Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): explanation and elaboration

The rapid and continuing progress in gene discovery for complex diseases is fuelling 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 completene...

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Veröffentlicht in:Journal of clinical epidemiology 2011-08, Vol.64 (8), p.e1-e22
Hauptverfasser: Janssens, A. Cecile J.W, Ioannidis, John P.A, Bedrosian, Sara, Boffetta, Paolo, Dolan, Siobhan M, Dowling, Nicole, Fortier, Isabel, Freedman, Andrew N, Grimshaw, Jeremy M, Gulcher, Jeffrey, Gwinn, Marta, Hlatky, Mark A, Janes, Holly, Kraft, Peter, Melillo, Stephanie, O’Donnell, Christopher J, Pencina, Michael J, Ransohoff, David, Schully, Sheri D, Seminara, Daniela, Winn, Deborah M, Wright, Caroline F, van Duijn, Cornelia M, Little, Julian, Khoury, Muin J
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container_title Journal of clinical epidemiology
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creator Janssens, A. Cecile J.W
Ioannidis, John P.A
Bedrosian, Sara
Boffetta, Paolo
Dolan, Siobhan M
Dowling, Nicole
Fortier, Isabel
Freedman, Andrew N
Grimshaw, Jeremy M
Gulcher, Jeffrey
Gwinn, Marta
Hlatky, Mark A
Janes, Holly
Kraft, Peter
Melillo, Stephanie
O’Donnell, Christopher J
Pencina, Michael J
Ransohoff, David
Schully, Sheri D
Seminara, Daniela
Winn, Deborah M
Wright, Caroline F
van Duijn, Cornelia M
Little, Julian
Khoury, Muin J
description The rapid and continuing progress in gene discovery for complex diseases is fuelling 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 prior 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.
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subjects Checklist
Epidemiology
Genetic Research
Genetics
Genome-Wide Association Study - standards
Genomics - methods
Health risk assessment
Humans
Internal Medicine
Macular degeneration
Medical research
Models, Genetic
Publishing - standards
Studies
title Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): explanation and elaboration
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