Literature DB >> 19278015

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

Julian Little1, Julian P T Higgins, John P A Ioannidis, David Moher, France Gagnon, Erik von Elm, Muin J Khoury, Barbara Cohen, George Davey-Smith, Jeremy Grimshaw, Paul Scheet, Marta Gwinn, Robin E Williamson, Guang Yong Zou, Kim Hutchings, Candice Y Johnson, Valerie Tait, Miriam Wiens, Jean Golding, Cornelia van Duijn, John McLaughlin, Andrew Paterson, George Wells, Isabel Fortier, Matthew Freedman, Maja Zecevic, Richard King, Claire Infante-Rivard, Alex Stewart, Nick Birkett.   

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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Year:  2009        PMID: 19278015     DOI: 10.1002/gepi.20410

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  66 in total

1.  Chemokine ligand 2 genetic variants, serum monocyte chemoattractant protein-1 levels, and the risk of coronary artery disease.

Authors:  Diederik F van Wijk; Sander I van Leuven; Manjinder S Sandhu; Michael W Tanck; Barbara A Hutten; Nicholas J Wareham; John J P Kastelein; Erik S G Stroes; Kay-Tee Khaw; S Matthijs Boekholdt
Journal:  Arterioscler Thromb Vasc Biol       Date:  2010-04-29       Impact factor: 8.311

2.  Genetic Variants Associated With Immunosuppressant Pharmacokinetics and Adverse Effects in the DeKAF Genomics Genome-wide Association Studies.

Authors:  William S Oetting; Baolin Wu; David P Schladt; Weihua Guan; Jessica van Setten; Brendan J Keating; David Iklé; Rory P Remmel; Casey R Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Transplantation       Date:  2019-06       Impact factor: 4.939

3.  The Reporting Of MEdication use in Observational studies (ROMEO) Statement.

Authors:  Susan G Poole; J Simon Bell; Michael J Dooley; Carl M Kirkpatrick
Journal:  Eur J Clin Pharmacol       Date:  2015-05-09       Impact factor: 2.953

4.  Genetic variants in tooth agenesis-related genes might be also involved in tooth size variations.

Authors:  Arthur S Cunha; Luiza Vertuan Dos Santos; Guido Artemio Marañón-Vásquez; Christian Kirschneck; Jennifer Tsi Gerber; Maria Bernadete Stuani; Mírian Aiko Nakane Matsumoto; Alexandre Rezende Vieira; Rafaela Scariot; Erika Calvano Küchler
Journal:  Clin Oral Investig       Date:  2020-07-09       Impact factor: 3.573

Review 5.  Statistical data presentation: a primer for rheumatology researchers.

Authors:  Durga Prasanna Misra; Olena Zimba; Armen Yuri Gasparyan
Journal:  Rheumatol Int       Date:  2020-11-17       Impact factor: 2.631

6.  A population-specific correlation between ADIPOQ rs2241766 and rs 1501299 and colorectal cancer risk: a meta-analysis for debate.

Authors:  Lin Ye; Guobin Wang; Yong Tang; Jie Bai
Journal:  Int J Clin Oncol       Date:  2016-10-04       Impact factor: 3.402

7.  DNA methylation studies of depression with onset in the peripartum: A critical systematic review.

Authors:  Sarah Ellen Braun; Dana Lapato; Roy E Brown; Eva Lancaster; Timothy P York; Ananda B Amstadter; Patricia A Kinser
Journal:  Neurosci Biobehav Rev       Date:  2019-04-11       Impact factor: 8.989

8.  Identifying biomarkers as diagnostic tools in kidney transplantation.

Authors:  Valeria R Mas; Thomas F Mueller; Kellie J Archer; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

9.  Genome wide linkage study, using a 250K SNP map, of Plasmodium falciparum infection and mild malaria attack in a Senegalese population.

Authors:  Jacqueline Milet; Gregory Nuel; Laurence Watier; David Courtin; Yousri Slaoui; Paul Senghor; Florence Migot-Nabias; Oumar Gaye; André Garcia
Journal:  PLoS One       Date:  2010-07-15       Impact factor: 3.240

Review 10.  Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?

Authors:  Naoko I Simonds; Armen A Ghazarian; Camilla B Pimentel; Sheri D Schully; Gary L Ellison; Elizabeth M Gillanders; Leah E Mechanic
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

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