Strengthening the reporting of genetic risk prediction studies (GRIPS): Explanation and elaboration

A. Cecile J.W. Janssens, John P.A. Ioannidis, Sara Bedrosian, Paolo Boffetta, Siobhan M. Dolan, Nicole Dowling, Isabel Fortier, Andrew N. Freedman, Jeremy M. Grimshaw, Jeffrey Gulcher, Marta Gwinn, Mark A. Hlatky, Holly Janes, Peter Kraft, Stephanie Melillo, Christopher J. O'Donnell, Michael J. Pencina, David Ransohoff, Sheri D. Schully, Daniela SeminaraDeborah M. Winn, Caroline F. Wright, Cornelia M. Van Duijn, Julian Little, Muin J. Khoury

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


The rapid and continuing progress in gene discovery for complex diseases is fueling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but they vary widely in completeness of reporting and apparent quality. Transparent reporting of the strengths and weaknesses of these studies is important to facilitate the accumulation of evidence on genetic risk prediction. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by previous reporting guidelines. These recommendations aim to enhance the transparency, quality and completeness of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis.

Original languageEnglish
Pages (from-to)493
Number of pages1
JournalEuropean Journal of Human Genetics
Issue number5
StatePublished - May 2011


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