Publications by authors named "Anna V Anagnostopoulos"

Phenotypic data are critical for understanding biological mechanisms and consequences of genomic variation, and are pivotal for clinical use cases such as disease diagnostics and treatment development. For over a century, vast quantities of phenotype data have been collected in many different contexts covering a variety of organisms. The emerging field of phenomics focuses on integrating and interpreting these data to inform biological hypotheses.

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Article Synopsis
  • Ontologies are key for managing consensus knowledge in areas like biomedical, environmental, and food sciences, but creating and maintaining them requires significant resources and collaboration among experts.
  • The Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI) leverages Large Language Models and Retrieval Augmented Generation to automate the generation of ontology components, showing high precision in relationship creation and ability to produce acceptable definitions.
  • While DRAGON-AI can significantly support ontology development, expert curators remain essential for overseeing the quality and accuracy of the generated content.
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Article Synopsis
  • Phenotypic data helps us understand how genomic variations affect living organisms and is vital for clinical applications like diagnosing diseases and developing treatments.
  • The field of phenomics aims to unify and analyze the vast amounts of phenotypic data collected over time, but faces challenges due to inconsistent methods and vocabularies used to record this information.
  • The Unified Phenotype Ontology (uPheno) framework offers a solution by providing a standardized system for organizing phenotype terms, allowing for better integration of data across different species and improving research on genotype-phenotype associations.
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The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English.

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Genetically engineered strains of mice, modified by gene targeting (knockouts), are increasingly being employed as alternative effective research tools in elucidating the genetic basis of human deafness. An impressive array of auditory and vestibular mouse knockouts is already available as a valuable resource for studying the ontogenesis, morphogenesis and function of the mammalian inner ear. This article provides a current catalog of mouse knockouts with inner ear morphogenetic malformations and hearing or balance deficits resulting from ablation of genes that are regionally expressed in the inner ear and/or within surrounding tissues, such as the hindbrain, neural crest and mesenchyme.

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An increasing number of genetically engineered animals are produced worldwide for use in both basic and applied research. Here, I provide an update of some of the latest mouse knockouts in The Jackson Laboratory Transgenic/Targeted Mutation Database (TBASE), concentrating on those associated with male infertility and neuropathology.

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