STrengthening the REporting of Genetic Association Studies (STREGA)— An Extension of the STROBE Statement

Julian Little(University of Ottawa), Julian P. T. Higgins(MRC Biostatistics Unit), John P. A. Ioannidis(Tufts University), David Moher(University of Ottawa), France Gagnon(University of Toronto), Erik von Elm(University of Bern), Muin J. Khoury(Centers for Disease Control and Prevention), Barbara Cohen(Public Library of Science), George Davey-Smith(University of Bristol), Jeremy Grimshaw(University of Ottawa), Paul Scheet(The University of Texas MD Anderson Cancer Center), Marta Gwinn(Centers for Disease Control and Prevention), Robin E. Williamson(American Society of Human Genetics), Guangyong Zou(Western University), Kim Hutchings(University of Ottawa), Candice Y. Johnson(University of Ottawa), Valerie Tait(University of Ottawa), Miriam Wiens(University of Ottawa), Jean Golding, Cornelia M. van Duijn, John McLaughlin(Ontario Institute for Cancer Research), Andrew D. Paterson(SickKids Foundation), George A. Wells(University of Ottawa), Isabel Fortier(McGill University and Génome Québec Innovation Centre), Matthew L. Freedman(Dana-Farber Cancer Institute), Maja Zečević, Richard King, Claire Infante‐Rivard(McGill University), Alexandre F.R. Stewart(University of Ottawa), Nick Birkett(University of Ottawa)
PLoS Medicine
January 30, 2009
Cited by 782Open Access
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Abstract

Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.


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