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Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration
Author(s) -
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.
Publication year - 2011
Publication title -
european journal of clinical investigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.164
H-Index - 107
eISSN - 1365-2362
pISSN - 0014-2972
DOI - 10.1111/j.1365-2362.2011.02493.x
Subject(s) - checklist , multidisciplinary approach , transparency (behavior) , elaboration , completeness (order theory) , risk assessment , quality (philosophy) , disease , strengths and weaknesses , medicine , computer science , data science , management science , psychology , pathology , political science , engineering , mathematical analysis , social psychology , computer security , mathematics , law , cognitive psychology , philosophy , epistemology , humanities
Eur J Clin Invest 2011; 41 (9): 1010–1035 Summary Points• 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.