Visceral myopathy with abnormal intestinal and bladder peristalsis includes a clinical spectrum with megacystis-microcolon intestinal hypoperistalsis syndrome and chronic intestinal pseudo-obstruction. The vast majority of cases are caused by dominant variants in ACTG2; however, the overall genetic architecture of visceral myopathy has not been well-characterized. We ascertained 53 families, with visceral myopathy based on megacystis, functional bladder/gastrointestinal obstruction, or microcolon.

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Background: Exome sequencing (ES) has been successfully applied in clinical detection of single nucleotide variants (SNVs) and small indels. However, identification of copy number variants (CNVs) using ES data remains challenging. The purpose of this study is to understand the contribution of CNVs and copy neutral runs of homozygosity (ROH) in molecular diagnosis of patients referred for ES.

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Conventional genetic testing of individuals with neurodevelopmental presentations and congenital anomalies (ND/CAs), i.e., the analysis of sequence and copy number variants, leaves a substantial proportion of them unexplained.

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Article Synopsis
  • The text refers to a correction made to a previously published article with the DOI: 10.1038/s42003-018-0226-0.
  • The correction is likely important for ensuring the accuracy and integrity of the research findings presented in the original article.
  • Readers are encouraged to check the corrected version for updated information that may affect the conclusions or interpretations of the study.
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SPONASTRIME dysplasia is an autosomal-recessive spondyloepimetaphyseal dysplasia characterized by spine (spondylar) abnormalities, midface hypoplasia with a depressed nasal bridge, metaphyseal striations, and disproportionate short stature. Scoliosis, coxa vara, childhood cataracts, short dental roots, and hypogammaglobulinemia have also been reported in this disorder. Although an autosomal-recessive inheritance pattern has been hypothesized, pathogenic variants in a specific gene have not been discovered in individuals with SPONASTRIME dysplasia.

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Article Synopsis
  • Advances in next generation sequencing have made it easier to study genetics, but understanding genetic causes of eye diseases is still tough due to cost and limited access to human genetic data.
  • The International Mouse Phenotyping Consortium conducted a study evaluating 4,364 genes and found that 347 of them affect eye traits, with 75% being previously unknown in eye disease research.
  • This significant increase in known genes related to eye conditions could have future implications for understanding eye development and diseases in humans.
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In view of conflicting reports on the pathogenicity of 15q11.2 CNVs of the breakpoints 1-2 (BP1-BP2) region and lack of association with a specific phenotype, we collected phenotypic data on 51,462 patients referred for genetic testing at two centers (Magee-Womens Hospital of UPMC and Baylor Genetics Laboratories, Baylor College of Medicine). Using array CGH, 262 patients with deletions and 215 with duplications were identified and tested for their association with four phenotypes (developmental delay, dysmorphic features, autism group of disorders, and epilepsy/seizures).

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Retinal function relies on precisely organized neurons and synapses and a properly patterned vasculature to support them. Alterations in these features can result in vision loss. However, our understanding of retinal organization pathways remains incomplete because of a lack of methods to rapidly identify neuron and vasculature regulators in mammals.

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Background: The International Mouse Phenotyping Consortium is generating null allele mice for every protein-coding gene in the genome and characterizing these mice to identify gene-phenotype associations. While CRISPR/Cas9-mediated null allele production in mice is highly efficient, generation of conditional alleles has proven to be more difficult. To test the feasibility of using CRISPR/Cas9 gene editing to generate conditional knockout mice for this large-scale resource, we employed Cas9-initiated homology-driven repair (HDR) with short and long single stranded oligodeoxynucleotides (ssODNs and lssDNAs).

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Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes.

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