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

Published

Journal Article

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.

Duke Authors

Cited Authors

  • Janssens, ACJW; Ioannidis, JPA; Bedrosian, S; Boffetta, P; Dolan, SM; Dowling, N; Fortier, I; Freedman, AN; Grimshaw, JM; Gulcher, J; Gwinn, M; Hlatky, MA; Janes, H; Kraft, P; Melillo, S; O'Donnell, CJ; Pencina, MJ; Ransohoff, D; Schully, SD; Seminara, D; Winn, DM; Wright, CF; van Duijn, CM; Little, J; Khoury, MJ

Published Date

  • May 1, 2011

Published In

Volume / Issue

  • 19 / 5

Electronic International Standard Serial Number (EISSN)

  • 1476-5438

Citation Source

  • Scopus