1,721,081 research outputs found
GATOR1 complex: the common genetic actor in focal epilepsies
No full textThe mammalian or mechanistic target of rapamycin (mTOR) signalling pathway has multiple roles in regulating physiology of the whole body and, particularly, the brain. Deregulation of mTOR signalling has been associated to various neurological conditions, including epilepsy. Mutations in genes encoding components of Gap Activity TOward Rags 1 (GATOR1) (DEPDC5, NPRL2 and NPRL3), a complex involved in the inhibition of the mTOR complex 1 (mTORC1), have been recently implicated in the pathogenesis of a wide spectrum of focal epilepsies (FEs), both lesional and non-lesional. The involvement of DEPDC5, NPRL2 and NRPL3 in about 10% of FEs is in contrast to the concept that specific seizure semiology points to the main involvement of a distinct brain area. The hypothesised pathogenic mechanism underlying epilepsy is the loss of the inhibitory function of GATOR1 towards mTORC1. The identification of the correct therapeutic strategy in patients with FE is challenging, especially in those with refractory epilepsy and/or malformations of cortical development (MCDs). In such cases, surgical excision of the epileptogenic zone is a curative option, although the long-term outcome is still undefined. The GATOR1/mTOR signalling represents a promising therapeutic target in FEs due to mutations in mTOR pathway genes, as in tuberous sclerosis complex, another MCD-associated epilepsy caused by mTOR signalling hyperactivation
unCOVERApp: an interactive graphical application for clinical assessment of sequence coverage at the base-pair level
No full textMOTIVATION: Next Generation Sequencing is increasingly adopted in the clinical practice largely thanks to concurrent advancements in bioinformatic tools for variant detection and annotation. However, the need to assess sequencing quality at the base-pair level still poses challenges for diagnostic accuracy. One of the most popular quality parameters is the percentage of targeted bases characterized by low depth of coverage (DoC). These regions potentially "hide" clinically-relevant variants, but no annotation is usually returned with them.However, visualizing low-DoC data with their potential functional and clinical consequences may be useful to prioritize inspection of specific regions before re-sequencing all coverage gaps or making assertions about completeness of the diagnostic test.To meet this need we have developed unCOVERApp, an interactive application for graphical inspection and clinical annotation of low-DoC genomic regions containing genes.RESULTS: unCOVERApp interactive plots allow to display gene sequence coverage down to the base-pair level, and functional and clinical annotations of sites below a user-defined DoC threshold can be downloaded in a user-friendly spreadsheet format. Moreover, unCOVERApp provides a simple statistical framework to evaluate if DoC is sufficient for the detection of somatic variants. A maximum credible allele frequency calculator is also available allowing users to set allele frequency cut-offs based on assumptions about the genetic architecture of the disease.In conclusion, unCOVERApp is an original tool designed to identify sites of potential clinical interest that may be "hidden" in diagnostic sequencing data.AVAILABILITY: unCOVERApp is a free application developed with Shiny packages and available in GitHub (https://github.com/Manuelaio/uncoverappLib).SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online
Long read sequencing on its way to the routine diagnostics of genetic diseases
Full text link: The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with de novo pathogenic variants. We provide a review of relevant recent scientific papers exploring LRS potential in the diagnosis of genetic diseases and its potential future applications in routine genetic testing
LGI1 microdeletions are not a frequent cause of partial epilepsy with auditory features (PEAF).
No full textHeterozygous mutations of the leucine-rich, glioma-inactivated 1 gene (LGI1) are the major known cause of partial epilepsy with auditory features (PEAF), accounting for roughly 50% of families. Recently, a partial gene microdeletion has been reported in a single family.To assess the contribution of LGI1 microrearrangements to the pathogenesis of PEAF, we screened 50 patients negative for point mutations through multiplex ligation-dependent probe amplification (MLPA) analysis.No cryptic imbalances were found in LGI1, suggesting that LGI1 microdeletions are not a frequent cause of PEAF. Despite the small number of examined patients and the need for replication studies, these findings support the hypothesis that diagnostic screening for LGI1 microrearrangements lacks clinical utility, especially for sporadic cases, and further highlight genetic heterogeneity of familial and sporadic PEAF
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
