The importance of using public data to validate reported associations
About the Authors: Georgia Chenevix-Trench Roles Conceptualization, Writing – original draft * E-mail: georgiaT@qimr.edu.au Affiliation: Queensland Institute of Medical Research Berghofer, Herston, Queensland, Australia ORCID logo http://orcid.org/0000-0002-1878-2587 Jonathan Beesley Roles Writing –...
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| Vydáno v: | PLoS genetics Ročník 14; číslo 6; s. e1007416 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
Public Library of Science
29.06.2018
Public Library of Science (PLoS) |
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| ISSN: | 1553-7404, 1553-7390, 1553-7404 |
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| Abstract | About the Authors: Georgia Chenevix-Trench Roles Conceptualization, Writing – original draft * E-mail: georgiaT@qimr.edu.au Affiliation: Queensland Institute of Medical Research Berghofer, Herston, Queensland, Australia ORCID logo http://orcid.org/0000-0002-1878-2587 Jonathan Beesley Roles Writing – review & editing Affiliation: Queensland Institute of Medical Research Berghofer, Herston, Queensland, Australia Paul D. P. Pharoah Roles Writing – original draft Affiliation: Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom Andrew Berchuck Roles Writing – review & editing Affiliation: Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, United States of America Citation: Chenevix-Trench G, Beesley J, Pharoah PDP, Berchuck A (2018) The importance of using public data to validate reported associations.The results published here are in part based upon data generated by The Cancer Genome Atlas Pilot Project established by the National Cancer Institute and National Human Genome Research Institute (dbGap accession number phs000178.v8.p7).In an analysis by the Ovarian Cancer Association Consortium (OCAC) [2], in over 25,000 ovarian cancer cases and 40,000 controls, no significant association was found for overall ovarian cancer risk (P = 0.24) or for any histological subtypes examined (P = 0.20 for high-grade serous ovarian cancer). |
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| AbstractList | About the Authors: Georgia Chenevix-Trench Roles Conceptualization, Writing – original draft * E-mail: georgiaT@qimr.edu.au Affiliation: Queensland Institute of Medical Research Berghofer, Herston, Queensland, Australia ORCID logo http://orcid.org/0000-0002-1878-2587 Jonathan Beesley Roles Writing – review & editing Affiliation: Queensland Institute of Medical Research Berghofer, Herston, Queensland, Australia Paul D. P. Pharoah Roles Writing – original draft Affiliation: Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom Andrew Berchuck Roles Writing – review & editing Affiliation: Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, United States of America Citation: Chenevix-Trench G, Beesley J, Pharoah PDP, Berchuck A (2018) The importance of using public data to validate reported associations.The results published here are in part based upon data generated by The Cancer Genome Atlas Pilot Project established by the National Cancer Institute and National Human Genome Research Institute (dbGap accession number phs000178.v8.p7).In an analysis by the Ovarian Cancer Association Consortium (OCAC) [2], in over 25,000 ovarian cancer cases and 40,000 controls, no significant association was found for overall ovarian cancer risk (P = 0.24) or for any histological subtypes examined (P = 0.20 for high-grade serous ovarian cancer). |
| Audience | Academic |
| Author | Pharoah, Paul D. P. Chenevix-Trench, Georgia Berchuck, Andrew Beesley, Jonathan |
| AuthorAffiliation | 1 Queensland Institute of Medical Research Berghofer, Herston, Queensland, Australia 2 Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom Cleveland Clinic Genomic Medicine Institute, UNITED STATES 3 Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, United States of America |
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| Cites_doi | 10.1038/ng.3826 10.1371/journal.pgen.1007194 |
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| Copyright | COPYRIGHT 2018 Public Library of Science 2018 Chenevix-Trench et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 Chenevix-Trench et al 2018 Chenevix-Trench et al |
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| References | KH Eng (ref1) 2018; 14 CM Phelan (ref2) 2017; 49 29447163 - PLoS Genet. 2018 Feb 15;14(2):e1007194. doi: 10.1371/journal.pgen.1007194. |
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| Title | The importance of using public data to validate reported associations |
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