Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews

Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews

Unselected population-based personalised ovarian cancer (OC) risk assessments combining genetic, epidemiological and hormonal data have not previously been undertaken. We aimed to understand the attitudes, experiences and impact on the emotional well-being of women from the general population who un...

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Bibliographic Details
Main Authors: Ahmed, M. (Author), Antoniou, A. (Author), Chandrasekaran, D. (Author), Gaba, F. (Author), Jacobs, I. (Author), Kalsi, J. (Author), Legood, R. (Author), Liu, X. (Author), Manchanda, R. (Author), Marks, D. (Author), Menon, U. (Author), Oxley, S. (Author), Sanderson, S. (Author), Side, L. (Author), Wallace, A. (Author), Waller, J. (Author), Wallis, Y. (Author), Yang, X. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
health and well-being
ovarian cancer
population testing
risk stratification
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