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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Vydané v:PLoS genetics Ročník 14; číslo 6; s. e1007416
Hlavní autori: Chenevix-Trench, Georgia, Beesley, Jonathan, Pharoah, Paul D. P., Berchuck, Andrew
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 29.06.2018
Public Library of Science (PLoS)
Predmet:
Analysis
Biology and Life Sciences
Cancer research
Consortia
Epidemiology
Fact checking
Formal Comment
Funding
Genetic aspects
Genomes
Gynecology
Health risk assessment
Medical research
Medicine and Health Sciences
Methods
Obstetrics
Ovarian cancer
Public health
Risk factors
Science Policy
Social Sciences
North Carolina
Cleveland Ohio
Georgia
Queensland Australia
United Kingdom > UK
United States > US
ISSN:1553-7404, 1553-7390, 1553-7404
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Shrnutí: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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The authors have declared that no competing interests.
ISSN:1553-7404
1553-7390
1553-7404
DOI:10.1371/journal.pgen.1007416