STrengthening the REporting of Genetic Association Studies (STREGA)--an extension of the STROBE statement.
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.
Little
Julian
J
Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada. jlittle@uottawa.ca
Higgins
Julian P T
JP
Ioannidis
John P A
JP
Moher
David
D
Gagnon
France
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von Elm
Erik
E
Khoury
Muin J
MJ
Cohen
Barbara
B
Davey-Smith
George
G
Grimshaw
Jeremy
J
Scheet
Paul
P
Gwinn
Marta
M
Williamson
Robin E
RE
Zou
Guang Yong
GY
Hutchings
Kim
K
Johnson
Candice Y
CY
Tait
Valerie
V
Wiens
Miriam
M
Golding
Jean
J
van Duijn
Cornelia
C
McLaughlin
John
J
Paterson
Andrew
A
Wells
George
G
Fortier
Isabel
I
Freedman
Matthew
M
Zecevic
Maja
M
King
Richard
R
Infante-Rivard
Claire
C
Stewart
Alex
A
Birkett
Nick
N
D003627:Data Interpretation, Statistical; D005821:Genetic Techniques; D015894:Genome, Human; D055106:Genome-Wide Association Study / Q000379:methods*; D005838:Genotype; D017408:Guidelines as Topic; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D017720:Molecular Epidemiology / Q000592:standards*; D011634:Public Health; D040641:Quantitative Trait Loci; D012107:Research Design