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  1.  47
    Dynamic Consent: a potential solution to some of the challenges of modern biomedical research.Isabelle Budin-Ljøsne, Harriet J. A. Teare, Jane Kaye, Stephan Beck, Heidi Beate Bentzen, Luciana Caenazzo, Clive Collett, Flavio D’Abramo, Heike Felzmann, Teresa Finlay, Muhammad Kassim Javaid, Erica Jones, Višnja Katić, Amy Simpson & Deborah Mascalzoni - 2017 - BMC Medical Ethics 18 (1):4.
    BackgroundInnovations in technology have contributed to rapid changes in the way that modern biomedical research is carried out. Researchers are increasingly required to endorse adaptive and flexible approaches to accommodate these innovations and comply with ethical, legal and regulatory requirements. This paper explores how Dynamic Consent may provide solutions to address challenges encountered when researchers invite individuals to participate in research and follow them up over time in a continuously changing environment.MethodsAn interdisciplinary workshop jointly organised by the University of Oxford (...)
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  2.  48
    Epigenetic and Transcriptional Variability Shape Phenotypic Plasticity.Simone Ecker, Vera Pancaldi, Alfonso Valencia, Stephan Beck & Dirk S. Paul - 2018 - Bioessays 40 (2):1700148.
    Epigenetic and transcriptional variability contribute to the vast diversity of cellular and organismal phenotypes and are key in human health and disease. In this review, we describe different types, sources, and determinants of epigenetic and transcriptional variability, enabling cells and organisms to adapt and evolve to a changing environment. We highlight the latest research and hypotheses on how chromatin structure and the epigenome influence gene expression variability. Further, we provide an overview of challenges in the analysis of biological variability. An (...)
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    Functional interpretation of non‐coding sequence variation: Concepts and challenges.Dirk S. Paul, Nicole Soranzo & Stephan Beck - 2014 - Bioessays 36 (2):191-199.
    Understanding the functional mechanisms underlying genetic signals associated with complex traits and common diseases, such as cancer, diabetes and Alzheimer's disease, is a formidable challenge. Many genetic signals discovered through genome‐wide association studies map to non‐protein coding sequences, where their molecular consequences are difficult to evaluate. This article summarizes concepts for the systematic interpretation of non‐coding genetic signals using genome annotation data sets in different cellular systems. We outline strategies for the global analysis of multiple association intervals and the in‐depth (...)
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