Population Study of Ovarian Cancer Risk Prediction for Targeted Screening and Prevention
| dc.contributor.author | Gaba, Faiza | |
| dc.contributor.author | Blyuss, Oleg | |
| dc.contributor.author | Liu, Xinting | |
| dc.contributor.author | Goyal, Shivam | |
| dc.contributor.author | Lahoti, Nishant | |
| dc.contributor.author | Chandrasekaran, Dhivya | |
| dc.contributor.author | Kurzer, Margarida | |
| dc.contributor.author | Kalsi, Jatinderpal | |
| dc.contributor.author | Sanderson, Saskia | |
| dc.contributor.author | Lanceley, Anne | |
| dc.contributor.author | Ahmed, Munaza | |
| dc.contributor.author | Side, Lucy | |
| dc.contributor.author | Gentry-Maharaj, Aleksandra | |
| dc.contributor.author | Wallis, Yvonne | |
| dc.contributor.author | Wallace, Andrew | |
| dc.contributor.author | Waller, Jo | |
| dc.contributor.author | Luccarini, Craig | |
| dc.contributor.author | Yang, Xin | |
| dc.contributor.author | Dennis, Joe | |
| dc.contributor.author | Dunning, Alison | |
| dc.contributor.author | Lee, Andrew | |
| dc.contributor.author | Antoniou, Antonis C. | |
| dc.contributor.author | Legood, Rosa | |
| dc.contributor.author | Menon, Usha | |
| dc.contributor.author | Jacobs, Ian | |
| dc.contributor.author | Manchanda, Ranjit | |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.date.accessioned | 2022-04-12T11:16:01Z | |
| dc.date.available | 2022-04-12T11:16:01Z | |
| dc.date.issued | 2020-05-15 | |
| dc.description | Funding: This study was funded by Cancer Research UK and The Eve-Appeal Charity (C16420/A18066). U.M. received support from the National Institute for Health Research University College London Hospitals Biomedical Research Centre. A.A. is supported by Cancer Research UK (grant number C12292/A20861). The funding bodies had no role in the study design, data collection, analysis, interpretation or writing of the report or decision to submit for publication. The research team was independent of funders. Acknowledgments: This study is supported by researchers at the Cancer Research UK Barts Centre, Queen Mary University of London (C16420/A18066). We are particularly grateful to the women who participated in this study. We are grateful to the entire medical, nursing, and administrative staff who work on the PROMISE Feasibility Study. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 21 | |
| dc.format.extent | 605074 | |
| dc.identifier | 198563790 | |
| dc.identifier | 57126c24-3720-47f8-bf19-3404360f2219 | |
| dc.identifier | 85085106601 | |
| dc.identifier.citation | Gaba, F, Blyuss, O, Liu, X, Goyal, S, Lahoti, N, Chandrasekaran, D, Kurzer, M, Kalsi, J, Sanderson, S, Lanceley, A, Ahmed, M, Side, L, Gentry-Maharaj, A, Wallis, Y, Wallace, A, Waller, J, Luccarini, C, Yang, X, Dennis, J, Dunning, A, Lee, A, Antoniou, A C, Legood, R, Menon, U, Jacobs, I & Manchanda, R 2020, 'Population Study of Ovarian Cancer Risk Prediction for Targeted Screening and Prevention', Cancers, vol. 12, no. 5, 1241. https://doi.org/10.3390/cancers12051241 | en |
| dc.identifier.doi | 10.3390/cancers12051241 | |
| dc.identifier.iss | 5 | en |
| dc.identifier.issn | 2072-6694 | |
| dc.identifier.other | ORCID: /0000-0003-4081-6883/work/74261456 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18393 | |
| dc.identifier.url | https://www.mdpi.com/2072-6694/12/5/1241 | en |
| dc.identifier.vol | 12 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Cancers | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | population genetic testing | en |
| dc.subject | ovarian cancer risk | en |
| dc.subject | risk stratification | en |
| dc.subject | BRCA1 | en |
| dc.subject | BRCA2 | en |
| dc.subject | RAD51C | en |
| dc.subject | RAD51D | en |
| dc.subject | BRIP1 | en |
| dc.subject | SNP | en |
| dc.subject | risk modelling | en |
| dc.subject | R Medicine | en |
| dc.subject | Cancer Research UK | en |
| dc.subject | C12292/A20861 | en |
| dc.subject | C16420/A18066 | en |
| dc.subject.lcc | R | en |
| dc.title | Population Study of Ovarian Cancer Risk Prediction for Targeted Screening and Prevention | en |
| dc.type | Journal article | en |
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