Publications by authors named "David De-Una-Iglesias"

Cardiomyopathies (CMs), one of the main causes of sudden death among the young population, are a heterogeneous group of myocardial diseases, usually with a genetic cause. Next-Generation Sequencing (NGS) has expanded the genes studied for CMs; however, the yield is still around 50%. The systematic study of Copy Number Variants (CNVs) could contribute to improving our diagnostic capacity.

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Background: Despite the irruption of massive sequencing technologies in clinical routine, the genetic diagnosis of T-cell acute lymphoblastic leukemia (T-ALL) continues to be based on traditional techniques. The integration of old and new technologies with diagnostic and prognostic purposes represents a major challenge.

Methods: A High-Throughput Sequencing (HTS) approach was applied to analyze the genetic landscape of two patients diagnosed with T-ALL and one early T cell precursor acute leukemia.

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Unlabelled: The rapid clinical implementation of next generation sequencing techniques is  due to its ability to sequence a large number of genetic regions at lower costs  than conventional techniques. However, its use in the field of pharmacogenetics  is still very limited.

Objective: Design, development, implementation and validation of a clinical  pharmacogenetics next-generation sequencing panel.

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Despite new strategies, such as evaluating deep intronic variants and new genes in whole-genome-sequencing studies, the diagnostic yield of genetic testing in hypertrophic cardiomyopathy (HCM) is still around 50%. FHOD3 has emerged as a novel disease-causing gene for this phenotype, but the relevance and clinical implication of copy-number variations (CNVs) have not been determined. In this study, CNVs were evaluated using a comparative depth-of-coverage strategy by next-generation sequencing (NGS) in 5493 HCM probands and 2973 disease-controls.

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Cardiomyopathies are a heterogeneous group of primary diseases of the myocardium usually of genetic origin and with familial presentation. The identification of multiple genetic causes for these diseases has opened a new window for early diagnosis, understanding of their natural history and improvement in risk stratification and management. However, in the past years, the clinical application of genetics has been limited by the prohibiting cost and restricted yield of the available genotyping technologies.

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