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: Faiza Gaba, Samuel Oxley, Xinting Liu, Xin Yang, Dhivya Chandrasekaran, Jatinderpal Kalsi, Antonis Antoniou, Lucy Side, Saskia Sanderson, Jo Waller, Munaza Ahmed, Andrew Wallace, Yvonne Wallis, Usha Menon, Ian Jacobs, Rosa Legood, Dalya Marks, Ranjit Manchanda
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
ovarian cancer
population testing
risk stratification
health and well-being
Online Access:https://www.mdpi.com/2075-4418/12/5/1028

Internet

https://www.mdpi.com/2075-4418/12/5/1028

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