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Strengthening the reporting of genetic risk prediction studies: the GRIPS statement

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 the quality and completeness of...

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Autores principales: Janssens, A Cecile JW, Ioannidis, John PA, van Duijn, Cornelia M, Little, Julian, Khoury, Muin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3172920/
https://www.ncbi.nlm.nih.gov/pubmed/21407265
http://dx.doi.org/10.1038/ejhg.2011.25
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author Janssens, A Cecile JW
Ioannidis, John PA
van Duijn, Cornelia M
Little, Julian
Khoury, Muin J
author_facet Janssens, A Cecile JW
Ioannidis, John PA
van Duijn, Cornelia M
Little, Julian
Khoury, Muin J
author_sort Janssens, A Cecile JW
collection PubMed
description 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 the quality and completeness of reporting varies. 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, building on the principles established by previous reporting guidelines. These recommendations aim to enhance the transparency of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct, or analysis. A detailed Explanation and Elaboration document is published on the EJHG website.
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spelling pubmed-31729202011-09-19 Strengthening the reporting of genetic risk prediction studies: the GRIPS statement Janssens, A Cecile JW Ioannidis, John PA van Duijn, Cornelia M Little, Julian Khoury, Muin J Eur J Hum Genet Policy 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 the quality and completeness of reporting varies. 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, building on the principles established by previous reporting guidelines. These recommendations aim to enhance the transparency of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct, or analysis. A detailed Explanation and Elaboration document is published on the EJHG website. Nature Publishing Group 2011-08 2011-03-16 /pmc/articles/PMC3172920/ /pubmed/21407265 http://dx.doi.org/10.1038/ejhg.2011.25 Text en Copyright © 2011 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Policy
Janssens, A Cecile JW
Ioannidis, John PA
van Duijn, Cornelia M
Little, Julian
Khoury, Muin J
Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
title Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
title_full Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
title_fullStr Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
title_full_unstemmed Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
title_short Strengthening the reporting of genetic risk prediction studies: the GRIPS statement
title_sort strengthening the reporting of genetic risk prediction studies: the grips statement
topic Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3172920/
https://www.ncbi.nlm.nih.gov/pubmed/21407265
http://dx.doi.org/10.1038/ejhg.2011.25
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