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      Strengthening the Reporting of Genetic Risk Prediction Studies: The GRIPS Statement

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Cecile Janssens and colleagues present the GRIPS Statement, a checklist to help strengthen the reporting of genetic risk prediction studies.

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          Most cited references17

          • Record: found
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          Use and misuse of the receiver operating characteristic curve in risk prediction.

          Nancy R. Cook (2007)
          The c statistic, or area under the receiver operating characteristic (ROC) curve, achieved popularity in diagnostic testing, in which the test characteristics of sensitivity and specificity are relevant to discriminating diseased versus nondiseased patients. The c statistic, however, may not be optimal in assessing models that predict future risk or stratify individuals into risk categories. In this setting, calibration is as important to the accurate assessment of risk. For example, a biomarker with an odds ratio of 3 may have little effect on the c statistic, yet an increased level could shift estimated 10-year cardiovascular risk for an individual patient from 8% to 24%, which would lead to different treatment recommendations under current Adult Treatment Panel III guidelines. Accepted risk factors such as lipids, hypertension, and smoking have only marginal impact on the c statistic individually yet lead to more accurate reclassification of large proportions of patients into higher-risk or lower-risk categories. Perfectly calibrated models for complex disease can, in fact, only achieve values for the c statistic well below the theoretical maximum of 1. Use of the c statistic for model selection could thus naively eliminate established risk factors from cardiovascular risk prediction scores. As novel risk factors are discovered, sole reliance on the c statistic to evaluate their utility as risk predictors thus seems ill-advised.
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            A catalogue of reporting guidelines for health research.

            I Simera, D Moher, J Hoey … (2010)
            Growing evidence demonstrates widespread deficiencies in the reporting of health research studies. The EQUATOR Network is an international initiative that aims to enhance the reliability and value of the published health research literature. EQUATOR provides resources, education and training to facilitate good research reporting and assists in the development, dissemination and implementation of robust reporting guidelines. This paper presents a collection of tools and guidelines available on the EQUATOR website (http://www.equator-network.org) that have been developed to increase the accuracy and transparency of health research reporting.
            Article 0 comments Cited 279 times – based on 0 reviews     Review now
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              Reporting recommendations for tumor marker prognostic studies.

              Lisa McShane, Douglas G. Altman, Willi Sauerbrei … (2005)
              Article 0 comments Cited 240 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): PLoS Med
                Journal ID (publisher-id): PLoS
                Journal ID (pmc): plosmed
                Title: PLoS Medicine
                Publisher: Public Library of Science (San Francisco, USA )
                ISSN (Print): 1549-1277
                ISSN (Electronic): 1549-1676
                Publication date Collection: March 2011
                Publication date (Print): March 2011
                Publication date (Electronic): 15 March 2011
                Volume: 8
                Issue: 3
                Electronic Location Identifier: e1000420
                Affiliations
                [1 ]Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
                [2 ]Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
                [3 ]Biomedical Research Institute, Foundation for Research and Technology, Ioannina, Greece
                [4 ]Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States of America
                [5 ]Center for Genetic Epidemiology and Modeling and Tufts CTSI, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, United States of America
                [6 ]Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, United States of America
                [7 ]Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada
                [8 ]Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
                Author notes

                ICMJE criteria for authorship read and met: ACJWJ JPAI CMvD JL MK. Agree with the manuscript's results and conclusions: ACJWJ JPAI CMvD JL MK. Designed the experiments/the study: ACJWJ JPAI CMvD MK. Wrote the first draft of the paper: ACJWJ. Contributed to the writing of the paper: ACJWJ JPAI CMvD JL MK. Contributed to preparation of workshop (organization of agenda, supporting text), provided input based on experience in developing STREGA statement: JL. Spearheaded the GRIPS effort and convened participants of the workshop at CDC: MJK.

                ¶ Membership of the GRIPS Group is provided in the Acknowledgments.

                Article
                Publisher ID: 10-PLME-GG-5738R2
                DOI: 10.1371/journal.pmed.1000420
                PMC ID: 3058100
                PubMed ID: 21423587
                SO-VID: 803890aa-fdd0-4923-a7c1-17d3b7d441a3
                Copyright © This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
                History
                Page count
                Pages: 4
                Categories
                Subject: Guidelines and Guidance
                Subject: Genetics and Genomics
                Subject: Genetics and Genomics/Complex Traits
                Subject: Public Health and Epidemiology/Epidemiology
                Subject: Public Health and Epidemiology/Preventive Medicine
                Subject: Public Health and Epidemiology/Screening

                ScienceOpen disciplines: Medicine
                Data availability:
                ScienceOpen disciplines: Medicine

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