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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Detalles Bibliográficos
Autores principales: Gaba, Faiza, Oxley, Samuel, Liu, Xinting, Yang, Xin, Chandrasekaran, Dhivya, Kalsi, Jatinderpal, Antoniou, Antonis, Side, Lucy, Sanderson, Saskia, Waller, Jo, Ahmed, Munaza, Wallace, Andrew, Wallis, Yvonne, Menon, Usha, Jacobs, Ian, Legood, Rosa, Marks, Dalya, Manchanda, Ranjit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139231/
https://www.ncbi.nlm.nih.gov/pubmed/35626184
http://dx.doi.org/10.3390/diagnostics12051028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139231/
https://www.ncbi.nlm.nih.gov/pubmed/35626184
http://dx.doi.org/10.3390/diagnostics12051028

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