2 research outputs found

    Rapid diagnosis and identification by PCR of Yersinia ruckeri isolated of Oncorhynchus mykiss from Canta, Lima, Peru

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    Se muestrearon 20 ejemplares (alevines y juveniles) de trucha arco iris cultivados en la piscifactoría Acochinchán (Canta, Lima, Perú), y se les aplico la técnica de la Reacción en Cadena de la Polimerasa (PCR) con la finalidad de obtener una identificación rápida del agente patógeno Yersinia ruckeri que produce la enfermedad entérica de la boca roja (ERM) y genera elevadas tasas de mortalidad. Nueve ejemplares fueron asintomáticos mientras que 11 presentaron signos de ERM. Se aislaron 22 cepas bacterianas del hígado, bazo y riñón. Se empleó la técnica de la PCR para la amplificación y cebadores específicos (ARNr 16S), que permitieron amplificar un fragmento de ADN de 575 pb de Yersinia ruckeri. Diecinueve cepas fueron identificadas como Yersinia ruckeri mediante la PCR, tanto en peces sintomáticos como asintomáticos. Se estableció un tiempo de diagnóstico de 26 horas, en comparación con los 2 ó 3 días que duraría el diagnóstico empleando las pruebas bioquímicas.Twenty individuals of rainbow trout were sampled (fry and juveniles) from Acochinchan Fishfarm (Canta, Lima - Peru), and analyzed with the Polimerase Chain Reaction test (PCR ) in order to achieve a rapid identification of Yersinia ruckeri, which is the pathogen agent that causes the enteric red mouth disease (ERM) and produces high rates of mortality. Nine fish samples were asymptomatic, while 11 of them showed signs of ERM. In addition, 22 bacterial strains were isolated from the liver, spleen and kidney. PCR and specific primers (16S rRNA), were used to amplified a specific 575 bp DNA fragment of Yersinia ruckeri. Nineteen strains were identified as Yersinia ruckeri by PCR in symptomatic and asymptomatic fishes. It was established a diagnosis time of 26 hours, compared with the 2 or 3 days that would take the diagnosis using biochemical tests

    A Solve-RD ClinVar-based reanalysis of 1522 index cases from ERN-ITHACA reveals common pitfalls and misinterpretations in exome sequencing

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    Purpose Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the “ClinVar low-hanging fruit” reanalysis, reasons for the failure of previous analyses, and lessons learned. Methods Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted. Results We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency). Conclusion The “ClinVar low-hanging fruit” analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock
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