Publications by authors named "Marc Duby"

Article Synopsis
  • Knowledge graphs are increasingly used for representing knowledge, but their complexity and the diversity of sources make integration difficult due to semantic incompatibilities.
  • The Biomedical Translator Consortium has created a question-answering system called the Translator, which aids human reasoning by addressing biomedical queries related to various diseases.
  • A monthly "Question-of-the-Month Challenge" has been established to explore specific issues like drug-related liver injury and coronavirus, providing insights and identifying technical challenges to enhance the Translator system, while also comparing it to Large Language Models like ChatGPT.
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Associations between human genetic variation and clinical phenotypes have become a foundation of biomedical research. Most repositories of these data seek to be disease-agnostic and therefore lack disease-focused views. The Type 2 Diabetes Knowledge Portal (T2DKP) is a public resource of genetic datasets and genomic annotations dedicated to type 2 diabetes (T2D) and related traits.

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Clinical, biomedical, and translational science has reached an inflection point in the breadth and diversity of available data and the potential impact of such data to improve human health and well-being. However, the data are often siloed, disorganized, and not broadly accessible due to discipline-specific differences in terminology and representation. To address these challenges, the Biomedical Data Translator Consortium has developed and tested a pilot knowledge graph-based "Translator" system capable of integrating existing biomedical data sets and "translating" those data into insights intended to augment human reasoning and accelerate translational science.

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Unlike most tumor suppressor genes, the most common genetic alterations in tumor protein p53 (TP53) are missense mutations. Mutant p53 protein is often abundantly expressed in cancers and specific allelic variants exhibit dominant-negative or gain-of-function activities in experimental models. To gain a systematic view of p53 function, we interrogated loss-of-function screens conducted in hundreds of human cancer cell lines and performed TP53 saturation mutagenesis screens in an isogenic pair of TP53 wild-type and null cell lines.

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Clinical exome sequencing routinely identifies missense variants in disease-related genes, but functional characterization is rarely undertaken, leading to diagnostic uncertainty. For example, mutations in PPARG cause Mendelian lipodystrophy and increase risk of type 2 diabetes (T2D). Although approximately 1 in 500 people harbor missense variants in PPARG, most are of unknown consequence.

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