STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement

DOI
Publisher DOI
PubMed ID
19192942
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.
Date Issued
2009
Publication Type
Article
Language(s)
en
Author(s)
Little, Julian
Higgins, Julian P T
Ioannidis, John P A
Moher, David
Gagnon, France
Khoury, Muin J
Cohen, Barbara
Davey-Smith, George
Grimshaw, Jeremy
Scheet, Paul
Gwinn, Marta
Williamson, Robin E
Zou, Guang Yong
Hutchings, Kim
Johnson, Candice Y
Tait, Valerie
Wiens, Miriam
Golding, Jean
van Duijn, Cornelia
McLaughlin, John
Paterson, Andrew
Wells, George
Fortier, Isabel
Freedman, Matthew
Zecevic, Maja
King, Richard
Infante-Rivard, Claire
Stewart, Alex
Birkett, Nick
Additional Credits
Journal
PLoS medicine
Publisher
Public Library of Science
ISSN
1549-1277
Access(Rights)
open.access
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