Kate Sahan
DPhil
Ethics Research Fellow, Cangene Canvar
Kate Sahan is Research Fellow in the Ethical and Social Implications of the Clinical Use of Genomic Risk in Cancer Care. She studied for a DPhil in Population Health at the Ethox Centre from 2016-19. In 2019-20 Kate was a postdoctoral researcher at Erasmus Universiteit, Rotterdam where she explored the global challenges of implementing Responsible Research and Innovation policy.
Kate’s research interests include: the ethics of emergency research governance; ethics of decision-making in research more generally including how ethics policy translates to practical and cultural change for individuals and institutions; and population health ethics, most recently focusing on the challenges and opportunities genomic medicine brings to improving cancer patient care.
Before her DPhil at Ethox, Kate worked in a number of research administration and ethics governance roles, including as a clinical research coordinator, as part of the 2014 Oxford REF project management team, and as manager of the Social Sciences and Humanities Oxford Research Ethics Committee. Kate has also worked previously as a research assistant at Ethox and at the Mahidol-Oxford Tropical Medicine Research Unit (MORU) in Bangkok, Thailand on qualitative social science projects with an ethical focus.
Recent publications
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Ethical preparedness in genomic medicine: how NHS clinical scientists navigate ethical issues.
Journal article
Sahan K. et al, (2024), J Med Ethics
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'A good decision is the one that feels right for me': Codesign with patients to inform theoretical underpinning of a decision aid website.
Journal article
Kohut K. et al, (2023), Health Expect
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Reasons for Not Participating in PCTs: The Comparative Case of Emergency Research under an Exception from Informed Consent (EFIC).
Journal article
Sahan K. et al, (2023), Am J Bioeth, 23, 70 - 72
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Germline mismatch repair (MMR) gene analyses from English NHS regional molecular genomics laboratories 1996-2020: development of a national resource of patient-level genomics laboratory records.
Journal article
Loong L. et al, (2022), J Med Genet
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Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants.
Journal article
Loong L. et al, (2022), Genet Med, 24, 552 - 563