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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.

Original publication

DOI

10.1007/s10654-011-9551-z

Type

Journal article

Journal

European journal of epidemiology

Publication Date

04/2011

Volume

26

Pages

313 - 337

Addresses

Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. a.janssens@erasmusmc.nl

Keywords

Humans, Genetic Predisposition to Disease, Risk Assessment, Epidemiologic Studies, Disclosure, Interdisciplinary Communication, Education, Adult, Aged, Middle Aged, Female, Male, Genetic Testing, Checklist