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

Autor:	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
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	ovarian cancer population testing risk stratification health and well-being Medicine (General) R5-920
Zdroj:	Diagnostics, Vol 12, Iss 5, p 1028 (2022)
Druh dokumentu:	article
ISSN:	2075-4418
DOI:	10.3390/diagnostics12051028
Popis:	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 underwent unselected population genetic testing (PGT) for personalised OC risk prediction and who received low-risk (
Databáze:	Directory of Open Access Journals
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