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date: 2025-12-09
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pdf_file_name:
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links: # one or more formatted Markdown or HTML links - single quoted ...
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- '[2024 slides "Genomic Privacy"](https://raw.githubusercontent.com/compbiozurich/UZH-BIO390/main/course-material/2024-12-10___Michael-Baudis__Genomic-data-and-Privacy__UZH-BIO390-HS24-lecture-13.pdf)'
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- '[2025 slides "Genomic Privacy"](https://raw.githubusercontent.com/compbiozurich/UZH-BIO390/main/course-material/2025-12-09___Michael-Baudis__Genomic-data-and-Privacy__UZH-BIO390-HS25-lecture-13.pdf)'
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- '[2022 lecture recording](https://uzh.mediaspace.cast.switch.ch/media/Introduction+to+Bioinformatics/0_nbvsl9bm)'
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- '[BaudisGroup @ UZH](https://baudisgroup.org)'
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- '<a href="https://lms.uzh.ch/auth/RepositoryEntry/17583866272/CourseNode/108724835558926" target="_blank">[OLAT page]</a> with literature links'
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#### Michael Baudis
2016

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The understanding of the impact of inherited and somatic genome variants on phenotypes and diseases requires a thorough understanding of such variants amongst populations in general and carriers of the phenotypes and diseases in particular. Such information can only be provided through the inclusion of data from a multitude of genome resources in variant evaluation efforts, including such from outside (international) jurisdictions. However, opening such resources carries the inherent risk of breaching privacy, particularly through re-identification of individuals or their relatives and potentially through the exposure of individual genome-related personal information including phenotypic and "performance" prediction and relative disease risk.
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### Topics and Literature
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An extended literature collection for the topic is available through the **OLAT page linked below**.
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An extended literature collection for the topic is available through the **OLAT page**.

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